摘要
基于监测数据的混凝土坝参数反演能够为评估大坝安全性态提供重要信息。传统的参数反演方法通常采用加权求和法以简化基于多种类型监测数据构建的多个目标函数,并结合单目标优化算法求解。由于权值的确定具有主观性以及单目标优化算法在实际应用中存在局限性,可能导致反演结果出现较大偏差。因此,考虑多种类型的监测数据以构建不同的目标函数,结合NSGA-Ⅱ算法搜寻Pareto最优解集,提出了一种基于PSO-BPNN模型和多目标优化的混凝土坝参数反演方法。研究成果依托于GD重力坝工程,并与传统参数反演方法进行了对比分析。应用表明,该方法对于混凝土坝参数反演更为合理和准确。
A back analysis of concrete dams can provide useful information for assessing the safety behavior of a dam. Traditional parameter inversion methods commonly use the weighted summation method to simplify the multi-objective functions established by combining various types of monitoring data and combining single-objective optimization algorithms to search for the optimal parameters. The subjective factor of determining the weights and the limitations of single-objective optimization algorithms in practical applications can lead to significant deviations in the inversion results. Therefore, this paper considers various types of monitoring data to construct different objective functions, combines NSGA-Ⅱ algorithm to search for Pareto optimal solutions, and proposes a concrete dam parameter inversion method based on the PSOBPNN model and multi-objective optimization. The research results are applied to the GD gravity dam and are compared and analyzed with the traditional back analysis method. The application shows that the method is more reasonable and accurate for the parameter inversion of concrete dams.
作者
黎维业
吴震宇
LI Wei-ye;WU Zhen-yu(State Key Laboratory of Hydraulics and Mountain River Engineering,College of Water Resources and Hydropower,Sichuan University,Chengdu 610065,Sichuan Province,China)
出处
《中国农村水利水电》
北大核心
2023年第3期229-234,共6页
China Rural Water and Hydropower
