Research on the Particle Breakage of Rockfill Materials during Triaxial Tests

Jia, Yuxi; Xu, Bin; Chi, Shichun; Xiang, Baoqiang; Zhou, Yang

doi:10.1061/(asce)gm.1943-5622.0000977

Cited by 86 publications

(13 citation statements)

References 35 publications

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“…Particle crushing occurs commonly in geotechnical engineering processes, e.g., the construction of high rockfill dams (Tapias et al 2015;Jia et al 2017;Xiao et al 2018), the cyclic loading of railway ballast (Lu and McDowell 2010;Indraratna et al 2015;Sun et al 2016), and the installation of piles penetrating into crushable soils (Jardine et al 2013;Mao et al 2019). The crushability of particles is related to many factors such as the particle size, particle size distribution (PSD), particle shape, lithology, density, and stress level (McDowell and Bolton 1998;Nakata et al 1999;Alonso et al 2012;Xiao et al 2018).…”

Section: Introductionmentioning

confidence: 99%

“…The crushability of particles is related to many factors such as the particle size, particle size distribution (PSD), particle shape, lithology, density, and stress level (McDowell and Bolton 1998;Nakata et al 1999;Alonso et al 2012;Xiao et al 2018). Particle crushing leads to changes in the particle size and shape, and further influences the compressibility, shear strength, seepage, and time-dependent behavior of particle aggregates (Cheng et al 2004;Kwok and Bolton 2013;Xiao et al 2016;Jia et al 2017;Liu et al 2018). More recently, the evolution of the particle size and shape during particle crushing has drawn attention in the numerical simulation and constitutive modeling of crushable granular soils.…”

Section: Introductionmentioning

confidence: 99%

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Exploration of the Survival Probability and Shape Evolution of Crushable Particles during One-Dimensional Compression Using Dyed Gypsum Particles

Shen

Liu

et al. 2020

J. Geotech. Geoenviron. Eng.

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Observing the fragmentation of individual particles within granular assemblies is a subject of evident theoretical and practical importance. A new technique using dyed gypsum particles (DGPs) to match the broken particles to their parents was adopted in this study. An image-based method of acquiring the shape information of particles from two orthogonal views was proposed. The mass survival probability and shape characteristics of the children particles were analyzed after a series of one-dimensional compression tests on the DGPs. It was found that medium-sized particles in the polydisperse samples underwent more breakage than the other particles, and this might have been attributed to the combined effects of the particle crushing strength and the coordination number. The shape evolution of broken particles and surviving particles showed opposite trends. As the particles after the test within a given size range consisted of both the broken and surviving particles, their overall shape characteristics did not show a consistent trend. Furthermore, individual particle crushing tests on the children particles suggested that the breakage-induced shape irregularity did not change the Weibull modulus, but had a substantial effect on the magnitude of the survival probability.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploration of the Survival Probability and Shape Evolution of Crushable Particles during One-Dimensional Compression Using Dyed Gypsum Particles

Shen

Liu

et al. 2020

J. Geotech. Geoenviron. Eng.

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“…More and more high rockfill dams are under construction for the past few years (Yu et al, 2017;Xing et al, 2006;Modares and Quiroz, 2016;Zhang et al, 2017;Jia et al, 2017). Actual construction quality, dam material properties and construction progress are important factors influencing the structural behaviors (stress and deformation, uneven settlement, arch effects, etc.)…”

Section: Introductionmentioning

confidence: 99%

Stochastic finite element analysis of rockfill dam considering spatial variability of dam material porosity

Hui

Liu

2019

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Purpose The purpose of this study is to develop a stochastic finite element method (FEM) to solve the calculation precision deficiency caused by spatial variability of dam compaction quality. Design/methodology/approach The Choleski decomposition method was applied to generate constraint random field of porosity. Large-scale laboratory triaxial tests were conducted to determine the quantitative relationship between the dam compaction quality and Duncan–Chang constitutive model parameters. Based on this developed relationship, the constraint random fields of the mechanical parameters were generated. The stochastic FEM could be conducted. Findings When the fully random field was simulated without the restriction effect of experimental data on test pits, the spatial variabilities of both displacement and stress results were all overestimated; however, when the stochastic FEM was performed disregarding the correlation between mechanical parameters, the variabilities of vertical displacement and stress results were underestimated and variation pattern for horizontal displacement also changed. In addition, the method could produce results that are closer to the actual situation. Practical implications Although only concrete-faced rockfill dam was tested in the numerical examples, the proposed method is applicable for arbitrary types of rockfill dams. Originality/value The value of this study is that the proposed method allowed for the spatial variability of constitutive model parameters and that the applicability was confirmed by the actual project.

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“…e modified Morris method [10][11][12] is adopted to identify the parameters of high sensitivity for parametric inversion of the coupled E-ν and Burgers model. e coupled E-ν and Burgers model contains numerous parameters with complex relationship, whose inversion analysis is a typical nonlinear problem [13][14][15][16][17][18]. e traditional methods for parametric inversion are clear, but there are still shortcomings like inefficient calculation and poor accuracy.…”

Section: Introductionmentioning

confidence: 99%

Parameter Sensitivity and Inversion Analysis for a Concrete Face Rockfill Dam Based on CS‐BPNN

Chen

Shao

et al. 2019

Advances in Civil Engineering

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The deformation behavior of rockfill is significant to the normal operation of concrete face rockfill dam. Considering both the nonlinear mechanical behavior and long-term rheological deformation, the E-ν model and modified Burgers model are coupled to describe the deformation behavior of the rockfill materials. The coupled E-ν and Burgers model contains numerous parameters with complex relationship, and an efficient and accurate inversion analysis is in demand. The sensitivity of the parameters in the coupled E-ν and modified Burgers is analyzed using the modified Morris method initially. Then, a new approach of parameter back analysis is proposed by combining back-propagation neutral network (BPNN) and Cuckoo Search (CS) algorithm. The numerical example shows that parameters K, Rf, and φ0 as well as G are more sensitive to the deformation of the rockfill body. The inversion analysis for these four parameters and η2, E2, and A as well as B in modified Burgers model is performed by the CS-BPNN algorithm. The numerical results demonstrate that the parameters obtained with the proposed method are reasonable and its feasibility is validated.

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Research on the Particle Breakage of Rockfill Materials during Triaxial Tests

Cited by 86 publications

References 35 publications

Exploration of the Survival Probability and Shape Evolution of Crushable Particles during One-Dimensional Compression Using Dyed Gypsum Particles

Exploration of the Survival Probability and Shape Evolution of Crushable Particles during One-Dimensional Compression Using Dyed Gypsum Particles

Stochastic finite element analysis of rockfill dam considering spatial variability of dam material porosity

Parameter Sensitivity and Inversion Analysis for a Concrete Face Rockfill Dam Based on CS‐BPNN

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