Study on the Static Characteristics of Lignin-Fiber-Reinforced Sand
Abstract
1. Introduction
2. Overview of the Test
2.1. Test Equipment and Materials
2.2. Specimen Preparation
2.3. Pilot Program
2.3.1. Consolidation and Rebound Tests
2.3.2. Triaxial Compression Test
3. Analysis of Test Results
3.1. Consolidation Compression and Resilience Modulus Tests
3.1.1. Effect of Lignin Fiber Dosing on Compression and Resilience Curves
3.1.2. Effect of Fibre Dosage on Compression and Resilience Indicators
3.2. Triaxial Compression Test Results
3.2.1. Effect of FC on Stress–Strain Characteristics
3.2.2. Effect of Circumferential Pressure on Stress–Strain
3.2.3. Effect of Fibre Doping on Volumetric Strain
3.2.4. Effect of FC on Strength Indicators
4. Modification of the Duncan Chang Model
5. Conclusions
- (1)
- The incorporation of fibers increases the compressibility and rebound amount of sandy soil. The higher the fiber content, the more compressible the soil and the more pronounced the rebound. Water immersion has a certain deteriorating effect on compression and rebound, but increasing the fiber content can effectively weaken this effect.
- (2)
- Under a given confining pressure, the fiber content significantly affects the shape of the stress–strain curve of sandy soil. As the confining pressure increases, the curves for all fiber contents gradually transition from strain softening to strain hardening.
- (3)
- The cohesion increases continuously with increasing fiber content, while the internal friction angle first increases and then decreases. The enhancing effect of fibers on cohesion is significantly better than their influence on the internal friction angle.
- (4)
- The peak strength is positively correlated with both fiber content and confining pressure. It increases significantly with higher confining pressure, and also improves with increasing fiber content under high confining pressure. Overall, the effect of confining pressure on peak strength is more pronounced.
- (5)
- The modified Duncan–Chang model proposed in this paper introduces the peak strain ε1f and the initial elastic modulus E0, establishing a dynamic parameter system that couples fiber content and confining pressure. This model effectively captures the strain-softening behavior of sand reinforced with lignin fiber and demonstrates good agreement with the measured data.
- (6)
- In water conservancy projects in western China, when lignin fiber is used to reinforce poorly graded fine sand, the fiber content should be controlled within 1% to 2%, which can achieve a balance between strength enhancement and deformation control. As a recycled solid waste material, lignin fiber is both environmentally friendly and economical, offering a feasible technical solution for the reinforcement of sandy soil foundations.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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| Reference | Research Content | Research Methods | Core Contributions | Main Limitations |
|---|---|---|---|---|
| Diambra et al., 2013 [21] | A macro-scale constitutive model for fiber-reinforced sand | Volumetric averaging approach based on triaxial test results, superimposing contributions of sand and fibers | Developed a constitutive model accounting for fiber content, orientation, slip/pull-out, and effects on sand relative density. | Complex model with many parameters, limiting engineering applicability; validation limited to triaxial compression and extension. |
| Soltani et al., 2018 [26] | Swell-compression characteristics of fiber-reinforced expansive soil | Oedometer swell-compression tests with varying fiber type, content, and aspect ratio | Found that tape-shaped fibers effectively mitigate swelling and shrinkage; fiber content has greater effect than aspect ratio; wider fibers are more efficient; proposed a hyperbolic model to simulate swell-compression behavior. | Did not investigate wetting-drying cycles on long-term performance; model parameters are specific to the fibers and soil used. |
| Peng et al., 2019 [15] | Influence of freeze–thaw cycles on mechanical properties and Duncan-Chang model parameters of saline soil | Unconsolidated undrained triaxial tests on remolded samples with different salt contents and freeze–thaw cycles | Established a modified Duncan-Chang model considering freeze–thaw cycles; provided regression formulas for model parameters. | Model does not account for effect of freeze–thaw cycles on Poisson’s ratio; tests were on remolded soil, which may differ from undisturbed soil. |
| Abbaspour & Narani et al., 2020 [20] | Static and dynamic behavior of sandy subgrade reinforced with waste tire textile fibers | High-cycle cyclic loading triaxial tests with varying fiber contents | Investigated permanent strain, resilient modulus, energy dissipation, and damping ratio of WTTF-reinforced soil; classified materials based on shakedown theory (0–2% plastic shakedown, 3–4% plastic creep); resilient modulus increased by 744% at 2% fiber content; proposed prediction models for permanent strain and resilient modulus. | Tests used only one loading waveform and stress level; cyclic degradation of fiber–soil interface not thoroughly investigated; reinforcement effect weakens when fiber content exceeds 2%. |
| Jia et al., 2020 [28] | Modified Duncan-Chang model for modeling supported excavations in granular soils | Consolidated drained triaxial tests with varying relative density and confining pressure; proposed a novel disturbance function based on disturbed state concept | Modified the Duncan-Chang model to account for relative density effects on parameters K and M; outperformed Mohr-Coulomb model in numerical simulations of excavation problems. | Validation limited to a specific sand; disturbance function is empirical and requires further verification. |
| Yi & Du, 2020 [27] | Shear properties of geosynthetic-reinforced tailings | Triaxial compression tests with varying reinforcement layers (geogrid/geotextile) | Revealed that the number of reinforcement layers affects stress–strain curve shape (hardening/softening); proposed that “pseudo-cohesion” increases linearly with the number of reinforcement layers. | Did not consider evolution of interface characteristics between reinforcement and tailings during loading; tests were undrained, which may not reflect all field conditions. |
| Zhao et al., 2020 [16] | Polypropylene fiber-reinforced sand | Triaxial test, Duncan-Chang model | Proposed a method for determining model parameters. | Used synthetic fibers, natural fibers were not considered. |
| Kumar et al., 2021 [29] | Static and dynamic characterization of fiber-reinforced sand using numerical simulation | FLAC3D numerical simulations with randomly distributed fiber elements | Successfully obtained elastic modulus, shear modulus, and damping ratio through numerical simulation of static and dynamic triaxial tests; analyzed the effect of fiber content. | Fiber-soil interface parameters were based on simplified assumptions without experimental calibration; fiber bending and torsion were not considered. |
| Salih et al., 2021 [23] | Mechanical properties of soil bricks reinforced with chicken feather and sugarcane bagasse fibers | Compressive and flexural strength tests on cubic and prismatic specimens at different fiber contents and curing ages | Determined optimal fiber content (7% for CFF, 5% for SBF) and length (15 mm); established a stress–strain constitutive model. | Fibers are susceptible to long-term degradation, affecting brick durability; proposed model has limited applicability period. |
| Shen et al., 2021 [32] | Strength characteristics of fiber-reinforced clayey soil treated with lime or cement | Consolidated undrained triaxial and unconfined compressive strength tests on untreated, lime-treated, and cement-treated soil with varying fiber content | Revealed the combined reinforcement effect of fibers and lime/cement; demonstrated that fibers can improve the brittle failure mode of lime/cement-treated soil. | Limited to one fiber type (polyester) and specific stabilizer contents; micro-mechanisms were not analyzed in depth. |
| Zhao et al., 2021 [25] | Dynamic behavior of natural and fiber-reinforced soils in heavy-haul railway embankments | Dynamic triaxial tests with varying water content, compaction degree, fiber content, length, and confining pressure | Developed empirical formulas for predicting maximum dynamic shear modulus, ultimate shear stress, and damping ratio. | Empirical formulas have limited applicability; evolution of fiber-soil interface under cyclic loading was not thoroughly studied. |
| Moslemi et al., 2022 [34] | Lignocellulosic fiber-reinforced sandy soil | Consolidated undrained triaxial tests with microstructural analyses, varying fiber type, content, length, and curing time | Found that fibers with higher pure cellulose content provide better reinforcement; revealed that reinforcement primarily enhances effective cohesion through physical mechanisms (interfacial friction). | Fibers are susceptible to biodegradation, affecting long-term performance; durability was not evaluated. |
| Lu et al., 2022 [33] | Mechanical and hydraulic behavior of fiber-reinforced cemented soil with fly ash | Consolidated undrained triaxial and permeability tests on composites with different binder combinations (cement, fly ash, sisal fiber) | Systematically compared the mechanical and hydraulic properties of four composite materials; found that the combination of fly ash and sisal fiber significantly increased peak strength. | Limited to one soil and fiber type; long-term fiber durability and environmental impacts were not considered. |
| Tang et al., 2022 [30] | Duncan-Chang model considering thixotropy of Zhanjiang Formation clay | Consolidated drained triaxial tests with varying resting times | Established quantitative relationships between curing time and strength parameters (cohesion, friction angle) as well as initial tangent modulus; integrated these into the Duncan-Chang model to propose a thixotropic constitutive model. | Model involves numerous parameters, making calibration complex; explanation of thixotropic mechanism is primarily macroscopic. |
| Kannan & Sujatha, 2023 [31] | Nano-silica and banana fiber-reinforced organic silt | Unconfined compressive strength and hydraulic conductivity tests | Demonstrated that nano-silica enhances the strength of fiber-reinforced soil, while fibers mitigate the brittle failure induced by nano-silica; revealed the composite reinforcement mechanism. | Triaxial tests were not conducted; dispersion and uniformity of nano-silica are difficult to control, affecting result stability. |
| Yang et al., 2023 [18] | Coir fiber-reinforced laterite | Triaxial test, Modified Duncan-Chang model | Improved the fitting accuracy of the stress–strain relationship of laterite. | Focused on clay and is not applicable to poorly graded fine sand. |
| Zafar et al., 2024 [22] | A review of soil stabilization using natural and synthetic fibers | Literature review | Systematically reviewed the effects of various natural and synthetic fibers on the mechanical properties (CBR, UCS, etc.) of expansive soils and fly ash-stabilized soils. | Review paper without new experimental data; discussion on reinforcement mechanisms and long-term performance is not in-depth. |
| He et al., 2024 [17] | Lime-modified dispersive soil | Triaxial test, Age-modified model | Enables prediction of the long-term mechanical properties of soil. | Chemical stabilization was adopted, without addressing the reinforcement mechanism of natural fibers. |
| Shu et al., 2024 [24] | MICP synergistic fiber reinforcement for sand stabilization | Literature review | Systematically summarized the mechanisms of eight fiber types in MICP-treated sand; pointed out that the two-step injection method improves calcium carbonate distribution uniformity; fiber content has a greater effect on UCS than fiber length; fiber type has a greater effect than fiber length. | Review paper without new experimental data; did not cover all fiber types; limited analysis of practical applications. |
| Song et al., 2025 [35] | Dynamic characteristics of lignin fiber-reinforced sand | Dynamic triaxial test | Revealed the evolution patterns of dynamic elastic modulus and damping ratio. | Only dynamic characteristics were investigated, while compression, rebound, and static constitutive behavior were not examined. |
| This study | Static characteristics of lignin fiber-reinforced poorly graded fine sand | Triaxial test, Compression-rebound test, Duncan-Chang model | Revealing the coupled effects of dry/saturated state, fiber content, and confining pressure; Proposing a modified model adapted to the softening-hardening transition | - |
| Average Particle Size D50/mm | Coefficient of Inhomogeneity Cu | Curvature Factor Cc | Specific Gravity of Soil Gs | Maximum Dry Density ρdmax (g/cm3) | Minimum Dry Density ρdmin (g/cm3) | Relative Density Dr |
|---|---|---|---|---|---|---|
| 0.124 | 4.46 | 2.35 | 2.69 | 1.78 | 1.32 | 0.8 |
| Density (g/cm3) | Average Diameter (mm) | Length (mm) | Aspect Ratio / | Tensile Strength (MPa) | Modulus of Elasticity (GPa) |
|---|---|---|---|---|---|
| 1.32 | 0.02 | 1–3 | 0.0067–0.02 | 220 | 20 |
| Test Category | Fibre Content FC/% | Vertical Pressure P/kPa |
|---|---|---|
| Compression test | 0, 0.5, 1, 2, 3, 5 | 25, 50, 100, 200, 400, 800 |
| Rebound test | 800, 400, 200, 100, 50, 25 |
| Test Group Number | Fibre Content FC/% | Confinement σ3/kPa |
|---|---|---|
| 1 | 0 | 100, 200, 300 |
| 2 | 0.5 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 5 |
| FC/% | σ3/kPa | m/(10−3 kPa) | n/(10−3 kPa) | l/(10−5 kPa) |
|---|---|---|---|---|
| 0 | 100 | 3.189 | 2.055 | 9.569 |
| 200 | 1.478 | 1.118 | 3.470 | |
| 300 | 1.152 | 0.758 | 2.090 | |
| 0.5 | 100 | 2.958 | 1.258 | 16.200 |
| 200 | 1.806 | 0.835 | 4.920 | |
| 300 | 1.296 | 0.768 | 1.810 | |
| 1 | 100 | 1.917 | 1.733 | 11.200 |
| 200 | 0.908 | 0.944 | 4.400 | |
| 300 | 1.597 | 0.645 | 2.440 | |
| 2 | 100 | 3.047 | 1.527 | 10.300 |
| 200 | 1.270 | 0.920 | 2.917 | |
| 300 | 1.282 | 0.755 | 1.040 | |
| 3 | 100 | 3.933 | 1.474 | 7.620 |
| 200 | 1.580 | 0.570 | 6.120 | |
| 300 | 1.383 | 0.657 | 1.570 | |
| 5 | 100 | 2.509 | 1.191 | 9.780 |
| 200 | 1.897 | 0.831 | 2.860 | |
| 300 | 1.387 | 0.696 | 0.797 |
| Model Type | Mean Determination Coefficient | Root Mean Square Error (kPa) | Mean Absolute Error (kPa) |
|---|---|---|---|
| Traditional Duncan–Chang model | 0.887 | 18.62 | 14.25 |
| Early Fiber-Reinforced Soil Improvement Model | 0.924 | 12.37 | 9.71 |
| Correcting the Duncan–Chang model | 0.986 | 3.15 | 2.48 |
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Share and Cite
Yang, H.; Ai, Y.; Song, Y.; Yang, K.; Chen, C.; Zou, G. Study on the Static Characteristics of Lignin-Fiber-Reinforced Sand. Buildings 2026, 16, 1532. https://doi.org/10.3390/buildings16081532
Yang H, Ai Y, Song Y, Yang K, Chen C, Zou G. Study on the Static Characteristics of Lignin-Fiber-Reinforced Sand. Buildings. 2026; 16(8):1532. https://doi.org/10.3390/buildings16081532
Chicago/Turabian StyleYang, Haihua, Yongde Ai, Youjian Song, Ke Yang, Chaohong Chen, and Guanping Zou. 2026. "Study on the Static Characteristics of Lignin-Fiber-Reinforced Sand" Buildings 16, no. 8: 1532. https://doi.org/10.3390/buildings16081532
APA StyleYang, H., Ai, Y., Song, Y., Yang, K., Chen, C., & Zou, G. (2026). Study on the Static Characteristics of Lignin-Fiber-Reinforced Sand. Buildings, 16(8), 1532. https://doi.org/10.3390/buildings16081532
