Modelling the time‐dependent behaviour of granular material with hypoplasticity

Wang, Shun; Wu, Wei; Yin, Zhen‐Yu; Peng, Chong; He, Xuzhen

doi:10.1002/nag.2793

Cited by 36 publications

(11 citation statements)

References 71 publications

(135 reference statements)

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“…where e is the current void ratio, e crt is the critical state void ratio, and α is a constitutive constant that controls the degree of strain softening [29,38].…”

Section: Hypoplastic Model With Critical State For Sandmentioning

confidence: 99%

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A state-dependent hypoplastic model for methane hydrate-bearing sands

Wang

Jiang

et al. 2020

Acta Geotech.

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The mechanical behaviors of methane hydrate-bearing sands (MHBS) are largely affected by the presence of methane hydrate, temperature, and pore pressure. In this study, we present a simple hypoplastic model for MHBS. Methane hydrate saturation is included as a state parameter affecting the mechanical behaviors of MHBS. A new phase parameter is introduced to account for the coupled effects of temperature and pore pressure on the mechanical behaviors of MHBS. The phase parameter can be determined by a simple function of temperature and pore pressure. Comparison of the predictions with experiments shows that the model is able to capture the salient behaviors of MHBS.

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“…where e is the current void ratio, e crt is the critical state void ratio, and α is a constitutive constant that controls the degree of strain softening [29,38].…”

Section: Hypoplastic Model With Critical State For Sandmentioning

confidence: 99%

“…Owing to their simple formulations with few model parameters, hypoplastic models have been widely used to model the behaviors of sands [27][28][29][30], clay [31,32], frozen soil [33], and debris materials [34], etc. Recently, the hypoplstic model has also been applied to model the mechanical behaviors of MHBS [35].…”

Section: Introductionmentioning

confidence: 99%

A state-dependent hypoplastic model for methane hydrate-bearing sands

Wang

Jiang

et al. 2020

Acta Geotech.

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“…Thus, both two models are not considered in model selection. To compare the performance of comparable models (same level of numerical sophistication) and an engineer cannot easily distinguish which model to be adopted in practice, a set of model classes that included four representative sand models was chosen for their popularity to perform model selection: (a) the SIMSAND model, the critical state and interlocking effect are incorporated so that the stress dilatancy and contraction can be described; (b) the SANISAND model, which incorporates the concept of bounding surface compared with SIMSAND; (c) the HYPOSAND by Wang et al, which belongs to the framework of hypoplasticity; and (d) the MCCSAND, which belongs to the framework of modified Cam‐Clay (Yao et al). The basic constitutive equations of all selected sand models are summarized in Appendix A.…”

Section: Representative Advanced Sand Modelsmentioning

confidence: 99%

Bayesian model selection for sand with generalization ability evaluation

Jin

Yin

Zhou

et al. 2019

Num Anal Meth Geomechanics

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Summary Current studies have focused on selecting constitutive models using optimization methods or selecting simple formulas or models using Bayesian methods. In contrast, this paper deals with the challenge to propose an effective Bayesian‐based selection method for advanced soil models accounting for the soil uncertainty. Four representative critical state‐based advanced sand models are chosen as database of constitutive model. Triaxial tests on Hostun sand are selected as training and testing data. The Bayesian method is enhanced based on transitional Markov chain Monte Carlo method, whereby the generalization ability for each model is simultaneously evaluated, for the model selection. The most plausible/suitable model in terms of predictive ability, generalization ability, and model complexity is selected using training data. The performance of the method is then validated by testing data. Finally, a series of drained triaxial tests on Karlsruhe sand is used for further evaluating the performance.

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“…Hypoplastic constitutive models, as an alternative to elastoplastic models, have aroused increasing interests recently 28–41 . Some beneficial features of hypoplastic constitutive models include simple formulation, fewer parameters, non‐linear behaviour before failure and smooth transition from contractancy to dilatancy.…”

Section: Introductionmentioning

confidence: 99%

Bifurcation analysis of shear band in sand under true triaxial conditions with hypoplasticity

Zhang

Wang²,

et al. 2021

Num Anal Meth Geomechanics

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Predicting the onset of shear band is of significance in understanding the failure of geomaterials. The prediction accuracy is dictated by the constitutive model used for the description of the pre‐bifurcation behaviour. In this study, we first modify a recently proposed hypoplastic constitutive model by incorporating a general strength criterion and a stiffness function. We proceed to consider the onset of shear band in sand under true triaxial conditions. We demonstrate that our analyses capture the pre‐bifurcation stress–strain relationship at different values of intermediate principal stress and predict fairly well the onset of shear band. The acoustic tensor criterion generally adopted in elastoplastic approaches is inadequate for hypoplastic approaches. No special non‐coaxial treatment is required for the present approach to yield a reasonable variation trend of bifurcation strain with intermediate principal stress ratio b.

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Modelling the time‐dependent behaviour of granular material with hypoplasticity

Cited by 36 publications

References 71 publications

A state-dependent hypoplastic model for methane hydrate-bearing sands

A state-dependent hypoplastic model for methane hydrate-bearing sands

Bayesian model selection for sand with generalization ability evaluation

Bifurcation analysis of shear band in sand under true triaxial conditions with hypoplasticity

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