Zoned Elasticity Modulus Inversion Analysis Method of a High Arch Dam Based on Unconstrained Lagrange Support Vector Regression
An inverse modeling process is proposed to estimate the actual elasticity modulus of a high arch dam based on unconstrained Lagrange support vector regression (ULSVR) and monitoring data.The proposed ULSVR eliminates the inequality and equality constraints to improve the iteration speed, especially for large repeated calculations, and the process takes advantage of the culture genetic algorithm(CGA) by importing the belief space, which utilizes social knowledge to guide the generations to accelerate the evolution speed.Then CGA is used to optimize the parameters of ULSVR and seek the optimal elasticity modulus combination.The inverse modeling procedure is successfully applied to optimize the zoned elasticity modulus of the Jinping high arch dam and foundation in its initial impound period.Inversion analysis shows that the actual modulus are larger than the experimental results,showing that the actual situation is safer than the design condition.
Inverse modeling unconstrained Lagrange support vector regression elasticity modulus high arch dam culture genetic algorithm
Chungao Liu Chongshi Gu Bo Chen
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai Univ.,Nanjing 210098, China
国内会议
成都
英文
660-680
2016-12-01（万方平台首次上网日期，不代表论文的发表时间）