采矿与安全工程学报 ›› 2014, Vol. 31 ›› Issue (4): 612-619.

• 论文 • 上一篇    下一篇

基于Monte-Carlo法的立井井壁随机温度场分析

  

  1. 中国矿业大学深部岩土力学与地下工程国家重点实验室,力学与建筑工程学院,江苏 徐州 221116
  • 出版日期:2014-07-15 发布日期:2014-08-28
  • 作者简介:王涛 (1987—),男,四川省达州市人,博士研究生,从事冻土力学与工程、随机有限元方面的研究。 E-mail:wtbtj@126.com Tel:13815345693
  • 基金资助:

    国家重点基础研究发展计划(973)项目(2012CB026103);国家高技术研究发展计划(863)项目(2012AA06A401);国家自然科学基金项目(41271096)

Random temperature field of shaft wall based on Monte-Carlo method

  • Online:2014-07-15 Published:2014-08-28

摘要: 为了深入研究不确定因素对立井井壁温度场的影响,将井壁传热区域的导热系数、内热源强度、质量密度及质量比热容等不确定性参数模拟为随机场,基于随机场局部平均理论,采用Monte-Carlo随机有限元法对立井井壁随机温度场求解进行了分析,给出了有限元节点温度响应的均值、方差及变异系数的计算公式,根据计算步骤编写了求解立井井壁随机温度场的Matlab随机有限元程序。通过工程实例,考察了随机场参数对立井井壁温度场随机性响应的影响,并与将各随机参数视为单一随机变量的情况进行了对比。结果表明:基于随机场理论的Monte-Carlo随机有限元法能合理考虑井壁混凝土热学参数空间上的不确定性;编制的Matlab随机有限元程序可直接输出各时刻井壁温度场的统计结果;传统的井壁温度场确定性分析存在缺陷,将井壁混凝土的热学参数模拟为单一随机变量会高估其变异性,采用随机场建模方法显得更加科学合理。

关键词: 随机场, Monte-Carlo法, 立井井壁, 随机温度场

Abstract: To study the effect of uncertain factors on the temperature field of shaft wall, by modeling the parameters such as heat transfer coefficient, heat intensity, specific heat capacity and medium density as spatially random fields, an analysis of calculating the temperature field of vertical shaft wall adopting Monte-Carlo stochastic finite element method has been proposed based on the local average theory of random field. The mean of temperature response of finite element node, computational formulas of mathematical expectation, variance and variable coefficient have been given. According to the calculation steps, the stochastic finite element calculation program for solving the temperature field of vertical shaft wall has been compiled by the MATLAB software. An engineering example has been presented in order to demonstrate the effects of random field parameters on the temperature field of vertical shaft wall. These results have been compared with the results derived when the random parameters was only dealt with random variable. The results show that Monte-Carlo stochastic finite element method based on random field theory can consider the uncertainty of thermal parameters for shaft wall reasonably. Stochastic finite element calculation program compiled by MATLAB software can directly output the statistical results of the temperature field for shaft wall. The traditional certainty analysis about the temperature field of shaft wall has some defects. It will overestimate the variability when thermal parameters of shaft wall is simulated as single random variables. Therefore, the method based on random field theory is more scientific and reasonable.

Key words: random field, Monte-Carlo method, shaft wall, random temperature field