Thermal Parameters Inversion Method for Concrete Dam Based on Optimal Temperature Measuring Point Selecting

Concrete thermal parameters in a natural pouring environment are essential inputs for simulating the temperature field of concrete dam. This paper proposes two-stage inversion method dam based on optimal measuring point selection to improve accuracy parameters. Firstly, is presented and response sensitivity points when disturb taken as critical evaluation index. And then, an model established support vector regression (SVR) particle swarm optimization (PSO). Finally, proposed applied parameter The results show that effective improving obtaining accurate average error SVR-PSO 28.54% lower than genetic algorithm using back propagation neural network (BPNN-GA). Besides that, measurement 35.57% nonoptimized ones.