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高温冻结粘土单轴随机损伤本构模型及强度分布规律
引用本文:赖远明,李双洋,高志华,常小晓.高温冻结粘土单轴随机损伤本构模型及强度分布规律[J].冰川冻土,2007,29(6):969-976.
作者姓名:赖远明  李双洋  高志华  常小晓
作者单位:中国科学院, 寒区旱区环境与工程研究所, 冻土工程国家重点实验室, 甘肃, 兰州, 730000
基金项目:国家自然科学基金重点项目(40730736),国家杰出青年科学基金项目(40225001),中国科学院知识创新工程重要方向项目(KZCX3-SW-351),国家自然科学基金项目(40601023)资助
摘    要:从高温冻土内部裂隙、空洞等缺陷的随机分布出发,基于连续损伤理论和概率与数理统计理论,建立了高温冻土的单轴随机损伤本构模型,并利用3种不同试验温度下的实测数据与之对比分析.结果表明:模型能较好地反映高温冻土破坏的全过程,特别是其软化特性.同时,通过冻土强度的实测与理论概率分布的比较,发现Weibull分布能很好地反映高温冻土的强度分布规律.最后,基于高温冻土强度服从Weibull分布,进行了高温冻土强度的可靠度分析.

关 键 词:高温冻土  损伤本构  Weibull分布  强度  高温冻土  损伤本构  Weibull分布  强度  
文章编号:1000-0240(2007)06-0969-08
收稿时间:2007-01-29
修稿时间:2007-10-17

Stochastic Damage Constitutive Model for Warm Frozen Soil under Uniaxial Compression and Its Strength Distribution
LAI Yuan-ming,LI Shuang-yang,GAO Zhi-hua,CHANG Xiao-xiao.Stochastic Damage Constitutive Model for Warm Frozen Soil under Uniaxial Compression and Its Strength Distribution[J].Journal of Glaciology and Geocryology,2007,29(6):969-976.
Authors:LAI Yuan-ming  LI Shuang-yang  GAO Zhi-hua  CHANG Xiao-xiao
Institution:State Key Laboratory of Frozen soil Engineering, CAREERI, CAS, Lanzhou Gansu 730000, China
Abstract:Based on the characteristics of random distribution of defects such as fissure and void in warm frozen soil,a stochastic damage model for warm frozen soil under uniaxial compression is developed by using continuous damage theory and probability and statistic theory.And it is compared with experimental data in three different temperatures.The results show that,the whole damage process,especially its softening characteristic,can be well expressed by this model.Meanwhile,based on the comparison between experimental and theoretical probability distribution of strength of warm frozen soil,it is found that the Weibull distribution could well describe the strength distribution of frozen soil.At last,by using the idea that the strength of warm frozen soil satisfies with Weibull distribution,the reliability of strength of warm frozen soil is investigated.
Keywords:warm frozen soil  damage constitution  Weibull distribution  strength
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