The Study of Cemented Sand and Gravel Constitutive Model

Sun, Ming Quan; Yang, Shi Feng

doi:10.4028/www.scientific.net/amr.243-249.4596

Cited by 6 publications

(6 citation statements)

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“…At this stage, the deviatoric stress (σ 1 − σ 3 ) decreases as the axial strain increases, and the tangent elastic modulus is negative at this time. Therefore, the classical hyperbolic model cannot be directly used [18]. Curve 1 in Figure 4a is the actual stress-strain curve of the material, and the stressstrain relationship at this time does not satisfy the classical hyperbolic model.…”

Section: Principle Of Virtual Rigid Spring Methodsmentioning

confidence: 99%

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Research on Settlement and Section Optimization of Cemented Sand and Gravel (CSG) Dam Based on BP Neural Network

Wang,

Yang,

Lin

2024

Applied Sciences

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In order to predict the settlement and compressive stress of the cemented sand and gravel (CSG) dam, and optimize its section design, relying on a CSG dam in the design phase, using finite element software ANSYS, the influence of the dam’s own geometric dimensions and the material parameters of the overburden, including upstream and downstream slope coefficients of the first and the second stage of the dam body, the elastic modulus and the Poisson’s ratio of the overburden on the dam’s settlement and compressive stress are studied. An orthogonal experiment with six factors and three levels is conducted for a grey relational analysis of the dam’s maximum settlement and maximum compressive stress separately on these six parameters. Based on the BP neural network, the six selected factors are used as input layers for the neural network prediction model, and the maximum settlement and compressive stress of the dam are taken as the result to be output. The mapping relationship between the geometric dimensions of the dam body and the maximum settlement and the maximum compressive stress in the trained prediction model is combined with the global optimization tool Pattern Search in the MATLAB toolbox to optimize the section design of the dam. The results reveal that the six selected factors have a high correlation degree with the dam’s maximum settlement and maximum compressive stress. In dimension parameters, the downstream slope coefficient of the second stage of the dam has the greatest impact on the maximum settlement, with a grey correlation degree of 0.7367, and the upstream slope coefficient of the second stage of the dam has the greatest impact on the maximum compressive stress, with a grey correlation degree of 0.7012. The influence of the elastic modulus of the overburden on the maximum settlement and maximum compressive stress of the dam body is greater than its Poisson’s ratio. The BP neural network is applicable for predicting the dam’s settlement based on geometric dimension parameters of the dam and material parameters of the surrounding environment, with R2 reaching 0.9996 and RMSE only 0.0109 cm. Based on the optimization method combined with BP neural network, the material consumption is saved by 11.83%, the maximum settlement is reduced by 2.6%, the maximum compressive stress is reduced by 37.35%, and the optimization time is shortened by 40.92%, compared to the traditional method. The findings have certain reference value for site selection, dimension design, overburden treatment, and design optimization of CSG dams.

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Section: Principle Of Virtual Rigid Spring Methodsmentioning

confidence: 99%

“…At this stage, the deviatoric stress (𝜎 1 − 𝜎 3 ) decreases as the axial strain increases, and the tangent elastic modulus is negative at this time. Therefore, the classical hyperbolic model cannot be directly used [18].…”

Section: Principle Of Virtual Rigid Spring Methodsmentioning

confidence: 99%

Research on Settlement and Section Optimization of Cemented Sand and Gravel (CSG) Dam Based on BP Neural Network

Wang,

Yang,

Lin

2024

Applied Sciences

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“…Many advisable explorations have been made on the constitutive model of CSG. Sun et al [ 29 ] found a nonlinear elastic model based on the augmented spring method. Alan et al [ 30 ] proposed an elastic-plastic yield model considering the viscosity effect.…”

Section: Introductionmentioning

confidence: 99%

A Study of Strength Parameter Evolution and a Statistical Damage Constitutive Model of Cemented Sand and Gravel

et al. 2023

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Cemented sand and gravel (CSG) has a wide range of applications in dam construction, and its properties are between rockfill and roller compacted concrete (RCC). A difference in gel content will result in a variance in CSG’s structure and mechanical properties. To investigate the intricate structural mechanical properties of CSG, this study conducted a series of laboratory tests and associated discrete element analyses. Accordingly, the evolution law of the strength parameters of CSG is explored and a statistical damage constitutive model suitable for CSG is established. The main contributions of this study are as follows: (1) The failure mechanism of the CSG was described from the microscopic level, and the evolution law of the strength parameter cohesion and friction angle of the CSG was analyzed and summarized. (2) Based on the particle flow model, the energy development law and the spatiotemporal distribution law of acoustic emission (AE) provide illustrations of the strain hardening–softening transition features and the interaction between cohesion and friction of CSG. (3) The evolution function between the strength parameter and the strain softening parameter was built, and the critical strain softening parameter was determined by the microcrack evolution law of the particle flow model. (4) The accuracy of the evolution curve was confirmed by comparing it to experimental results. (5) Based on the relationship between cohesion loss and material damage, a statistical damage constitutive model was developed using the improved Mohr–Coulomb strength criterion as the micro strength function. The constitutive model can accurately describe the stress–strain curves of CSG with different gel content. Furthermore, the model reflects the strain hardening–softening properties of CSG and reveals the relationship between the weakening of cohesion and material damage at the microscopic level. These findings provide valuable guidelines for investigating the damage laws and microcosmic failure features of CSG and other relevant materials.

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“…In recent years, in the world practice of hydraulic engineering construction, there has been a trend in the design of combined dam structures. At the same time, new designs of concrete dams appear, including soil elements -dams made of soil concrete (CSG) [1][2][3], at the same time, elements made of cement, concrete and reinforced concrete materials appear in the designs of soil dams. The emergence of new dam designs is caused by the expansion of construction regions, covering the territories of the Northern climatic zone, foothills and mountainous regions, where there is often no developed transport infrastructure, there are no quarries of special building materials, where the conditions for conducting construction work and skipping construction costs are complicated,…”

Section: Introductionmentioning

confidence: 99%

Hydrodynamic pressure of water on the head face of an earth dam during an earthquake

Bestuzheva,

Gotsiridze

2023

E3S Web Conf.

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The loads acting on the pressure face of hydraulic structures from the water mass of the reservoir during earthquakes are usually set in the form of a diagram of the coefficients of the added mass of water, while the hydrodynamic pressure of water along the height of the pressure face is distributed in proportion to the diagram of the obtained coefficients. The paper presents a solution to the problem of hydrodynamic water pressure on the pressure face of an earth dam at slope angles from 0 to 75 degrees (with respect to the vertical). Construction of isolines of the streamline function distributionψ (x, z) in the computational domain was carried out in PC MATLAB. Solution Δψ = 0 allows to build isolines of the distribution of the hydrodynamic pressure function φ(x, z) in the computational area. The paper presents hydrodynamic grids and graphs that make it possible to construct a diagram of the added mass of water for the entire range of emplacement of the upper slopes of dams. The developed method for solving the problem of hydrodynamic water pressure on the pressure face of the dam can be applied to any shape of the slope profile of the dam.

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The Study of Cemented Sand and Gravel Constitutive Model

Cited by 6 publications

References 0 publications

Research on Settlement and Section Optimization of Cemented Sand and Gravel (CSG) Dam Based on BP Neural Network

Research on Settlement and Section Optimization of Cemented Sand and Gravel (CSG) Dam Based on BP Neural Network

A Study of Strength Parameter Evolution and a Statistical Damage Constitutive Model of Cemented Sand and Gravel

Hydrodynamic pressure of water on the head face of an earth dam during an earthquake

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