.png){kind=icon}
返回
Modeling sand response using two-surface plasticity
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compgeo.2008.02.009.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper presents a two-surface plasticity constitutive model based on critical-state soil mechanics and describes a practical process for the determination of its parameters. Determination of the constitutive model parameters can be done in a hierarchical manner, starting with the model parameters that have the most bearing on sand behavior and that can be determined using routine experimental procedures. Most parameters can be determined through simple curve fitting through experimental data points. The constitutive model is calibrated against experimental data for Toyoura sand, clean Ottawa sand and mixtures of Ottawa sand with non-plastic silt. The model simulates closely the mechanical response of sands under various loading conditions and predicts both drained and undrained behavior of sands at small and large strains using the actual small-strain shear modulus, as measured in resonant column or bender elements tests, along with realistic values of Poisson's ratio. Performance of the model in simulating sand response is demonstrated for a variety of initial states and loading conditions. (C) 2008 Elsevier Ltd. All rights reserved.
Keyword:
Constitutive relations
Friction
Numerical modeling and analysis
Plasticity
Sands
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.2
论文数:
7.2K
被引数:
2.9W
机构
引用论文
C–H activation of acetone by 2-phenylazophenylgold(III) complexes; synthesis of the first acetonylgold(III) complex2-苯基偶氮苯基金 (III) 配合物对丙酮的c-h活化; 第一个丙酮基金 (III) 配合物的合成
.png){kind=icon}
PREAI
分享收藏Influences of Subsoil Modelling on Underground Deep Excavation Behaviour in Phnom Penh City, Cambodia底土模型对柬埔寨金边市地下深基坑行为的影响
PREAI
分享收藏The platelet-to-lymphocyte ratio as a significant prognostic factor to predict survival outcomes in patients with synchronous metastatic renal cell carcinoma血小板与淋巴细胞比率作为预测同步转移性肾细胞癌患者生存结果的重要预后因素
OAAI
OAAI分享收藏分享收藏Computing the asymptotic covariance matrix of a vector of sample autocorrelations for ARMA processes
PREAI
分享收藏
查看更多内容