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机构地区:[1]大连理工大学海岸和近海工程国家重点实验室,辽宁大连116024
出 处:《武汉大学学报(工学版)》2017年第6期938-942,共5页Engineering Journal of Wuhan University
基 金:国家自然科学基金面上项目(编号:51378090);国家重点基础研究发展计划(973计划)(编号:2015CB057703);国家重点实验室开放基金资助项目(编号:2016CEM007)
摘 要:通过对混凝土热传导的细观特性分析,探讨混凝土的非均质特性对热传导过程的影响规律.假定混凝土由砂浆、粗骨料以及二者界面过渡区(ITZ)组成,利用Voronoi单元剖分技术建立细观格构网络模型,是开展热传导过程研究的新途径.基于非线性分析的热传导方程,利用伽略金加权余数法和有限差分法,确定其方程的数值形式,以水泥砂浆与花岗岩为例,开展了基于细观格构网络模型的混凝土热传导过程数值仿真分析.数值计算表明,混凝土的细观格构网络模型可有效地呈现其热传导过程,并可确定其内部温度场分布规律.It is of great importance for the effect of temperature variation on the stress distribution of concrete in a real environment. The gradient of temperature is one of the important factors to cause cracking of concrete. By analyzing the mesoscale properties of thermal conduction in concrete, the effect of the non- homogeneous characteristic of concrete on the thermal conduction process is discussed. Assuming that the concrete is described as a three-phase composite consisting of the coarse aggregate, cement mortar and the interracial transition zone between them, the mesoscale lattice network model by means of the Voronoi diagram technology is a kind of new method to simulate the thermal conduction process. Based on the nonlinear equation of thermal conduction, which is discretized by the Galerkin weighted residual and finite difference method, the mesoscale lattice network model is used to carry out the numerical simulation of thermal conduction, taking mortar and the granite for examples. Numerical analysis results showed that the mesoscale lattice network model of concrete can effectively present the thermal conduction and reasonably predict the temperature distribution of internal concrete.
分 类 号:TU528[建筑科学—建筑技术科学]
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