第39卷第1期 2017年2月
土木建筑与环境工程
Journal of Civil,Architectural &.Environmental Engineering
doi:10.11835/j.issn.1674-4764.2017.01.016
花岗岩残积土的土-水特征曲线参数概率
罗小艳1,23，刘伟平1
Vol. 39 No. 1 Feb.2017
（1.南昌大学建筑工程学院，南昌330031；2.江西科技师范大学建筑工程学院，南昌330013：
3.纽卡斯尔大学，新南威尔士2308）
摘要：土-水特征曲线（SWCC)用于描述非饱和土中含水量与基质吸力的关系，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VanGenuchten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；土一水特征曲线；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：1674-4764(2017)01-0112-06
Probabilistic analysis of the soil-water characteristic
curve of granite residual soil e7sgoxon
(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 soil-water 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 curve-fitting 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
收稿日期：2016-09-16
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，（E-mail>luoxiaoyan2@126.com。
刘伟平（通信作者），男，副教授，（E-mail)wpliu126.com。
Received:2016-09-16
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, (E-mial) luoxiaoyan2@
126.com.
Liu Weiping (corresponding author), associate professor, (E-mail) wpliu@126. com.