Next Article in Journal
Evaluation of Thermal Aging Susceptibility of Recycled Waste Plastic Aggregates (Low-Density Polyethylene, High-Density Polyethylene, and Polypropylene) in Recycled Asphalt Pavement Mixtures
Previous Article in Journal
Phase-Change Materials as Cryo-Shock Absorbers in Rigid Polyurethane Cryogenic Insulation Foams
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Testing Small-Strain Dynamic Characteristics of Expanded Polystyrene Lightweight Soil: Reforming the Teaching of Engineering Detection Experiments

Shaoxing Key Laboratory of Interaction Between Soft Soil Foundation and Building Structure, School of Civil Engineering, Shaoxing University, Shaoxing 312000, China
*
Author to whom correspondence should be addressed.
Polymers 2025, 17(6), 730; https://doi.org/10.3390/polym17060730
Submission received: 19 January 2025 / Revised: 5 March 2025 / Accepted: 7 March 2025 / Published: 10 March 2025
(This article belongs to the Section Polymer Applications)

Abstract

:
This study investigated the small-strain dynamic properties of expanded polystyrene (EPS) lightweight soil (ELS), a low-density geosynthetic material used to stabilize slopes and alleviate the subgrade settlement of soft soil. Resonant column tests were conducted to evaluate the effects of EPS’s granule content (20–60%), confining pressures (50 kPa, 100 kPa, and 200 kPa), and curing ages (3 days, 7 days, and 28 days) on the dynamic shear modulus (G) of ELS within a small strain range (10−6–10−4). The results indicate that ELS exhibits a high dynamic shear modulus under small strains, which increases with higher confining pressure and longer curing age but decreases with an increasing EPS granule content and dynamic shear strain, leading to mechanical property deterioration and structural degradation. The maximum shear modulus (Gmax) ranges from 64 MPa to 280 MPa, with a 60% reduction in Gmax observed as the EPS granule content increases and increases by 11% and 55% with higher confining pressure and longer curing ages, respectively. A damage model incorporating the EPS granule content (aE) and confining pressure (P) was established, effectively describing the attenuation behavior of G in ELS under small strains with higher accuracy than the Hardin–Drnevich model. This study also developed an engineering testing experiment that integrates materials science, soil mechanics, and environmental protection principles, enhancing students’ interdisciplinary knowledge, innovation, and practical skills with implications for engineering construction, environmental protection, and experimental education.

1. Introduction

Expanded polystyrene (EPS), a type of expanded plastic material made from steam-expanded polystyrene beads, is commonly used in construction and insulation applications due to its lightweight and durable nature. When EPS particles are incorporated into lightweight soil, they contribute to the creation of expanded polystyrene lightweight soil (ELS), a novel geotechnical material characterized by its lightweight, high strength, durability, and excellent self-supporting properties [1]. ELS demonstrates promising application prospects in addressing geotechnical and environmental issues, with its feasibility demonstrated in soft soil foundation treatment, backfill behind retaining walls, and roof insulation engineering [2,3]. The uniformity of the EPS particle distribution within the soil plays a crucial role in enhancing the bearing capacity of soft soil foundations [4]. Additionally, the resource utilization of polystyrene foam, such as combining recycled EPS waste with mortar to form lightweight bricks, effectively reduces white pollution [5,6]. In the fields of foundation, slope, and geotechnical engineering, most soil structures are often in a small strain state (10−6 to 10−4), and the small deformations of soil under dynamic loads have garnered significant attention [7,8,9]. However, there is a notable discrepancy between the soil stiffness at small strain levels and that obtained through traditional tests, highlighting the importance of considering small-strain characteristics when studying soil deformation and stiffness. Furthermore, accurately assessing the small-strain shear modulus is essential for analyzing the deformation behavior and dynamic performance of ELS under dynamic loading conditions [10,11,12].
Currently, several trial studies have been conducted to explore the dynamic shear modulus of ELS at small strains, employing methods such as resonant column tests, bending element tests, and dynamic triaxial tests. Sherbiny et al. [13], using resonant column tests, investigated the dynamic properties of light soil combined with EPS–sand particles at different confining pressures and minor strains. It was discovered that a 0.5% increase in the number of EPS particles led to a 12% reduction in soil weight, which was associated with a drop in shear stiffness. To investigate the stiffness characteristics of expanded polystyrene composite soil under small strains, Gao et al. [14] carried out unconfined compressive tests and resonant column trials. The findings showed that the unconfined compressive strength and shear modulus of the expanded polystyrene composite soil increased with rising cement and confining pressure levels and declined with the increasing EPS particle content. Using cyclic triaxial and bending element experiments, Alaie et al. [15] investigated how the small-strain shear modulus of lightweight soil containing a mixture of sand and EPS particles was affected by the amount of EPS particle content, confining pressure, and shear-strain amplitude. The findings demonstrate that, although the dynamic shear modulus obtained from the cyclic triaxial test was largely reliant on the EPS particle content, as the EPS particle admixture increased, the shear wave velocity and shear modulus magnitude measured using the bending element test dropped. Bekranbehesht et al. [16] used bending element testing to examine the impact of EPS particles and confining pressure on the mixed quartz and calcareous sands’ small-strain dynamic shear modulus. For the mixture of both sands, the maximum dynamic shear modulus was found to decrease with an increase in EPS particle mixing and rise with an increase in confining pressure. In addition, Gao et al. [17] examined the dynamic shear modulus of EPS-blended soils and discovered that EPS particle doping had no discernible effect on blended soils’ initial dynamic shear modulus as a result of the strength of the cemented structure and the initial stress level. However, the blended soil’s dynamic shear modulus was significantly weakened by the EPS particles when the soil entered the nonlinear phase. Zhu et al. [18] performed dynamic triaxial testing on a blend of lightweight soil, sand, and EPS particles. Their analysis focused on how confining pressure, the EPS particle mixture, cement content, and cycle count affected the dynamic shear modulus attenuation of the lightweight soil. Additionally, they developed a model to predict the dynamic shear modulus’ attenuation. In summary, the majority of academic studies primarily examine how the doping of EPS particles and confining pressure affect lightweight soil’s dynamic shear modulus. However, as soil engineering performance standards and structural safety and stability are progressively improved, it is also critical to investigate how soil’s dynamic shear modulus is affected by curing age [19]. At the same time, most researchers have underexplored the decay law and damage mechanism of the small-strain shear modulus (G) of ELS. Furthermore, there is a lack of mathematical models describing the relationship between confining pressure, EPS particle content, and the dynamic shear modulus of ELS.
The effect of different EPS particle contents, confining pressures, and curing ages on the small-strain G of ELS was investigated using resonant column tests. Due to the complex composition and structure of ELS, its porosity and structural properties show obvious differences under different mixing ratios, leading to the damage characteristics of the specimens under dynamic loading conditions. By adding damage variables, a small-strain damage model was created based on damage theory and the experimental findings, which were used to characterize the attenuation of the dynamic shear modulus of ELS specimens with the increase in dynamic shear strain. For the application of ELS in foundation treatment, highways, and bridges, theoretical underpinnings and data references are provided.
At present, traditional undergraduate experiments such as soil mechanic experiments, detection experiments, physics experiments, and structural experiments are closely related to theoretical courses in civil engineering majors [20]. However, these independent experimental projects lack corresponding internal connections, which cannot meet the needs of civil engineering research and development and also limit the cultivation of students’ innovative thinking. Therefore, it is urgent to reform the teaching of engineering detection experiments for undergraduate students. In order to address the impact of EPS on the environment and explore the mechanical properties of ELS under small-strain dynamic loads while further improving students’ engineering testing and experimental skills, broadening their knowledge, and enhancing their innovation ability, this paper details the design of an innovative engineering detection experimental project that integrates environmental science, materials science, and soil mechanics. The influence of different EPS particle contents, confining pressures, and curing ages on the dynamic shear modulus of ELS was studied through resonant column tests. This experimental project can not only help students integrate existing fragmented knowledge and solve scientific research problems but also enable them to master experimental skills in the fields of environmental science, materials science, and soil mechanics, thereby enhancing their innovation ability.

2. Materials and Methods

2.1. Materials

ELS is composed of soil, EPS particles, cement, a sodium silicate solution, and water, with the raw materials shown in Figure 1a. The soil used in the experiment was collected from a renovation project site in Shaoxing City, Zhejiang Province, and it exhibited a yellowish-brown color. The basic physical properties of the soil were tested according to the Test Methods of Soils for Highway Engineering (JTG 3430-2020) [21], and the results are presented in Table 1. After being dried and crushed, the soil was subjected to particle size analysis, revealing that it primarily consists of sand particles, as illustrated in Figure 1b. Based on preliminary experimental preparations, to achieve the goal of lightweight design and high strength in the ELS specimens, EPS particles with a diameter of 2–3 mm were selected. These particles had a bulk density of 0.018 g/cm3, pure particle density of 0.0314 g/cm3, and compressive strength of up to 170 kPa, demonstrating good durability. The curing agents used were cement and sodium silicate solution. Considering both strength and cost-effectiveness, the cement type chosen was P.C. 42.5 composite Portland cement, and the sodium silicate solution had a concentration of 40% and a modulus of 3.2. Ordinary tap water was used for the experiments. The diversity of experimental materials can enhance students’ interest in learning and stimulate their innovative thinking.

2.2. Specimen Preparation

According to the standard for geotechnical testing methods GB/T 50123-2019 [22], to minimize sample preparation errors, resonance column tests were conducted using 15 cylindrical specimens with a diameter of 50 mm and a height of 100 mm. The preparation process for the ELS specimens is given as follows: (1) Weigh the required masses of raw soil, EPS particles, cement, sodium silicate solution, and water according to the test mix ratio. (2) Thoroughly mix the soil, cement, sodium silicate solution, and water, and stir for 3 min. (3) Add the EPS particles and stir uniformly for another 3 min to ensure even dispersion of the EPS particles within the soil, forming a flowable ELS mixture. (4) Pour the prepared ELS mixture into cylindrical molds measuring 50 mm × 100 mm. Each mold is filled in three layers, with each layer undergoing vibration 10 times to ensure the mixture is dense and uniform. After pouring, cover the molds with plastic wrap and allow them to sit for 4 h for initial hardening. (5) Once the specimens have initially hardened, level and demold them to obtain standard cylindrical specimens with a diameter of 50 mm and a height of 100 mm. Wrap the specimens in plastic wrap and place them in a standard curing chamber, maintaining a temperature of 20 ± 2 °C and a relative humidity of 95% or higher. The specimen preparation process is illustrated in Figure 2.

2.3. Test Program

2.3.1. Resonance Column Trialing System

The resonant column test is used to determine the dynamic shear modulus of ELS at small strains (10−6–10−4). The test was conducted using the GDS-RCA resonant column system, which consists of a counterpressure controller, a data collection system, an electromagnetic drive system, a base, an accelerometer, and a computer. The test mode involves excitation through torsion. The structure of the instrument is shown in Figure 3.

2.3.2. Resonance Column Test Program

To investigate the variation law of the dynamic shear modulus of ELS under small strains, resonant column tests were conducted on specimens with different EPS particle contents, confining pressures, and curing ages. To more accurately simulate the stress state of ELS at different soil depths, three different confining pressures were selected: 50 kPa, 100 kPa, and 200 kPa [23]. Table 2 presents the resonant column test scheme. The proportions of EPS particles, cement, sodium silicate, and water in the table are all percentages relative to the weight of dry soil.

2.3.3. Resonance Column Test Procedure

The steps for the resonant column test are given as follows: (1) Place the ELS sample to be tested into a rubber membrane, secure it on the instrument base, and cover it with a top cap. Fix both ends with rubber rings. Then, install the waterproof cover and slowly inject pure water around the sample until it submerges the top of the sample. Connect the electromagnetic drive system to the top cap of the sample and level the equipment to ensure each magnet is centered within the coil. After leveling, install the accelerometer and drainpipe and lower the pressure chamber to complete the sample installation. (2) Open the GDS-RCA testing system and set the corresponding parameters according to the testing program, such as 50, 100, or 200 kPa confining pressure. After setting the parameters, select the “Torsion” test module in the system software. Apply a sinusoidal voltage of 0.01 V to the electromagnetic coil to generate torque on the sample and perform a wide-frequency scan on the acceleration signal from the accelerometer to obtain the frequency corresponding to the maximum voltage peak. (3) Based on the frequency range obtained from the wide-frequency scan, apply a voltage of 0.01–1 V to the electromagnetic coil during the fine scan to determine the sample’s resonant frequency. The measured resonant frequency range for the ELS sample is 38.3–108.2 Hz. (4) Calculate the sample’s moment of inertia based on its outer diameter (d) and mass (m). Determine the β value for different samples by referring to a table based on the ratio of the sample’s moment of inertia (I) to the resonant column drive system’s moment of inertia (I0). (5) Calculate the shear wave velocity (Vs) using the resonant frequency (f), β value, and sample height (H). Finally, determine the dynamic shear modulus (G) of the sample based on the sample density (ρ) and shear wave velocity (Vs). (6) By installing an accelerometer on the drive disk, the resonance output voltage and resonance frequency of the specimen are obtained. Based on the geometric dimensions of the specimen, the dynamic shear strain is calculated. The specific formulas are given as Equations (1)–(5):
I = m d 2 8
where I is the moment of inertia of the sample; m is the mass (kg); and d is the outside diameter (m).
I / I 0 = β tan β
Here, I0 is the moment of inertia of the resonant column drive system (kg·m2).
V s = 2 π f H β
Here, Vs is the shear wave velocity (m/s); f is the resonance frequency (Hz); H is the sample height (m); and β is the eigenvalue of the torsional vibration equation (kg·m2).
G = ρ V s 2
Here, G is a dynamic shear modulus (MPa), and ρ is the sample density (t/m3).
γ = 4.596 V d f 2 H
Here, γ is a dynamic shear strain (%), and V is the resonance output voltage (Volts).

3. Results and Analysis

3.1. Density and Shear Wave Velocity of ELS

Two important factors that affect the soil’s dynamic shear modulus are density and shear wave velocity [24,25].
Figure 4 shows the variation in density for specimens with different EPS particle contents at different curing ages. It indicates that at the curing ages of 3 days, 7 days, and 28 days, as the EPS particle content increases, the density of ELS gradually decreases. As the curing age increases, the density of the specimens with a 20% to 60% EPS particle content decreases by 36%, 36%, and 38%, respectively. Generally, the density varies from 0.85 t/m3 to 1.37 t/m3.
Figure 5 illustrates the variation in shear wave velocity of ELS specimens under the influence of different EPS particle contents (aE), confining pressures, and curing ages. It shows that with an increase in the EPS particle content, the shear wave velocity of ELS generally decreases. Taking the 7-day curing age and 100 kPa confining pressure as an example, compared to the 20% EPS particle content, the shear wave velocities at the 30%, 40%, 50%, and 60% EPS particle contents decrease by 7%, 19%, 20%, and 26%, respectively. Additionally, using a 40% EPS particle content as a boundary, there is a significant decrease in shear wave velocity from low content (aE = 20%, 30%) to high content (aE = 50%, 60%). This decrease is related to the mechanism by which EPS particles affect the soil. As an expansive particle, the incorporation of EPS into the soil reduces the density of the specimen, leading to a looser internal structure of the soil and a decrease in shear wave velocity [26].
Under the same curing age, the shear wave velocity of ELS specimens with various EPS particle contents increases with the rise in confining pressure. The increase in shear wave velocity for specimens with higher EPS particle contents is significantly greater than that for those with lower contents. For example, at a 7-day curing age, the shear wave velocity of the specimen with a 20% particle content increases by 1% with an increase in the confining pressure, while the specimen with a 60% particle content shows an increase of 6%. This is mainly because the increase in confining pressure compresses the specimen’s pores, making the ELS specimens denser. The porosity of specimens with a high EPS particle content is larger than that of those with a low content, resulting in a more noticeable compression of the specimens with increasing confining pressure [27]. Meanwhile, as the curing age extends, the shear wave velocity of ELS specimens gradually increases, which is closely related to the hydration reaction of the material. In the early stages of curing, the reaction between the cement particles and water is not yet complete, leading to a relatively loose internal specimen structure and a lower shear wave velocity. As the curing time increases, the degree of cement hydration improves, forming more hydration products, which enhances the density and strength of the specimen and thereby increases the shear wave velocity [28].

3.2. Curves of Dynamic Shear Modulus G and Dynamic Shear Strain γ

The dynamic shear modulus is a crucial parameter for examining the stiffness properties of soil in numerical simulations, serving as a standard that indicates the material’s bearing capacity [29]. Dynamic shear modulus and dynamic shear strain (Gγ) relationship curves were established for varying EPS particle mixing amounts, confining pressures, and curing ages.

3.2.1. Impact of Adding EPS Particles on the Gγ Relationship Curve

When ELS is combined with EPS particles, the porosity, and compressibility of the specimen increase to some extent due to the low density of EPS particles and the porous structure between the particles. Additionally, during the cement hydration process, the hydration products (C-S-H) generated from the reaction between cement and water exhibit poor adhesion to the surface of EPS particles, making it difficult to fill the pores between the particles, which, in turn, affects the mechanical properties of the specimen [30]. The distribution of EPS particles also influences the uniformity of the specimen’s structure, further regulating the changes in porosity and compressibility [3]. Simultaneously, the addition of EPS particles leads to a decrease in the overall density of ELS. As clearly shown in Equation (4), the reduction in density results in a decrease in the dynamic shear modulus of the specimen. Taking the 7-day curing age data as an example, the influence of the EPS particle content on the Gγ relationship curve of ELS under confining pressures of 50 kPa, 100 kPa, and 200 kPa is illustrated in Figure 6.
As the dynamic shear strain (γ) increases, the dynamic shear modulus (G) of ELS exhibits a declining tendency at different EPS particle contents. In the initial stage (0.0015% < γ < 0.0073%), G decreases slowly. When γ > 0.01%, the rate of decline gradually accelerates, and the curve as a whole shows a characteristic nonlinear decline. At the same time, with the increase in the EPS particle content, G decreases, and the Gγ curve shifts to the right, meaning that the dynamic shear-strain value the specimen can withstand increases.
This is due to changes in the cemented structure of the lightweight soil as EPS particles are added. Additionally, as the number of EPS particles increases, the volume of the soil cavity increases. This increase in the soil’s weak internal surface reduces the force capacity of the cemented structure. This diminishes the ability to withstand deformation and causes a drop in the dynamic shear modulus of the lightweight soil [31]. At the same time, at a small dynamic shear strain (γ = 0.0015%), the comparative shift in the particles inside the lightweight soil with EPS particles is small, and it does not cause damage to the specimen. However, as the dynamic shear strain progressively increases, the comparative shift in the particles inside the specimen grows. The material’s microcracks eventually enlarge and connect, generating macroscopic fractures that cause strain softening. As a result, G decays more quickly as γ increases.

3.2.2. Impact of Confining Pressure on the Gγ Curve

Since external pressure affects the soil throughout the burial process, in the practical application of ELS, the G value changes as the soil pressure increases. To investigate how confining pressure (P) influences G, the Gγ relationship curves of ELS under varying confining pressures were obtained for five different EPS particle contents, using the 7-day data as an example, as shown in Figure 7.
This is because, during sample preparation, certain pores develop within the EPS granular lightweight soil’s internal structure. As a result, as γ increases, the lightweight soil becomes more porous, and the specimen’s shear strength decreases, which lowers G. However, as P increases, the frictional force between the EPS particles also increases. This makes it more difficult for the particles to slide and deform under dynamic loading, and, at the same time, it limits the lateral displacement of the lightweight soil, increasing G. The EPS particles provide a large amount of compressive deformation space to the specimen [32]. As P increases, the specimen becomes compressed and denser, enhancing its resistance to deformation and increasing the dynamic shear modulus. Additionally, the increase in P reduces the porosity within the lightweight soil structure. The denser the soil specimen is, the faster the wave propagation speed becomes.

3.2.3. Curing Age Impact on the Gγ Relationship

The G of ELS varies, and material strength increases as the curing age (T) progresses due to more thorough internal material reactions. To examine the effect of curing age on the G of ELS, experimental data at the 100 kPa confining pressure were integrated. The study yielded Gγ relationship curves for five different EPS particle contents, with curing ages of 3 d, 7 d, and 28 d, as shown in Figure 8.
With a consistent EPS particle content, the G of the specimens increases with longer curing ages, peaking at T = 28 d. Additionally, the G of the specimens shows a nonlinear decrease with an increasing dynamic shear strain at each curing age. At γ > 0.01%, the rate of decline accelerates. For example, when the volume mixing ratio of EPS particles reached 30% under the same dynamic shear strain (γ = 0.002%), the G of the specimens at a 28 d curing age increased by 73 MPa and 112 MPa compared to those at 7 d and 3 d curing ages, respectively. In the range of 0.002% < γ < 0.008%, the G of the specimens at T = 28 d, 7 d, and 3 d decreased by 3%, 7%, and 14%, respectively, compared to the previous strain range. As the dynamic shear strain rises, the rate of reduction accelerates.
This is because the bonding material’s hydration reaction occurs for longer as the curing age of ELS increases, filling the pores with hydration products. This enhances the bonding structure strength of the specimens and increases material stiffness [33]. The hydrophobic nature of the EPS particle surfaces leads to poor adhesion with the bonding material. However, as the curing age increases, hydration products deposit on the EPS particle surfaces, thereby enhancing the bonding capacity between the EPS particles and the bonding material [34]. Simultaneously, EPS particles act as a framework, forming a stable structural framework. With the strengthening of adhesion, the shear resistance of the specimens further improves as the curing age increases [35].

3.3. Maximum Dynamic Shear Modulus Gmax

3.3.1. Gmax Computation

The dynamic shear modulus maximum (Gmax) is an essential component of soil dynamics; Gmax refers to the maximum stiffness of the soil under shear stress [36]. Since the EPS particles–lightweight soil curve shape follows a hyperbolic form, the Hardin hyperbolic model [37] is used in this study to compute the Gmax of ELS at small strains. The expression for the Hardin hyperbolic model is as follows:
τ = γ a + b γ
where a and b are the fitting parameters, τ is the dynamic shear stress (kPa), and γ is the dynamic shear strain (%).
Substituting τ = G·γ into Equation (6), the expression for the dynamic shear modulus can be derived, and the linear association between 1/G and γ can then be revealed, as outlined in Equation (7).
1 G = a + b γ
Furthermore, from Equation (7), it is clear that when γ approaches 0, 1/G = a, thereby yielding the maximum dynamic shear modulus Gmax = 1/a. Figure 9 presents the calculated results of Gmax under various curing ages. It can be noted that variations in the EPS particle content, restricting pressure, and curing age have different effects on the Gmax calculation.

3.3.2. Impact of the EPS Particle Content on Gmax

Figure 10 displays the relationship between the Gmax of the ELS and EPS particle contents. At every confining pressure and curing age, Gmax decreases as the EPS particle content increases. For example, in Figure 10b, Gmax at a curing age of 7 d was 227, 236, and 238 MPa for 50, 100, and 200 kPa confining pressures, respectively. With an increasing EPS particle content, Gmax decreased to 79, 84, and 89 MPa, respectively, representing a relative decrease of 65%, 64%, and 63%. A summary of the Gmax reduction percentage under different EPS contents is shown in Table 3.

3.3.3. Impact of Confining Pressure on Gmax

Figure 11 demonstrates the relationship between Gmax and the confining pressure of ELS. For each of the five distinct EPS particle contents, the Gmax rises as the restricting pressure increases at the same curing age. For example, the Gmax was 227 MPa, 184 MPa, 126 MPa, 103 MPa, and 79 MPa at a curing age of 7 d. The Gmax increased to 238 MPa, 197 MPa, 143 MPa, 110 MPa, and 89 MPa, respectively, as the confining pressure increased, corresponding to relative increases of 5%, 7%, 14%, 7%, and 12%.

3.3.4. Impact of Curing Age on Gmax

Figure 12 shows the relationship between the Gmax and curing age. When the curing age increases in similar restricting pressure circumstances, the Gmax with varying EPS particle contents exhibits an increasing trend. For example, at EPS particle contents of 20%, 30%, 40%, 50%, and 60%, the maximum dynamic shear modulus of ELS was 177 MPa, 155 MPa, 111 MPa, 77 MPa, and 69 MPa at 100 kPa, respectively. As the curing age increased, the Gmax increased to 274 MPa, 267 MPa, 230 MPa, 145 MPa, and 123 MPa, with relative increases of 55%, 72%, 108%, 88%, and 80%, respectively. By analyzing the mechanical properties of ELS, students can master the basic skills of resonant column experiments and improve their data processing abilities.

4. Discussion

4.1. Damage Model

Numerous academics have studied the dynamic constitutive model of lightweight soil. Their findings show that under dynamic loading, soil particles shift and reorganize, breaking down the cement structure of the soil as strain increments, which causes the shear modulus (G) to gradually decrease [38,39]. Previous resonance column tests also reveal that the shear modulus (G) of ELS decreases with an increased dynamic shear strain, influenced by varying EPS particle contents, confining pressures, and curing ages. This trend supports the development of a small-strain dynamic shear modulus decay model from a damage perspective [40]. Given that the Gmax of ELS remains constant within the small strain range, the decay of G with an increasing shear strain (γ) is attributed to the internal structural damage of the soil. To create the damage model for G, as shown in Equation (8), damage variable D is introduced.
G = G max 1 D
Equation (8) outlines the attenuation of the minor strain G with increasing γ, reflecting its clear physical significance [41]. From Equation (8), it can be seen that G decreases as D increases, with D gradually rising alongside γ. Theoretically, D = 0 when the soil is intact, and D = 1 when γ increases to a sufficiently large value. However, in reality, due to the range of the small-strain control, D < 1 [42].
The analysis reveals a close relationship between D and γ. Research by Yan [43] and others has shown that D’s damage evolution is well described by the Weibull distribution function. Therefore, as shown in Equation (8), according to reference [42], the Weibull distribution function is added to simulate the decay process of G.
D = 1 exp γ γ 0 m 0
where γ0 and m0 are parameters of the Weibull distribution function.
Finally, by combining Equation (9) with Equation (8), we obtain Equation (10). This equation represents the damage model for the attenuation of G in ELS.
G = G max exp γ γ 0 m 0
The normalization of G provides a better reflection of its decay with increasing γ [44]. Based on resonance column test data, G values for different EPS contents (aE) and confining pressures (P) are normalized as G/Gmax, and the decay curves of G/Gmax are plotted, as shown in Figure 13. Under the same conditions, the confining pressure and EPS particle content typically have little effect on G/Gmax, exhibiting a pattern of gradual initial decay followed by a rapid decline overall. However, G/Gmax under higher confining pressures shows a gentler overall change compared to lower pressures. From a damage perspective, higher confining pressure constrains particle displacement within the soil mass, reducing particle movement and thereby slowing down damage to the ELS structure, resulting in a decrease in the magnitude of G/Gmax. The Hardin–Drnevich model, Ramberg–Osgood model, and Maitin–Davidenkov model are commonly used to describe the constitutive relationship of small-strain dynamic characteristics in soil, the specific form and application range are shown in Table 4. Among these models, the Hardin–Drnevich model has a relatively simple parameter selection in its formula, which reduces complexity [45]. This model is applicable to various soil types, especially in small strain ranges, and has good fitting effects. In resonance column tests, the strain range of the test is usually between 0.001% and 0.1%, and the Hardin–Drnevich model can precisely meet the testing requirements of the resonance column test. Meanwhile, within the small strain range, the dynamic shear modulus of the soil decreases with increasing dynamic shear strain. The Hardin–Drnevich model can effectively describe the attenuation behavior of the soil dynamic shear modulus and express it through a simple formula [46]. The Ramberg–Osgood model is commonly used for high-precision fitting requirements and is more suitable for large strain ranges. The Maitin–Davidenkov model has complex parameter selection, and both models have limitations in their applicability to soil types [47,48,49]. Therefore, the Hardin–Drnevich (H-D) model is employed to explain the attenuation process of G.

4.2. Model Comparison

The H-D model reflects the attenuation of the soil’s G under small strains [50]. This research fits the trial data for both the H-D model and the damage model to examine the differences between the two models and confirm the precision of the damage model.
The expression for the H-D model is shown in Equation (11):
G = G max 1 + γ γ r
where γr is the reference shear strain (%).
Model parameters for both the H-D model and the damage model were derived through fitting calculations and are presented in Table 3.
The experimental data were fitted using Equations (10) and (11), and the fitting results are shown in Figure 14. It demonstrates that the damage model fitting curves of lightweight soil with different EPS particle contents under varying confining pressures exhibit certain similarities with the fitting curves of the H-D model and the experimental data obtained from the resonant column tests. To compare the accuracy of the two models more intuitively, the coefficient of determination R2 was calculated:
R 2 = 1 i = 1 n x i x 2 i = 1 n x i x ¯ i
where xi is the dynamic shear modulus measured from the resonant column test (MPa); x ¯ i is the average value of the dynamic shear modulus measured from the tests (MPa); and x is the dynamic shear modulus obtained from the model calculations (MPa). The closer the coefficient of determination R2 is to one, the higher the accuracy of the model fitting.
Figure 15 shows the coefficient of determination (R2) values for both the damage model and the H-D model. By comparing the R2 values, it was found that the fitting accuracy of the damage model is generally better than that of the H-D model, especially under a confining pressure of 200 kPa, where the R2 of the damage model is mostly above 0.98, while the R2 of the H-D model ranges from 0.94 to 0.97. Therefore, it can be concluded that the damage model better reflects the attenuation law and damage process of the dynamic shear modulus of EPS particles in lightweight soil under small strains compared to the H-D model. Meanwhile, to validate the applicability of the damage model to other materials, the resonant column test data of cement-stabilized silty clay and cement–fly ash-stabilized silty clay under a confining pressure of 50 kPa, as reported by Lang et al. [19], were introduced. The damage model described by Equation (10) demonstrates a certain degree of applicability in characterizing the attenuation law of the dynamic shear modulus at small strains for other materials.

4.3. Analysis of Damage Model Parameters

The conclusion in Section 4.2 is that the damage model has a better effect on characterizing the attenuation of the ELS shear modulus under a small strain. As shown in Table 5, 15 groups of different damage parameters (γ0 and m0) can be obtained under different confining pressures and EPS particle contents. Since the EPS particle content and confining pressure have different influences on the damage model parameters γ0 and m0 in Equation (10), in order to better explore the change rule of γ0 and m0, the relationships between the damage parameter γ0 and EPS particle content and between m and confining pressure are established, as shown in Figure 16 and Figure 17. As can be seen from Figure 16, with the increase in the EPS particle content, parameter a generally shows an increasing trend. The relationship between parameter a and the EPS particle content is expressed in Equation (13):
γ 0 = A 1 exp a E t 1 + y 0
where A1, t1, and y0 are the model parameters and aE is the EPS particle content (%).
Figure 17 shows that as the confining pressure increases, m0 also shows an increasing trend. Their functional relationship is expressed by Equation (14):
m 0 = g P φ
where g and φ are model parameters and P is the confining pressure (kPa).
By substituting Equation (13) and Equation (14) into Equation (10), the damage model considering the EPS particle content and confining pressure can be obtained. In road engineering design, EPS lightweight mixtures are commonly used to improve the soil-bearing capacity and reduce structural load, with the dynamic shear modulus being a crucial parameter. This damage model can predict the dynamic shear modulus of ELS under small strain ranges for different EPS particle contents and confining pressures, providing a theoretical basis for road construction engineering. At the same time, establishing models and comparing them can improve students’ innovation ability. Table 6 shows the advantages and disadvantages of ELS in this study.

4.4. Effectiveness of Teaching Reform

In the teaching of engineering detection experiments, the main purpose is to achieve two objectives. Objective 1 involves using modern testing tools to test the material’s mechanical properties and structural load-bearing properties and obtain effective testing data to establish engineering awareness. Objective 2 is able to apply theoretical and experimental research to analyze detection data, obtain reasonable conclusions, and improve innovation capabilities. According to Equation (15), the achievement degree of each teaching objective (ACOi) can be calculated [20]:
A C O i = j = 1 n S i j × a j 100 × j = 1 n a j b i j
where S i j represents the average score of the jth assessment method for the ith teaching objective on a percentage scale, aj represents the proportion of the jth assessment method, b i j represents the support weight of the jth assessment method for the ith teaching objective, and n represents the total number of assessment methods.
This study used a resonance column test to obtain the dynamic performance of ELS under small strain conditions, and a damage model was established to illustrate the attenuation process of G with a shear strain (γ) of ELS through data analysis. The reform of the testing materials, testing methods, and data processing methods in experimental teaching has fulfilled the teaching goals, and the achievement degree calculation results are shown in Figure 18. The implementation of the experiment teaching reform began in 2020, and the achievement of the teaching objectives over the five years from 2020 to 2024 was higher than 0.7 and increased year by year. It can be seen that diverse experimental materials, advanced testing techniques, and data processing methods can effectively improve students’ learning and innovation abilities.

5. Conclusions

In roadbed filling engineering, EPS particle lightweight soil, as a lightweight filler, possesses the characteristics of low density and high strength, which can effectively reduce the mass of filling materials, thereby stabilizing slopes and mitigating the uneven settlement of soft soil roadbeds. This study employs resonant column tests to investigate the influence of the EPS particle content, confining pressure, and curing age on the small-strain shear modulus (G) of ELS and establishes a damage model to illustrate the attenuation process of G with shear strain (γ). The research results provide theoretical guidance for the application of ELS in soft soil roadbed engineering. The main conclusions are as follows:
(1)
Increasing the EPS particle content reduces the G of ELS. Due to the decreased load-bearing capacity of the internal structure, there is greater relative displacement between the EPS particles. With curing ages of 3, 7, and 28 days and varying confining pressures, Gmax (ranging from 64 MPa to 280 MPa) decreased by 61%, 64%, and 55%, respectively, as the EPS particle content increased. Additionally, the G of ELS decreased with increasing γ across different EPS particle contents.
(2)
Elevating confining pressure boosts the G of ELS. Greater confining pressure restricts the lateral displacement of the soil mass, resulting in higher specimen compression and an increase in G with rising confining pressure. At 3, 7, and 28 days of curing, Gmax increased by 15%, 9%, and 8%, respectively, with increasing confining pressure. Furthermore, the G of ELS decreased with increasing γ across various confining pressures.
(3)
Extended curing ages enhance the G of ELS. As curing ages increase, the hydration reactions of the binding material become more thorough, resulting in an increase in G with longer curing periods. Under confining pressures of 50, 100, and 200 kPa, Gmax increased by 53%, 55%, and 57%, respectively, with extended curing ages. Likewise, the G of ELS decreased with increasing γ under different curing ages.
(4)
The reduction in G of ELS with increasing γ at small strains is fundamentally due to the lightweight soil’s structural deterioration. The damage model, incorporating the damage variable D, effectively reflects the attenuation pattern and damage process of the G of ELS at small strains. The parameter γ0 and EPS particle content are functionally related, with γ0 ranging from 0.14 to 0.43. The parameter m0 and confining pressure are also functionally related, with m0 ranging from 0.64 to 1.48.
This study investigated the dynamic shear modulus of ELS within the small strain range of 10−6 to 10−4 through resonant column tests, considering the effects of different EPS particle contents, confining pressures, and curing ages on the dynamic shear modulus. ELS, a low-density geosynthetic material, effectively reduces building material mass, stabilizes slopes, and alleviates the subgrade settlement of soft soil. It exhibits a high dynamic shear modulus under small strains (10−6–10−4), which improves with increased confining pressure and curing age. However, a higher EPS particle content significantly reduces its dynamic and maximum shear modulus, leading to mechanical property deterioration and structural degradation under shear strain. Additionally, a damage model related to the EPS particle content and confining pressure was established, which effectively describes the attenuation pattern of the dynamic shear modulus of ELS under small strains. However, due to the limitations of the resonant column apparatus, all tested samples were small-sized cylindrical specimens. During the testing process, the boundary effects of the specimens may cause deviations from ideal conditions, potentially influencing the test results. Moreover, the small size of the specimens may not accurately represent the actual dynamic characteristics of the soil.
This experimental study is part of an engineering detection laboratory course. In contrast to the original experimental program, which focused on the mechanical properties of geotechnical materials, this study utilized the resonant column testing system to examine the dynamic properties of EPS lightweight soil. Additionally, a shear model prediction model of ELS was developed. This research introduces innovations in experimental materials, testing methods, and data analysis, offering opportunities to enhance students’ practical skills, broaden their knowledge, and foster their ability to innovate. Furthermore, the detection experiment of this project covers multiple aspects, such as material preparation, performance testing, and experimental result analysis, involving multiple disciplines, such as environmental science, material science, and soil mechanics. In terms of engineering education and methods, it is an effective exploration of the reform of civil engineering experimental teaching and has achieved positive teaching results. Through this experiment, students can not only stimulate their interest in interdisciplinary research but can also significantly improve their engineering experimental skills and innovation abilities. This experiment combines theory with practice in civil engineering experimental teaching, laying a solid foundation for the cultivation of comprehensive applied talents in universities.

Author Contributions

Conceptualization, N.L.; investigation, L.C.; writing—original draft preparation, P.J.; writing—review and editing, X.W. and E.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the First-Class College Course of Zhejiang Province ([2020]77-341, [2020]77-343, [2022]3-652, [2022]3-661), and the College Virtual Simulation Experiment Project of Zhejiang Province ([2021]7-442), China Postdoctoral Science Foundation (Grant No.: 2023M740425) and Zhejiang Provincial Natural Science Foundation of China (Grant No.: LQ24E090005).

Institutional Review Board Statement

Not applicable.

Data Availability Statement

Data are contained within the article.

Conflicts of Interest

The authors declare no conflicts of interest.

Glossary

AbbreviationImplication
EPSExpanded polystyrene
ELSExpanded polystyrene particles in lightweight soil
H-DHardin–Drnevich model
GDynamic shear modulus (MPa)
GmaxMaximum dynamic shear modulus (MPa)
ACOiAchievement degree of each teaching objective
VariablesImplication
PConfining pressure (kPa)
IMoment of inertia of the sample (kg·m2)
mMass (kg)
dOutside diameter (m)
I0Moment of inertia of the resonant column system (kg·m2)
VsShear wave velocity (m/s)
fResonance frequency obtained from the resonant column test (Hz)
HSpecimen’s height (m)
βTorsional vibration frequency equation’s eigenvalue
ρDensity of the specimen (t/m3)
aEEPS particle content (%)
γDynamic shear strain (%)
G-γDynamic shear modulus and dynamic shear-strain relationship
a,bEmpirical constants
τDynamic shear stress (kPa)
DDamage variable
γ0,m0Parameters of Weibull distribution function
γrReference shear strain (%)
R2Correlation coefficient
xiDynamic shear modulus measured from the resonant column test (MPa)
x ¯ i Average value of the dynamic shear modulus measured from the test (MPa)
xDynamic shear modulus obtained from the model calculations (MPa)
A1, t1, y0, g, φModel parameters
TCuring age (d)
VResonance output voltage (Volts)
S i j Average score of the jth assessment method for the ith teaching objective on a percentage scale
ajProportion of the jth assessment method
b i j Support weight of the jth assessment method for the ith teaching objective.
nTotal number of assessment methods

References

  1. Zhang, C.; Zhu, Z.; Zhang, Y.; Liu, F.; Yang, Y.; Wan, Y.; Huo, W.; Yang, L. Engineering properties and optimal design of foam lightweight soil composite fly ash: An eco-friendly subgrade material. J. Clean. Prod. 2023, 429, 139631. [Google Scholar] [CrossRef]
  2. Tao, H.; Zheng, W.; Zhou, X.; Zhang, L.; Li, C.Z.; Yu, Y.; Jiang, P. Study on Dynamic Modulus and Damping Characteristics of Modified Expanded Polystyrene Lightweight Soil under Cyclic Load. Polymers 2023, 15, 1865. [Google Scholar] [CrossRef]
  3. Zhang, L.; Huang, M.; Fenghao, Y.; Zhang, W. A novel hydrophilic modification method of EPS particles: Conception design and performances in concrete. Cem. Concr. Comp. 2023, 142, 105199. [Google Scholar] [CrossRef]
  4. Rashid, A.S.A.; Black, J.A.; Kueh, A.B.H.; Mohamad, H.; Noor, N.M. Bearing capacity charts of soft soil reinforced by deep mixing. Proc. Inst. Civ. Eng. 2017, 170, 12–25. [Google Scholar] [CrossRef]
  5. Zhang, Z.; Li, D.; Wang, J.; Jiang, J. Cascade upcycling polystyrene waste into ethylbenzene over Fe2N@C. Appl. Catal. B Environ. 2023, 323, 122164. [Google Scholar] [CrossRef]
  6. Kiptum, C.K.; Mwirigi, V.M.; Ochieng, S.O. Comparing compressive strengths of layered and random placement of expanded polystyrene wastes in quarry dust blocks. J. Civ. Eng. Sci. Technol. 2020, 11, 57–63. [Google Scholar] [CrossRef]
  7. Castellón, J.; Ledesma, A. Development of a new advanced elastoplastic constitutive model that considers soil behavior at small strains. The EPHYSS Model. Int. J. Numer. Anal. Methods Geomech. 2022, 46, 1991–2032. [Google Scholar] [CrossRef]
  8. Clayton, C.R.I. Stiffness at small strain: Research and practice. Géotechnique 2011, 61, 5–37. [Google Scholar] [CrossRef]
  9. Chen, G.; Yang, C.; Qu, L.; Tong, X.; Zhang, K.; Zhang, L. Shaking table test and numerical analysis of dynamic response and damage mechanism of a deposit slope with a weak interlayer reinforced by a pile–anchor structure. Structures 2024, 59, 105728. [Google Scholar] [CrossRef]
  10. Chowdhury, S.; Patra, N.R. Influence of geogrid reinforcement on dynamic characteristics and response analysis of Panki pond ash. Nat. Hazards 2023, 119, 435–461. [Google Scholar] [CrossRef]
  11. Sun, X.; Qin, X.; Liu, Z.; Yin, Y. Damaging effect of fine grinding treatment on the microstructure of polyurea elastomer modifier used in asphalt binder. Measurement 2024, 242, 115984. [Google Scholar] [CrossRef]
  12. Sun, X.; Xu, H.; Zheng, X.; Qin, X.; Guo, T.; Gao, J. Microscopic effect and mechanism of spray polyurea modifier on the asphalt binder: Experimental characterization and molecular dynamics simulations. Polymer 2024, 316, 127807. [Google Scholar] [CrossRef]
  13. El-Sherbiny, R.; Ramadan, S.H.; Elkhouly, M.A. Dynamic properties of sand-EPS bead mixtures. Geosynth. Int. 2018, 25, 456–470. [Google Scholar] [CrossRef]
  14. Gao, H.; Li, X.; Wang, Z.H.; Stuedlein, A.W.; Wang, Y. Dynamic shear modulus and damping of expanded polystyrene composite soils at low strains. Geosynth. Int. 2019, 26, 436–450. [Google Scholar] [CrossRef]
  15. Alaie, R.; Chenari, R.J. Dynamic properties of EPS-sand mixtures using cyclic triaxial and bender element tests. Geosynth. Int. 2019, 26, 563–579. [Google Scholar] [CrossRef]
  16. Bekranbehesht, B.; Rezvani, R.; Payan, M.; Chenari, R.J. Nondestructive Shear Stiffness Evaluation of EPS-Sand Composites Using Quartz and Calcareous Aggregates. J. Mater. Civ. Eng. 2023, 35, 04023174. [Google Scholar] [CrossRef]
  17. Gao, H.; Bu, C.; Wang, Z.; Shen, Y.; Chen, G. Dynamic characteristics of expanded polystyrene composite soil under traffic loadings considering initial consolidation state. Soil Dyn. Earthq. Eng. 2017, 102, 86–98. [Google Scholar] [CrossRef]
  18. Zhu, L.; Wen, K.; Tong, R.; Li, M. Dynamic Shear Strength Characteristics of Lightweight Sand-EPS Soil. Sustainability 2022, 14, 7397. [Google Scholar] [CrossRef]
  19. Lang, L.; Li, F.; Chen, B. Small-strain dynamic properties of silty clay stabilized by cement and fly ash. Constr. Build. Mater. 2020, 237, 117646. [Google Scholar] [CrossRef]
  20. Li, N.; Jiang, P.; Li, C.; Wang, W. College Teaching Innovation from the Perspective of Sustainable Development: The Construction and Twelve-Year Practice of the 2P3E4R System. Sustainability 2022, 14, 7130. [Google Scholar] [CrossRef]
  21. JTG 3430-2020; Test Methods of Soils for Highway Engineering. Standardization Administration of China: Beijing, China, 2020.
  22. GB/T 50123-2019; Standard for Geotechnical Testing Method. Standardization Administration of China: Beijing, China, 2019.
  23. Li, N.; Pang, Y.; Wang, W.; Wu, E.; Fan, M.; Jiang, P.; Mei, G. Enhancement effect of calcium carbide residue and rice husk ash on soft soil: Small-strain property and micro mechanism. J. Mater. Res. Technol. 2024, 32, 774–791. [Google Scholar] [CrossRef]
  24. Villacreses, J.P.; Caicedo, B.; Caro, S.; Yépez, F. A novel procedure to determine shear dynamic modulus and damping ratio for partial saturated compacted fine-grained soils. Soil Dyn. Earthq. Eng. 2020, 131, 106029. [Google Scholar] [CrossRef]
  25. Liu, Z.; Kim, J.; Hu, G.; Hu, W.; Ning, F. Geomechanical property evolution of hydrate-bearing sediments under dynamic loads: Nonlinear behaviors of modulus and damping ratio. Eng. Geol. 2021, 295, 106427. [Google Scholar] [CrossRef]
  26. Qiu, T.; Huang, Y.; Guadalupe-Torres, Y.; Baxter, C.; Fox, P.J. Effective Soil Density for Small-Strain Shear Waves in Saturated Granular Materials. J. Geotech. Geoenviron. Eng. 2015, 141, 04015036. [Google Scholar] [CrossRef]
  27. Zhang, C.; Li, D.; Wang, C.; Ma, J.; Zhou, A.; Xiao, P. Effect of confining pressure on shear fracture behavior and surface morphology of granite by the short core in compression test. Theor. Appl. Fract. Mech. 2022, 121, 103506. [Google Scholar] [CrossRef]
  28. Zhang, M.; Shen, J.; Yang, R.; Ji, H.; Ding, J. Effect of Curing Age on the Microstructure and Hydration Behavior of Oil Well Cement Paste Cured at High Temperature. J. Mater. Civ. Eng. 2021, 33, 04021006. [Google Scholar] [CrossRef]
  29. Wu, Q.; Xiao, X.; Zhu, E.; Chen, S.; Chen, G.; Du, X. Experimental investigation on dynamic shear modulus of undisturbed marine soils in the east coast of China. Ocean Eng. 2023, 289, 116130. [Google Scholar] [CrossRef]
  30. Feng, Y.; Qin, D.; Chen, Z.; Li, Y. Multiscale Enhancement Mechanisms of EVA on EPS-Cement Composites. J. Mater. Civ. Eng. 2023, 35, 04023102. [Google Scholar] [CrossRef]
  31. Dixit, A.; Pang, S.D.; Kang, S.; Moon, J. Lightweight structural cement composites with expanded polystyrene (EPS) for enhanced thermal insulation. Cem. Concr. Comp. 2019, 102, 185–197. [Google Scholar] [CrossRef]
  32. Gao, Y.; Wang, S.; Chen, C. A united deformation-strength framework for Lightweight Sand–EPS Beads Soil (LSES) under cyclic loading. Soil Dyn. Earthq. Eng. 2011, 31, 1144–1153. [Google Scholar] [CrossRef]
  33. Maghfouri, M.; Alimohammadi, V.; Gupta, R.; Saberian, M.; Azarsa, P.; Shafigh, P.; Asadi, I.; Roychand, R. Drying shrinkage properties of expanded polystyrene (EPS) lightweight aggregate concrete: A review. Case Stud. Constr. Mater. 2022, 16, e919. [Google Scholar] [CrossRef]
  34. Ranjbar, M.M.; Mousavi, S.Y. Strength and durability assessment of self-compacted lightweight concrete containing expanded polystyrene. Mater. Struct. 2013, 48, 1001–1011. [Google Scholar] [CrossRef]
  35. Said, M.; Adam, M.; Arafa, A.E.; Moatasem, A. Improvement of punching shear strength of reinforced lightweight concrete flat slab using different strengthening techniques. J. Build. Eng. 2020, 32, 101749. [Google Scholar] [CrossRef]
  36. Hou, T.; Cui, Y.; Pan, X.; Luo, Y.; Liu, Q. Characteristics of dynamic shear modulus and damping ratio and the structural formula of EPS particles lightweight soil. Soil Dyn. Earthq. Eng. 2023, 166, 107768. [Google Scholar] [CrossRef]
  37. Hardin, B.O.; Drnevich, V.P. Shear modulus and damping in soils: Design equations and curves. J. Soil Mech. Found. Div. 1972, 98, 667–692. [Google Scholar] [CrossRef]
  38. Liao, H.; Fang, Y.; Yao, Z.; Yu, T.; Luo, H.; Zhu, N.; Wang, Y.; Li, M. Effects of fiber and rubber materials on the dynamic mechanical behaviors and damage evolution of shotcrete under cyclic impact load. J. Build. Eng. 2023, 73, 106763. [Google Scholar] [CrossRef]
  39. Zhao, Y.; Yang, Y.; Ling, X.; Gong, W.; Li, G.; Su, L. Dynamic behavior of natural sand soils and fiber reinforced soils in heavy-haul railway embankment under multistage cyclic loading. Transp. Geotech. 2021, 28, 100507. [Google Scholar] [CrossRef]
  40. Zou, Z.; Yan, J.; Tang, H.; Wang, S.; Xiong, C.; Hu, X. A shear constitutive model for describing the full process of the deformation and failure of slip zone soil. Eng. Geol. 2020, 276, 105766. [Google Scholar] [CrossRef]
  41. Zhang, H.; Jin, C.; Wang, L.; Pan, L.; Liu, X.; Ji, S. Research on dynamic splitting damage characteristics and constitutive model of basalt fiber reinforced concrete based on acoustic emission. Constr. Build. Mater. 2022, 319, 126018. [Google Scholar] [CrossRef]
  42. Yan, J.; Kong, L.; Wang, J. Evolution law of small strain shear modulus of expansive soil: From a damage perspective. Eng. Geol. 2023, 315, 107017. [Google Scholar] [CrossRef]
  43. Yan, J.; Zou, Z.; Mu, R.; Hu, X.; Zhang, J.; Zhang, W.; Su, A.; Wang, J.; Luo, T. Evaluating the stability of Outang landslide in the Three Gorges Reservoir area considering the mechanical behavior with large deformation of the slip zone. Nat. Hazards 2022, 112, 2523–2547. [Google Scholar] [CrossRef]
  44. Ueno, K.; Kuroda, S.; Hori, T.; Tatsuoka, F. Elastic shear modulus variations during undrained cyclic loading and subsequent reconsolidation of saturated sandy soil. Soil Dyn. Earthq. Eng. 2019, 116, 476–489. [Google Scholar] [CrossRef]
  45. Fu, J.; Wang, W.; Tianhong, F.; Wang, X.; Wu, H.; Xu, M. Dynamic characteristics and microscopic mechanism of graphene oxide modified coastal soft soil under small strain. Constr. Build. Mater. 2024, 448, 138257. [Google Scholar] [CrossRef]
  46. Hou, T.; Pei, Z.; Luo, Y.; Cui, Y. Study on the Dynamic Constitutive Relationship of EPS particles Light Weight Soil Based on Hardin–Drnevich Model. Geotech. Geol. Eng. 2019, 38, 1785–1798. [Google Scholar] [CrossRef]
  47. Primusz, P.; Tóth, C. Use of the Modified Ramberg-Osgood Material Model to Predict Dynamic Modulus Master Curves of Asphalt Mixtures. Materials 2023, 16, 531. [Google Scholar] [CrossRef] [PubMed]
  48. Ahn, S.; Ryou, J.; Ahn, K.; Lee, C.; Lee, J.; Jung, J. Evaluation of Dynamic Properties of Sodium-Alginate-Reinforced Soil Using A Resonant-Column Test. Materials 2021, 14, 2743. [Google Scholar] [CrossRef] [PubMed]
  49. Wu, Q.; Liu, Q.; Zhuang, H.; Xu, C.; Chen, G. Experimental investigation of dynamic shear modulus of saturated marine coral sand. Ocean Eng. 2022, 264, 112412. [Google Scholar] [CrossRef]
  50. Hang, T.; Fan, H.; Xing, X.; Zhang, L.; Liang, K.; Wu, Q.; Chen, G. Prediction model for small-strain shear modulus of non-plastic fine–coarse-grained soil mixtures based on extreme void ratios. Soil Dyn. Earthq. Eng. 2024, 176, 108279. [Google Scholar] [CrossRef]
Figure 1. Materials: (a) material composition of ELS; (b) soil particle gradation chart.
Figure 1. Materials: (a) material composition of ELS; (b) soil particle gradation chart.
Polymers 17 00730 g001
Figure 2. Specimen-making process.
Figure 2. Specimen-making process.
Polymers 17 00730 g002
Figure 3. Resonant column instrument.
Figure 3. Resonant column instrument.
Polymers 17 00730 g003
Figure 4. Density of ELS at different EPS particle contents and curing ages.
Figure 4. Density of ELS at different EPS particle contents and curing ages.
Polymers 17 00730 g004
Figure 5. Shear wave velocity of ELS at different EPS particle contents, confining pressures, and curing ages.
Figure 5. Shear wave velocity of ELS at different EPS particle contents, confining pressures, and curing ages.
Polymers 17 00730 g005
Figure 6. ELS Gγ relationship curves with different EPS particle contents. (a) Confining pressure = 50 kPa; (b) confining pressure = 100 kPa; and (c) confining pressure = 200 kPa.
Figure 6. ELS Gγ relationship curves with different EPS particle contents. (a) Confining pressure = 50 kPa; (b) confining pressure = 100 kPa; and (c) confining pressure = 200 kPa.
Polymers 17 00730 g006
Figure 7. ELS Gγ relationship curves under different confining pressures. (a) EPS particle content = 20%; (b) EPS particle content = 30%; (c) EPS particle content = 40%; (d) EPS particle content = 50%; and (e) EPS particle content = 60%.
Figure 7. ELS Gγ relationship curves under different confining pressures. (a) EPS particle content = 20%; (b) EPS particle content = 30%; (c) EPS particle content = 40%; (d) EPS particle content = 50%; and (e) EPS particle content = 60%.
Polymers 17 00730 g007aPolymers 17 00730 g007b
Figure 8. ELS Gγ relationship curves at different curing ages. (a) EPS particle content = 20%; (b) EPS particle content = 30%; (c) EPS particle content = 40%; (d) EPS particle content = 50%; and (e) EPS particle content = 60%.
Figure 8. ELS Gγ relationship curves at different curing ages. (a) EPS particle content = 20%; (b) EPS particle content = 30%; (c) EPS particle content = 40%; (d) EPS particle content = 50%; and (e) EPS particle content = 60%.
Polymers 17 00730 g008
Figure 9. Calculation results of ELS Gmax at different curing ages.
Figure 9. Calculation results of ELS Gmax at different curing ages.
Polymers 17 00730 g009
Figure 10. Connection between the EPS particle content and the Gmax of the ELS: (a) 3 d curing age; (b) 7 d curing age; and (c) 28 d curing age.
Figure 10. Connection between the EPS particle content and the Gmax of the ELS: (a) 3 d curing age; (b) 7 d curing age; and (c) 28 d curing age.
Polymers 17 00730 g010
Figure 11. Connection between confining pressure and the Gmax of the ELS: (a) 3 d curing age; (b) 7 d curing age; and (c) 28 d curing age.
Figure 11. Connection between confining pressure and the Gmax of the ELS: (a) 3 d curing age; (b) 7 d curing age; and (c) 28 d curing age.
Polymers 17 00730 g011
Figure 12. The connection between curing age and the Gmax of the ELS. (a) Confining pressure = 50 kPa; (b) confining pressure = 100 kPa; and (c) confining pressure = 200 kPa.
Figure 12. The connection between curing age and the Gmax of the ELS. (a) Confining pressure = 50 kPa; (b) confining pressure = 100 kPa; and (c) confining pressure = 200 kPa.
Polymers 17 00730 g012
Figure 13. Normalized decay curves of G.
Figure 13. Normalized decay curves of G.
Polymers 17 00730 g013
Figure 14. Comparison of experimental data and model results. (a) Confining pressure = 50 kPa; (b) confining pressure = 100 kPa; and (c) confining pressure = 200 kPa.
Figure 14. Comparison of experimental data and model results. (a) Confining pressure = 50 kPa; (b) confining pressure = 100 kPa; and (c) confining pressure = 200 kPa.
Polymers 17 00730 g014
Figure 15. Comparison of the R2 values of the damage model and the H-D model. (a) Confining pressure = 50 kPa; (b) confining pressure = 100 kPa; and (c) confining pressure = 200 kPa.
Figure 15. Comparison of the R2 values of the damage model and the H-D model. (a) Confining pressure = 50 kPa; (b) confining pressure = 100 kPa; and (c) confining pressure = 200 kPa.
Polymers 17 00730 g015
Figure 16. Connection between γ0 and the EPS particle content.
Figure 16. Connection between γ0 and the EPS particle content.
Polymers 17 00730 g016
Figure 17. Relationship between confining pressure and m.
Figure 17. Relationship between confining pressure and m.
Polymers 17 00730 g017
Figure 18. Calculation results of achievement degree of teaching objectives. (a) Achievement degree of teaching objective 1; (b) achievement degree of teaching objective 2.
Figure 18. Calculation results of achievement degree of teaching objectives. (a) Achievement degree of teaching objective 1; (b) achievement degree of teaching objective 2.
Polymers 17 00730 g018
Table 1. Physical and mechanical characteristics of soil.
Table 1. Physical and mechanical characteristics of soil.
Plastic Limit
(%)
Liquid Limit
(%)
Plasticity IndexLiquidity IndexNatural Water Content
(%)
Specific
Gravity
2337140.43292.88
Table 2. Resonance column test program.
Table 2. Resonance column test program.
EPS Particle Content
(%)
Cement
(%)
Sodium Silicate
(%)
Water Content
(%)
Curing Age
(d)
Confining Pressure (kPa)
20, 30, 40, 50, 60206903, 7, 2850, 100, 200
Table 3. Percentage reduction in Gmax under different EPS particle contents.
Table 3. Percentage reduction in Gmax under different EPS particle contents.
Curing Age
(d)
Confining Pressure
(kPa)
EPS Content
(%)
Gmax
(MPa)
Gmax Decline Percentage
(%)
64–17864
3–2850–20020–6079–23867
117–28058
Table 4. Small-strain dynamic constitutive model of soil mass.
Table 4. Small-strain dynamic constitutive model of soil mass.
ModelExpressionStrain RangeApplicable TypeReference Source
Hardin–Drnevich
model
G = G max 1 + γ γ r 0.001–1%Various soil typesFu [45]
Hou [46]
Ramberg–Osgood model G max = τ γ 1 + τ A 1 n 1 0.01–5%Often used on clay and fine-grain soilsPrimusz [47]
Ahn [48]
Maitin–Davidenkov model G = G max 1 u γ v 0.001–10%Complex soil typesWu [49]
Table 5. Model parameter computation results.
Table 5. Model parameter computation results.
Confining PressureEPS Particles Volume Ratio (%)Damage ModelR2H-D ModelR2
γ0 (%)m0γr (%)
200.141390.866590.988960.131420.98649
300.195300.802070.989220.121340.98392
50 kPa400.239460.635870.962940.112120.91764
500.256240.754630.981740.148690.97121
600.425290.644840.952320.195150.90845
200.230670.986930.979560.159030.97718
300.243390.875490.990930.173410.99059
100 kPa400.139851.001010.989680.115350.98450
500.256580.878100.991080.184760.99317
600.410340.765910.980660.239460.97266
200.203651.015470.985880.185510.98536
300.140041.479260.998300.264030.95235
200 kPa400.142901.247640.998070.168940.96993
500.172821.467660.997450.264950.94028
600.291321.146220.984280.305100.96832
Table 6. Advantages and disadvantages of FSCS.
Table 6. Advantages and disadvantages of FSCS.
Advantage① Low density; lightweight; can ease the uneven subgrade settlement of soft soil.
② In the small strain range (10−6–10−4), it has a high dynamic shear modulus; it can also resist shear deformation.
③ Increasing confining pressure and prolonging curing age can significantly increase dynamic shear modulus and enhance mechanical properties.
④ Combining material science, soil mechanics, and environmental protection principles, it has environmental protection significance.
Disadvantage① With the increase in the EPS particle content, the dynamic shear modulus (G) and maximum shear modulus (Gmax) decreased significantly, and the mechanical properties decreased.
② In the small strain range, the dynamic shear modulus (G) decreases with the increase in shear strain (γ), indicating that the structure will gradually degenerate during the stress process.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Jiang, P.; Wu, X.; Chen, L.; Li, N.; Wu, E. Testing Small-Strain Dynamic Characteristics of Expanded Polystyrene Lightweight Soil: Reforming the Teaching of Engineering Detection Experiments. Polymers 2025, 17, 730. https://doi.org/10.3390/polym17060730

AMA Style

Jiang P, Wu X, Chen L, Li N, Wu E. Testing Small-Strain Dynamic Characteristics of Expanded Polystyrene Lightweight Soil: Reforming the Teaching of Engineering Detection Experiments. Polymers. 2025; 17(6):730. https://doi.org/10.3390/polym17060730

Chicago/Turabian Style

Jiang, Ping, Xinghan Wu, Lejie Chen, Na Li, and Erlu Wu. 2025. "Testing Small-Strain Dynamic Characteristics of Expanded Polystyrene Lightweight Soil: Reforming the Teaching of Engineering Detection Experiments" Polymers 17, no. 6: 730. https://doi.org/10.3390/polym17060730

APA Style

Jiang, P., Wu, X., Chen, L., Li, N., & Wu, E. (2025). Testing Small-Strain Dynamic Characteristics of Expanded Polystyrene Lightweight Soil: Reforming the Teaching of Engineering Detection Experiments. Polymers, 17(6), 730. https://doi.org/10.3390/polym17060730

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop