摘要
土石坝安全评价是大坝运行安全管理中的重要工作 ,而大坝的安全评价需要以运行期间的观测资料为基础 .尝试把遗传优化算法应用到土石坝土料的参数反演中 ,针对土石坝观测资料的特点 ,建立了适合于土石坝土料参数反演的优化模型 ,在此基础上编制了基于遗传算法的优化程序EDBAGA ,形成了土石坝土料参数反演的通用程序 ,并进行了工程实例的反分析 .此外 ,对观测值数目对反演结果的影响以及如何提高反演结果可信度等问题作了初步讨论 ,并提出了补偿观测信息量的多断面分析法 .
Dam safety evaluation of the embankment dam is very important in the dam operation and its management, and its safety evaluation must be based on the observation data during its operation. The genetic algorithm is applied to parameters back analysis of the soils in the dam body. According to the charactors of the embankment dam observation data, a method which is suitable to the back analysis of the soil dam is supposed, and a computer program EDBAGA based on optimatical genetic algorithm is developed. The application of EDBAGA on Baiguishan dam shows that the accuracy of the back analysis is affected by observation data number and a multi-section analysis method is suggested to compensate the deficiency of the observation data.
出处
《华北水利水电学院学报》
2001年第3期94-98,共5页
North China Institute of Water Conservancy and Hydroelectric Power
基金
教育部高等学校骨干教师资助项目 (2 0 0 0年 )
河南省科技厅基础研究项目 (0 0 40 416 0 0 )
关键词
土石坝
安全评价
反分析
遗传算法
观测资料
embankment dam
safety evaluation
back analysis
genetic algorithm
observation data
