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关于土土论文范文资料 与花岗岩残积土土水特征曲线参数概率有关论文参考文献

版权:原创标记原创 主题:土土范文 科目:硕士论文 2024-02-15

《花岗岩残积土土水特征曲线参数概率》:本论文可用于土土论文范文参考下载,土土相关论文写作参考研究。

摘 要:土水特征曲线(SWCC)用于描述非饱和土中含水量和基质吸力的关系,在非饱和土力学中具有重要的作用.在SWCC拟合模型中有多个拟合参数,各值通过实验方法获得且具有很大的不确定性.采用贝叶斯理论对拟合参数的不确定性进行分析,将SWCC拟合参数作为随机变量,采用Van Genuchten模型拟合花岗岩残积土的土水特征曲线试验数据.以马尔可夫链蒙特卡罗方法的延迟拒绝适应性算法获得模型参数后验分布抽样,获得了不同置信区间的SWCC及其对应参数值.

关键词:贝叶斯理论;土水特征曲线;马尔可夫链蒙特卡罗算法;花岗岩残积土;置信区间

中图分类号:TU411文献标志码:A文章编号:16744764(2017)01011206

收稿日期:20160916

基金项目:国家自然科学基金(51468041、 51268046);江西省自然科学基金(20161BAB203078);教育部博士点专项基金(20123601110001)

作者简介:罗小艳(1978),女,主要从事岩土工程可靠度研究,(Email)luoxiaoyan2@126.com.

刘伟平(通信作者),男,副教授,(Email)wpliu@126.com.

Received:20160916

Foundation item:National Natural Science Foundation of China (No.51468041, 51268046); Natural Science Foundation of Jiangxi (No. 20161BAB203078); PhD Programs Foundation of Ministry of Education of China (No. 20123601110001)

Author brief:Luo Xiaoyan (1978), main research interest: geotechnical engineering reliability, (Emial) luoxiaoyan2@126.com.

Liu Weiping (corresponding author), associate professor, (Email) wpliu@126.com.Probabilistic analysis of the soilwater characteristic

curve of granite residual soil

Luo Xiaoyan1,2,3,Liu Weiping1

(1.School of Civil Engineering and Architecture, Nanchang University, Nanchang 330031, P. R. China;

2. School of Civil Engineering and Architecture, Jiangxi Science and Technology Normal University,

Nanchang 330013, P. R. China;3. The University of Newcastle, NSW 2308, Australia)

Abstract:The soilwater characteristic curve(SWCC)could be used to describe the relationship between the water content and the matrix suction in unsaturated soil and played important roles in unsaturated soil mechanics. Several parameters in fitting models and significant uncertainty of SWCC were obtained by experiment. The uncertainty of SWCC fitting parameters was analyzed using the Bayesian theory. The curvefitting parameters were regarded as the random vectors. And the Van Genuchten model was used to fit the experimental data of SWCC for the granite residual soils. The posterior distributions of model fitting parameters were obtained by the Markov Chain Monte Carlo simulation delayed rejection adaptive metropolis. Confidence intervals of uncertain model parameters of SWCC were obtained by proposed approach.

Keywords:bayesian theory; soilwater characteristic curve; markov chain monte carlo; granite residual soils; confidence interval

土水特征曲線(SWCC)描述土中含水量或饱和度和基质吸力之间的关系,可以用来预测非饱和土中的渗透系数、抗剪强度、体积变化等[13].由于每个测量点需要长时间去使基质吸力平衡,土水特征曲线试验耗时很长.通常只能在有限的数据的基础上对土水特征曲线进行拟合.为了有效地预测土水特征曲线,不同的土水特征曲线的拟合方法和模型被提出.土水特征曲线广泛应用到非饱和土工程的数值分析中,SWCC拟合参数输入的可靠性直接影响着数值结果的正确性.

土土论文参考资料:

结论:花岗岩残积土土水特征曲线参数概率为关于对不知道怎么写土土论文范文课题研究的大学硕士、相关本科毕业论文土土相生吗论文开题报告范文和文献综述及职称论文的作为参考文献资料下载。

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