基于遗传进化的混凝土湿度场差分反演算法

The difference-inversion algorithm for concrete humidity field based on the genetic evolution

建立混凝土湿度场差分反演模型,并用遗传算法对其进行了优化求解。根据混凝土湿度扩散方程,确定其内部与边界的差分格式,并对具体实例进行了求解;针对经验参数计算结果与实测结果吻合较差的问题,提出了基于实测数据的差分反演模型,利用遗传算法对模型进行优化求解,所得结果与实测数据误差较小。该算法根据实测结果,可获得湿度场的实际分布情况,对类似问题有一定的参考作用。

This paper builds difference inversion model for concrete humidity and uses genetic algorithm to optimize the solution. Based on the concrete humidity diffusion equation, the difference algorithm of interior and boundary is established and it is used to solve the specific instance. Aimed at the poor agreement of experienced parameter calculation results with the measured ones,a difference-inversion model based on the measured data is proposed. Using the genetic algorithm to optimize the model, the result has good agreement with experimental data. According to the measured results, this algorithm can obtain the actual distribution of the humidity field,and also has a certain reference function to similar problems.