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岩土参数随机场计算机模拟及其工程应用
引用本文:张继周,王华敬,刘福胜,徐玉燊.岩土参数随机场计算机模拟及其工程应用[J].水利与建筑工程学报,2017,15(3).
作者姓名:张继周  王华敬  刘福胜  徐玉燊
作者单位:1. 中设设计集团股份有限公司 ,江苏南京,210014;2. 山东农业大学水利土木学院 ,山东泰安,271018;3. 北京师范大学地理学与遥感科学学院 ,北京,100875
基金项目:国家科技支撑计划资助项目
摘    要:基于随机场模拟的局部平均细分法理论,借助随机数发生器的子程序库,实现随机场可靠性分析的计算机模拟,并结合有限元软件ANSYS的后处理模块将模拟结果可视化,进而分析离散尺寸和相关距离对模拟结果的影响,通过工程实例,应用随机场计算机模拟结合Monte-Carlo抽样分析的手段,进行工程可靠性分析。结果表明随着相关距离的增加,随机场的变化特性减慢;越靠近上部的土层,土性参数的不确定性对基础沉降的概率反映特性的影响越大。研究成果不仅提供岩土参数随机场计算机模拟的实现方法,而且诠释其应用过程,完善随机场理论在岩土工程可应用领域的一个重要拼图。

关 键 词:随机场理论  计算机模拟  可靠性分析  Monte-Carlo抽样  有限元方法

Computer Simulation and Engineering Application of Soil-parameter Random Field in Geotechnical Engineering
ZHANG Jizhou,WANG Huajing,LIU Fusheng,XU Yushen.Computer Simulation and Engineering Application of Soil-parameter Random Field in Geotechnical Engineering[J].Journal of Water Resources Architectural Engineering,2017,15(3).
Authors:ZHANG Jizhou  WANG Huajing  LIU Fusheng  XU Yushen
Abstract:Based on the local average subdivision algorithm and the subroutine library of random number generators ,com-puter simulation of random field were obtained and visualized by adopting the post processor of ANSYS .Hence ,two com-mon influential factors such as discrete sizes and correlation distances were analyzed .In addition ,a case study was con-ducted to verify the effectiveness of the computer simulation using Monte -Carlo sampling method .The results show that with the increase of correlation distance ,the features of change of random field slow down .As near to upper soil layer , the uncertainty of soil parameters greatly impacts the probability characteristics of foundation settlement .The conclusions of this paper can not only provid approaches to simulate the representative random fields of soil profiles ,but also demon-strate procedures in engineering application .Furthermore ,it can be very helpful to develop the technology systems about applications of random field theory for reliability analysis in geotechnical engineering .
Keywords:random field theory  computer simulation  reliability analysis  Monte-Carlo sampling  FEM
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