基于沙猫群优化算法的拱坝热学参数反演分析

Inversion Analysis of Thermal Parameters of Arch Dam Based on Sand Cat Swarm Optimization Algorithm

在混凝土温度场计算中,热学参数对计算结果的准确性有着很大影响。为了得到更加符合现场实际情况的热学参数值,提出了一种基于沙猫群优化算法的拱坝热学参数反演方法。通过12种不同的测试函数,验证了沙猫群优化算法的性能相比于其他3种传统优化算法有着一定的优势。同时,考虑到环境温度变化和多级冷却通水的影响,应用沙猫群优化算法对白鹤滩拱坝混凝土浇筑仓热学参数进行了反演。通过反演结果证明了沙猫群优化算法应用到工程实践中的合理性和可靠性,可以满足实际工程的精度需求。

In the calculation of concrete temperature field,the thermal parameters have a great influence on the accuracy of calculation results.In order to obtain the thermal parameter values that are more in line with actual field conditions,a new inversion analysis method of thermal parameters of arch dam based on sand cat swarm optimization algorithm is proposed.Through twelve different test functions,it is verified that the performance of sand cat swarm optimization algorithm has certain advantages over other three traditional optimization algorithms.At the same time,the sand cat swarm optimization algorithm is applied to invert the thermal parameters of concrete pouring in Baihetan Arch Dam by taking into account the effects of ambient temperature variations and multi-stage cooling passages.The inversion results prove the rationality and reliability of sand cat swarm optimization algorithm applied to engineering practice,and that the accuracy of inversion analysis can meet the requirements of actual engineering.