1. Introduction
The embankment is the last line of defence against flooding and is a key part of China’s flood control infrastructure. According to statistical data, by the end of 2022, a total of 330,600 km of grade 5 embankments and above had been constructed across the country, protecting 682 million people and 629 million mu of cultivated land. However, the majority of embankment projects were constructed in the early years of the People’s Republic of China. The limitations imposed by the prevailing level of construction technology, in addition to more than half a century passing, have resulted in embankment projects experiencing a succession of potential hazards [
1,
2]. Given that the country has experienced some of the world’s most severe flooding, it is crucial to understand the mechanisms and progression of dike breaches. This knowledge is essential for effectively implementing dike engineering measures to mitigate the impact of such disasters [
3,
4].
Researchers at home and abroad have conducted systematic research into the mechanisms of embankment bursts and disaster prevention and control, achieving significant theoretical and technical progress [
5]. In the context of engineering practice and physical problem analysis, integrating numerical calculations with visual representations has been shown to be a highly effective approach [
6]. In numerical simulation, Wang et al. utilised a two-digit model to study the evolution process of a dam-break flood in a specific area [
7]. The inundation data acquired during the progression of the dam-break flood were analyzed. Salamtalab et al. proposed a numerical model based on the shallow water equations [
8]. A two-dimensional finite element framework was used to solve the problem, and an enhanced approximate HLLC Riemann solver was implemented to accurately treat the discontinuity in the water flow during the dam-break process. Qiu et al. constructed a coupling model of fluid dynamics and the discrete element method to accurately simulate the coupled motion characteristics of fluid and particle phases in a dam-break flood [
9]. A variety of typical flood evolution modes were observed as a result. Akgun et al. utilised Flow 3D Hydro software (Flow3D Version 10.0) to conduct 2D and 3D simulations of dam breakage [
10]. They then made a systematic comparison between the two models in terms of their differences and the applicability of each model in simulating the evolution of dam break flow. Aiming et al. used the Volume of Fluid (VOF) method to carry out a three-dimensional numerical simulation of a dam break [
11]. This provided support for the quantitative analysis, prevention, and control of dam break disasters. With the rapid development of artificial intelligence, researchers have also developed a series of numerical models to study dam-break flow in more depth [
12]. Seyedashraf et al. employed machine learning techniques to model and analyze the hydrodynamic behavior of dam-break flows, including variations in water level and shock wave propagation [
13,
14]. Additionally, Vosoughi et al. and Nguyen et al. employed neural network learning to predict the water level in dam-break flows and gain insight into their characteristics [
15,
16].
Despite considerable progress in recent years in the numerical simulation of dike bursts, such methods rely on specific theoretical frameworks, such as shallow water equations and continuum mechanics theory, or simplified assumptions, such as ignoring microscopic particle migration and the effects of unsaturated seepage on the dam [
17,
18]. The reliability of the results must be verified by physical tests, which cannot replace the fundamental role of physical testing in revealing the burst mechanism in depth. Due to the scarcity and sparseness of field data on historical events, and the high level of uncertainty associated with it, laboratory testing of dam-break flow is widely considered a valuable benchmark for verifying numerical models [
19]. In the field of physical experimentation, Lu et al. [
20] monitored surface and internal deformation fields throughout the entire process of water storage, operation, and overtopping failure in homogeneous earthen dams using indoor small-scale model tests. They revealed the temporal patterns of displacement changes, providing theoretical support for failure mechanisms. Chen et al. [
21] simulated induced breaches in natural dams through 64 flume tests, analyzing the effects of dam material permeability and riverbed type on breach patterns and downstream landforms. Yang et al. [
22] investigated the influence of sand content in bimodal materials on the breach process and downstream landforms for landslide dams with erodible beds through eight flume tests, proposing a new breach pattern. Their research focused on heterogeneous bimodal material landslide dams, with sand content as the core variable, emphasizing downstream landform evolution. In contrast, this study centers on homogeneous earthen dams, examining how operational parameters influence breach morphology and velocity evolution. Gao et al. [
23], based on 1:100 large-scale model tests and FLOW-3D simulations, revealed the seepage failure mode (flowing soil) and saturated-line variation patterns of tailings dams under flood conditions, quantifying the downstream inundation extent and flow velocity distribution post-breach. Wang et al. [
24] deduced an approximate analytical solution by considering the friction effect of levee break flow in a horizontal triangular channel through indoor physical experiments. This revealed how river channel morphology regulates the motion characteristics of the break front. Xu et al. [
25] conducted a systematic analysis of the landslide dam failure mechanism. This was achieved by carrying out multiple sets of laboratory tests, which made it possible to quantify the strength of the various influencing factors.
However, existing physical model experiments (e.g., Chen, Yang, Gao, Xu et al.) have focused on heterogeneous natural dams, landslide dams, and tailings dams, without delving into failure modes beneath homogeneous earth dams. While Lu et al. did not consider overtopping failure beneath homogeneous dams, their considerations primarily centered on the influence of deformation factors. In a comprehensive comparison, none of the physical experiments systematically designed external factors such as water level, dam height, or inflow rate as core independent variables. Instead, they primarily emphasized intrinsic factors like material properties, structural types, and deformation fields.
In light of the above research deficiencies, this paper adopts physical model testing as its core methodological approach. Data is collected using high-precision test instruments, including a pore water pressure gauge and an earth pressure sensor. Comparative analyses are conducted on the vertical expansion rate of the breach, velocity distribution in the breach section, dynamic changes in the earth pressure of the dam body, and the response law of pore water pressure under different embankment heights, initial water levels, and inflow conditions. Furthermore, the dynamic response mechanism of each control factor throughout the levee breach initiation, development and stability process is systematically explored. Combining the test results with the internal mechanism of a dike breach provides a comprehensive understanding of the underlying processes. This serves as the theoretical basis for the design of pre-disaster prevention and control measures in dike projects. Additionally, it provides technical support for formulating emergency response plans in the event of a breach disaster.
2. Test Model and Methodology
2.1. Prototype Background
The experiment uses the Changkai Embankment in Fuzhou City, Jiangxi Province, as its prototype. The Changkai Embankment spans 81.8 km, with an average embankment height of 5.5 m, an average elevation of 38.54 m, and a crest width of 10 m. It protects a total area of 100 square kilometers, encompassing 140,000 mu of farmland and a permanent population of approximately 145,000 within its protected zone. On 21 June 2010, the Changkai Embankment was struck by a once-in-50-year torrential downpour. Sustained heavy rainfall caused a breach in the embankment section between Pile Number. 32 + 923 and Pile Number. 33 + 270. Initially measured at 60 m wide when formed on the 21st, the breach rapidly widened laterally due to continuous water erosion and embankment soil collapse, expanding to 348 m by the 22nd. After days of preparatory work and implementation, the breach was successfully closed and sealed at 18:00 on the 27th. The breach affected an area of 85.5 km2, with the deepest inundation reaching 34.54 m. The total reservoir capacity was approximately 296 million cubic meters. Nearly 100,000 affected residents were forced to evacuate, resulting in severe economic losses and widespread social impact.
The analysis posits that three principal factors have been instrumental in causing the breach to occur. Firstly, the flood is no longer a matter of historical significance. Subsequent to the main flood season, there has been a continuous historical rare heavy rainfall in the city, resulting in a rapid rise in the water level of the Fuhe River. The high precipitation levels and the consequent saturation of the soil in the early stage are indicative of the substantial water content of the soil. In the subsequent stage, the precipitation primarily results in runoff. The occurrence of heavy rainfall resulted in a flood of unprecedented magnitude in the Fuhe River Basin, with the flood frequency attaining a 50-year milestone. However, the current flood control standard of the Changkai embankment is less than once in 20 years, and it is difficult to resist the super-standard flood. Secondly, the soil quality of the embankment foundation is poor. The embankment body at the breach of the dam is composed of fine sand, while the embankment foundation consists of a sand and gravel layer. The structure is characterised by a single, highly permeable component. Due to the early commencement of the flood season, the water level has been consistently high, resulting in the long-term immersion of the embankment, thereby causing its softening. Thirdly, the location of the dam breach corresponds to the point of head-on impact. The breach embankment section is located on the concave bank of the confluence of the dry port and the main stream of the Fuhe River. Following the confluence, the mainstream of the Fuhe River directly impacts the embankment toe, thereby causing the underwater bank toe to be emptied and steepened. The slope of the embankment toe is characterised by softness and saturation, and the shear strength is found to be low. It is evident that structures may be susceptible to collapse when subjected to the forces of elutriation resulting from elevated water levels and wind waves.
2.2. Test Equipment and Materials
The experiment was conducted within the glass tank of the Water Conservancy Experimental Center of Nanchang University. The glass tank utilised in the experiment had dimensions of 3 m in length, 0.5 m in width, and 0.5 m in height. The component parts of the system under consideration are as follows: firstly, a water storage tank; secondly, a river channel section; thirdly, a breach; fourthly, a water outlet section; and fifthly, a baffle. The river section measures approximately 0.5 m in length, with its width varying according to different test conditions. The experimental glass sink is presented in
Figure 1.
The primary function of this test is to simulate the process of embankment failure. In order to ensure that the internal friction coefficient of the sediment particles utilised in the test is comparable to that of the prototype particles, the test soil materials are configured in accordance with the particle gradation of the soil samples obtained from the Changkai embankment. The soil material with a maximum particle size of 20 mm and a median particle size of d50 = 0.75 mm is selected for the construction of the main particles of the test embankment. As shown in
Figure 2, the gradation curve is analogous to the soil composition observed at the Changkai embankment site.
2.3. Test Scheme and Similarity Design
In this experiment, one side of the transparent glass trough is employed as the river channel, and the water level is elevated by the baffle. The location and size of the embankment are arranged under different test conditions, and the DV camera, positioned parallel to the glass trough, is set up for video recording for subsequent conclusion analysis. Following the conclusion of the arrangement process, the test is initiated. The water level on one side of the river channel is elevated by the baffle, and the water level is measured using the transparent measurement sticker. At the designated water level for each operational condition, the inflow is gradually introduced, and the velocity data at the breach is measured using a velocity meter that has been installed in advance. Subsequent to the test, a video recording is utilised for comprehensive analysis.
The model and the prototype demonstrate geometric and gravitational similarity. In accordance with the prevailing parameters of this experiment, the horizontal geometric scale has been designated as 1:100. As the embankment height is employed as a variable, there are divergent scales, as shown in
Table 1.
The reliability of the conclusion of this test is confirmed by the actual measurement and analysis of the data. The parameters that were measured during the course of this experiment included the shape of the breach, the flow velocity, and the water level. The following instruments are utilised: The LGY-III multifunctional intelligent flow meter and DV camera.
This study employs the Sony HDR-CX450 as the video capture device and the LGY-III multifunctional intelligent flow velocity meter as the flow velocity acquisition device. The DV camera is positioned on the side parallel to the glass flume and on the downstream side to accurately capture details during embankment overtopping and failure. Its sensor size is 1/5.8 inches; it supports 30× optical zoom, enabling detailed capture of dam failure events; Supporting 2.01–3.00 megapixels.
The LGY-III multifunctional intelligent flow velocity meter (Φ15 mm) represents an advanced, practical technology widely adopted in the water conservancy industry for scenarios such as hydraulic model testing. It meets the multi-point flow velocity monitoring requirements of this study, with a measurement range of 1–300 cm/s (covering the flow velocity range in this study); Start-up velocity: ≤1 cm/s (enables precise capture of low-velocity operational data); Sampling interval: Freely adjustable from 1 to 99 s (set to 1 s for this study); Velocity calculation model: Utilizes the standard propeller-type velocity calculation formula.
where
C represents the measured flow velocity,
K denotes the flow sensor calibration coefficient,
T indicates the set sampling time;
N represents the propeller rotation speed during the sampling period; where
K = 2.88 in this test; and
C signifies the correction factor,
C = 1.00. The instrument is positioned as shown in
Figure 3.
In this experiment, the influence of dam elevation, river water level and inflow rate on levee breach is analysed under the condition of the same top width. This analysis is based on data regarding breach shape, water level and flow rate. The results of this analysis will deepen our understanding of the mechanism of levee breach, and facilitate the prevention of such breaches, thus avoiding loss of human and financial resources. The exploration of the mechanism of the breach is also beneficial in terms of the subsequent rescue operation, with the aim of minimising any loss. The experiment comprises a treatment group and six additional groups, thus yielding a total of seven distinct test conditions. The soil samples utilised in the test were obtained from the soil of a nearby embankment site. The specific test conditions are delineated in
Table 2.
4. Discussion
The breach process mechanism is explored through the analysis of multiple breach test sets, with particular reference to breach morphology characteristics and flow velocity data. The seven groups of test conditions have been categorised into three distinct stages: vertical erosion (stage I), breach expansion (stage II) and breach stability (stage III). Stage II is the primary stage of breach development and sees significant changes in velocity and widening velocity. As shown in
Figure 11.
4.1. Vertical Erosion Stage (Stage I)
After the test commenced, the inflow rate into the reservoir reached the river water level, causing water to overflow the crest of the embankment. As the inflow rate continued to increase, the water flowed toward the downstream side. The overflowing water eroded the sediment at the weak points of the embankment, forming cracks that became the initial breach. As inflow volume into the channel continued to rise, the water eroded a narrow scour channel on the downstream face of the embankment. At this stage, the flow velocity was too low to cause extensive scouring and rapid breach expansion. Increased moisture content in the sediment enhanced inter-particle friction, making it easier for water to dislodge particles—laying the groundwork for Phase II. At this stage, flow velocity and sediment friction mutually constrain each other, each increasing as the other decreases. As particle friction diminishes while inflow volume continuously rises, flow velocity gradually increases, enhancing the traction effect on sediment at the contact surface. Consequently, the breach develops downward. During this phase, the breach progresses slowly, with sediment being entrained by the flow and forming fan-shaped deposits on the leeward side, primarily manifesting as vertical erosion. Field observations indicate that during the breach of the Changkai embankment, a funnel-shaped breach first formed on the outer side, accompanied by multiple cracks on the inner side. Subsequently, the upstream slope collapsed, causing the entire embankment to slide downward by 4–5 m. The slid embankment was rapidly overtopped by the flow. This period represents the optimal window for breach closure. At this stage, a stable flow channel has not yet formed, the breach exhibits a “V”-shaped cross-section, erosion transitions from particle detachment to channelized cutting, and the breach rate gradually accelerates. Protective measures for this stage include constructing a temporary water-retaining embankment upstream of the breach. Simultaneously, filling the breach channel with reinforced cages containing embedded boulders, reinforced with sandbags, can slow channel erosion rates within 1–2 h. This buys time for subsequent permanent closure. Missing this window increases closure difficulty once the breach enters the expansion stage.
4.2. Breach Expansion Stage (Stage II)
As the breach widens, both flow rate and velocity at the breach site increase, accelerating scouring and deepening the scour channel. At this stage, the breach transitions from primarily vertical erosion to lateral erosion. As water scours the soil on both sides of the breach and permeates through the soil, the initial phase resembles Stage I. However, as the depth increases and gravitational forces on the soil intensify, the soil on both sides becomes unstable and collapses downward. rapidly widening the breach. Once the breach widens, a large volume of water from the river channel surges into it, further widening and deepening the breach, accelerating the breaching process. As massive discharge flows through the breach, the river channel water level drops rapidly. The discharge volume far exceeds the inflow, causing peak flow velocity. The downstream face of the embankment sustains continuous impact, washing away all sediment deposited during Stage I and soil collapsed from the breach. Only when flow velocity and volume gradually decrease does breach development slow, forming a wide and deep breach morphology. This phase represents the breach expansion stage, the second phase of embankment failure. In the original embankment, this period constituted the breach outbreak phase, where the breach widened to 60 m within just 30 min. The flowing water scoured and entrained massive amounts of sediment, causing severe embankment damage, localized collapses, and pronounced, violent destruction. Given the characteristics of this stage, effective sealing of the breached dam body is not feasible. Engineering efforts should focus on personnel evacuation and disaster loss mitigation. Methods such as downstream channel diversion and reservoir peak-shaving operations can be employed to reduce inflow volume, slow the rate of breach expansion, and lower flood peak levels.
4.3. Breach Stabilization Stage (Stage III)
The third stage of breach development is the stabilization stage. During this phase, the breach morphology stabilizes, with both vertical and lateral expansion ceasing, representing the final breach configuration. At this point, the lowered water level within the channel reduces the water level difference between the upstream and downstream sides of the embankment. The hydrodynamic forces become insufficient to sustain flow velocity and widen the breach further. With flow velocity slowing below the critical velocity for the embankment material tested, extensive sediment deposition occurs behind the embankment. This deposition provides feedback support to the embankment structure. By the final stage of breach, flow rates at the breach nearly equalize with inflow rates until the breach process concludes. Flow velocity at the breach gradually approaches zero. The embankment reaches a state of dynamic equilibrium, marking the complete termination of the breach process and full stabilization of the breach morphology. In the prototype scenario, the breach at Changkai Embankment widened to 347 m and formed a scour pit over 4 m deep. The flow cross-section stabilized, the breach ceased expanding, and its shape approximated a trapezoid. The discharge rate gradually decreased, marking the tail-end phase of the breach where destructive forces weakened. This represents a critical window for post-breach remediation. Reinforcement should be applied based on the breach morphology, with structural optimization in vulnerable areas—such as installing drainage channels to reduce seepage pressure and deploying sufficient sensors for real-time monitoring.
4.4. Engineering Significance
The breached section of the Changkai Embankment was primarily filled with fine silt, exhibiting poor construction quality and inadequate seepage resistance. Prolonged rainfall saturated the embankment soil, reducing its shear strength. Consequently, the Embankment proved unable to withstand the assault of a flood exceeding historical records, leading to the breach. Conducting physical model tests based on this incident not only recreates the core mechanical mechanisms of embankment breaches and replicates the evolutionary patterns during critical stages but also provides robust, actionable scientific evidence for emergency assessments, risk classification, and response decision-making following similar embankment failures. Simultaneously, it offers targeted, safe, and implementable technical guidance for formulating on-site disaster response plans, selecting appropriate technologies, and optimizing operations. This constitutes a crucial technical foundation for enhancing emergency response capabilities and improving disaster prevention and mitigation effectiveness in the event of embankment breaches.
5. Restrictions
This study employed physical model experiments to reveal the influence patterns of water level, embankment height, and inflow discharge on the failure process of earth-rock dams. However, the applicability of its conclusions is constrained by experimental design and objective conditions, presenting the following key limitations.
5.1. Repeatability of the Test
Since the test apparatus simulates the dam breach process, each test condition can only be run once, making it difficult to precisely replicate the results of each test. This limitation prevents the quantification of data variability. The results of a single test can only reflect the breach process under that specific condition and lack statistical representativeness, thus cannot be quantitatively evaluated. Its core purpose is to reveal the qualitative relationship between conditions and breaches, rather than to provide quantitative scale parameters.
5.2. Scale Effect Analysis
This study investigates embankment failure imagery under varying water levels, embankment heights, and inflow rates. The physical model experiments were designed in strict adherence to the principle of geometric similarity. Since the embankment breach process is gravity-dominated, with both flow dynamics and breach propagation influenced by gravity, the Froude number was employed to correlate the head, velocity, and flow characteristics between the prototype embankment and the model. Consequently, the Froude similarity criterion served as the core design principle for the model, ensuring similarity in the breach process across different variable combinations. Three variable-scale ratios were established based on different embankment heights: 1:36, 1:28, and 1:22, with a crest width scale ratio of 1:100. Due to scale effects and model materials, absolute erosion rates cannot be directly scaled using similarity ratios. However, since the experiments focus on the macroscopic phenomena and patterns of embankment failure rather than precisely replicating erosion parameters, this does not conflict with the core research objectives of this study.
Due to inherent constraints of the physical model and material characteristics, this study exhibits Reynolds number distortion and permeability coefficient errors. The particle size distribution of the prototype soil and its hydraulic properties cannot be scaled proportionally within the model, resulting in a lower model Reynolds number compared to the prototype. However, since embankment failure is primarily influenced by gravity, the Reynolds number distortion affects only the local microscopic scale and does not compromise the analysis of macroscopic patterns. To minimize existing proportional distortions, this physical model experiment selected soil types and particle sizes similar to the embankment prototype and controlled soil moisture content. This ensured consistent core conditions when the model was subjected to hydraulic failure.