基于遗传算法的混凝土热学参数反分析与反馈研究

Back Analysis of Concrete Thermal Parameters and Study of Feedback Based on Genetic Algorithm

混凝土热学参数主要是通过室内试验得到的,不能真实地反应施工现场的混凝土热学性能.针对这一问题,结合工程现场实测的混凝土温度,利用遗传算法对混凝土温度场进行反演计算,并将计算值和实测值进行对比,分析计算结果的合理性,得到反映混凝土真实热学性能的参数.结合混凝土温度场应力场的基本原理和水管冷却的精确算法,利用这些参数,通过三维有限元仿真计算程序对施工现场混凝土温度场进行反馈计算,确定温控防裂措施,指导后续施工.结果表明,该方法可成为替代用室内试验和经验公式选取热学参数的有效途径.

At present, many thermal parameters of concrete used in engineering are mainly obtained from laboratory test, so they cannot indicate the real thermal properties of concrete in site. In view of this problem, the genetic algorithm is adopted to carry out the back analysis of parameters of concrete thermal field according to the measured temperature of concrete in situ test, and then the calculation temperature is compared with the measured temperature for the rationality of results. Using these parameters and under the basic theories of temperature field and stress field of concrete, the feedback study of concrete temperature during construction is carried out by the 3D FEM with the numerical algorithm of pipe cooling, and then the methods of temperature control and crack prevention are accepted to direct the following construction. The result shows that the method can replace laboratory test and empirical formula as one of effective way for thermal parameters selection, so it should have great reference signification to similar concrete projects in the future.