Rheological inversion analysis of face rockfill dam based on improved particle swarm optimization algorithm
ZHU Sheng1，2，LU Deren1，2
(1. State Key Laboratory of Hydrology，Water Resources and Hydraulic Engineering，Hohai University，Nanjing，Jiangsu 210098，China；2. Institute of Water Conservancy and Hydropower Engineering，Hohai University，Nanjing，
Jiangsu 210098，China)
Abstract：To improve the performance of particle swarm optimization(PSO) in model parameter inversion，an improved PARTICLE swarm optimization(FPSO) algorithm is proposed. By using linear piecewise function and exponential function，the learning factors and are adjusted by asynchronous strategy to realize dynamic adjustment of inertia weight and and with the number of iterations. The particle diversity is guaranteed by the immune mutation operator and convergence rate is guaranteed by the formation search，which is applied to the parameter inversion analysis of the incremental rheological model of the Arts face dam. The results show that：(1) the FPSO algorithm can effectively improve the accuracy and efficiency of the inversion analysis because it better fits the motion characteristics of particle from the early high-speed global search to the late local fine search，and the global search ability is greatly improved. (2) By using the measured settlement of the dam during the downtime，the rheological parameters of the rockfill are inverted based on FPSO，and the calculated results are in good agreement with the monitored values.
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2022, Vol. 41 
