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大体积混凝土结构温度场的随机有限元算法
引用本文:刘宁,刘光廷.大体积混凝土结构温度场的随机有限元算法[J].清华大学学报(自然科学版),1996(1).
作者姓名:刘宁  刘光廷
作者单位:清华大学水利水电工程系,“高坝大型结构”国家实验室!北京100084,清华大学水利水电工程系,“高坝大型结构”国家实验室!北京100084
摘    要:综合考虑环境因素(如库水温度、气温等)以及混凝土热力学参数的随机性,给出了可以反映材料参数随机性的基于随机场局部平均的温度场随机变分原理和随机有限元列式。为使随机有限元法可以进一步考虑随机过程参数的影响,文中视复频响应函数为随机函数;给出了复频响应函数-随机有限元法。文末算例表明了该方法的正确性和实用性。

关 键 词:随机温度场  随机变分原理  随机有限元方法

Random temperature field of mass concrete structure solved by stochastic finite element method
Liu Ning,Liu Guangting.Random temperature field of mass concrete structure solved by stochastic finite element method[J].Journal of Tsinghua University(Science and Technology),1996(1).
Authors:Liu Ning  Liu Guangting
Abstract:Various random factors including environmental factors and concrete thermal parameters are considered. Based on random field local average method, random variational principle and stochastic finite element method formula of random temperature field are derived. In order to calculate the influence of random process parameters,random temperature field is separated into two random fields: (a)random temperature field affected only by environmental random factors ; (b)random temperature field affected only by random hydration heat process. The complex frequency response function is considered as random function and stochastic complex frequency response finite element method is suggested for the random field (a). As for the random field (b),Taylor series expansion is used to simplify nonstationary hydration heat process. Corresponding formulas are presented. It is shown that random process and field parameters can be comprehensively and conveniently taken acount of . Examples compared with Monte-Carlo simulation are given to tertify our methods.
Keywords:random temperature field  random variational principle  stochastic finite  element method
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