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砂土的UH模型

姚仰平, 刘林, 罗汀

姚仰平, 刘林, 罗汀. 砂土的UH模型[J]. 岩土工程学报, 2016, 38(12): 2147-2153. DOI: 10.11779/CJGE201612002
引用本文: 姚仰平, 刘林, 罗汀. 砂土的UH模型[J]. 岩土工程学报, 2016, 38(12): 2147-2153. DOI: 10.11779/CJGE201612002
YAO Yang-ping, LIU Lin, LUO Ting. UH model for sands[J]. Chinese Journal of Geotechnical Engineering, 2016, 38(12): 2147-2153. DOI: 10.11779/CJGE201612002
Citation: YAO Yang-ping, LIU Lin, LUO Ting. UH model for sands[J]. Chinese Journal of Geotechnical Engineering, 2016, 38(12): 2147-2153. DOI: 10.11779/CJGE201612002

砂土的UH模型  English Version

基金项目: 国家重点基础研究发展计划(“973计划”)项目(2014CB047001); 国家自然科学基金项目(51579005,11272031)
详细信息
    作者简介:

    姚仰平(1960- ),男,教授,博士生导师,主要从事土的本构关系和机场高填方研究。E-mail: ypyao@buaa.edu.cn。

UH model for sands

  • 摘要: 在UH(Unified Hardening,统一硬化)模型的基础上,通过分析砂土特性,建立了砂土的本构模型。该模型具有以下几个特点:①通过引入压硬性参量,模型可以描述在e-lnp空间内砂土的等向压缩线为曲线的特性;②通过引入剪胀性参数,模型可以合理描述砂土的剪胀特性,即松砂的特征状态应力比较大,密砂的特征状态应力比较小的特性;③通过引入临界状态参数来建立砂土的水滴形屈服面,模型可以合理描述临界状态线(CSL)在e-lnp空间内的位置。相对于UH模型,本文所提的砂土模型只增加了3个材料参数,且3个参数都可通过室内常规试验确定。最后,利用该模型对砂土排水和不排水试验进行预测,预测结果与试验结果吻合很好。
    Abstract: By analyzing the behaviours of sands, a constitutive model for sands is proposed based on the UH model. The model has the following characteristics: (1) the model can describe that the isotropic compression line of sands is a curve in the e-lnp plane by introducing a compressive hardening parameter. (2) The stress ratio at the characteristic state point of loose sand is relatively large, and that of dense sand is relatively small, which can be described by the new model by introducing a dilatancy parameter. (3) The yield surface of sands is proposed by introducing a critical state parameter, and the position of the critical state line (CSL) in the e-lnp plane can be accurately described by the proposed model. Compared with the UH model, the proposed model requires three additional sand parameters which can be determined by the conventional triaxial tests. Finally, the validity of the new model is confirmed by the data from triaxial drained and undrained compression tests for sands.
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  • 期刊类型引用(1)

    1. 凌跃,刘元雪,赵久彬,白云山,赵智宏,王云潇,张左群. 基于大数据的砂土滞后性计算模型研究. 计算机与数字工程. 2022(06): 1298-1305 . 百度学术

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出版历程
  • 收稿日期:  2016-08-17
  • 发布日期:  2016-12-24

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