基于ANSYS优化模块的大体积混凝土热学参数识别

Identify Material Thermal Coefficients of Mass Concrete by ANSYS Optimization Module

确定大体积混凝土水化热温度场分析中的混凝土材料热学参数是准确模拟混凝土温度场的关键因素.本文提出了一种识别混凝土材料热学参数的新思路,通过测定混凝土结构内几个点的温度时程变化数据,以实测温度与有限元理论计算温度间的误差极小为目标,以待识别的混凝土材料热学参数为设计变量,建立数学优化模型,并应用ANSYS的优化模块进行建模并求解,得到的最优设计变量即为识别出的混凝土热学参数.工程实例表明此方法可行.

The determing the thermal coefficients of mass concrete is very important to analyse temperature field of concrete correctly. A new method is brought forward for identifing thermal coefficients of concrete. Based on realtime temperatural data of several test point in concrete, an optimization model is established to identify the thermal coeffecients of concrete. The optimization model takes minimum error between test temperatures and calculating temperatures as objective function, and it takes the thermal coefficients of concrete as design variables. ANSYS optimization module is adopted to solve the optimization model, and the optimal design variables are obtained, which are identified as the thermal coefficients of concrete. An engineering example indicates the method is feasible.