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结合粒子群算法和变尺度法的特点,充分考虑二者的互补性,提出一种改进粒子群优化算法,并将其运用于地下工程增量位移反分析中.根据围岩松动圈的形成特点,提出采用分区分块的方法模拟围岩松动圈的影响,各分区的岩体力学参数不同并作为待反演参数.此法是反分析中考虑围岩松动圈影响的一种新途径.通过某大型水电站工程地下厂房的实例进行验证,得到比较合理有效的结果,反演得到的物理力学参数可信,可用于后期预测.该研究为地下工程反分析提供了一些切实可行的方法和思路.
Combined with the characteristics of particle swarm optimization (PSO) and variable scale method, an improved particle swarm optimization (PSO) algorithm is proposed, which is based on the complementarity of the two, and applied to incremental displacement back analysis of underground engineering. , This paper proposes the method of subdivision block to simulate the influence of the loose ring of surrounding rock and the mechanical parameters of rock mass in each subarea are different and take the parameters to be inverted.This method is a new way to consider the influence of the loose ring of surrounding rock in the back analysis Some examples of the underground powerhouse of a large hydropower station project are validated to obtain more reasonable and effective results, and the physical and mechanical parameters obtained by the inversion are credible and can be used for the post-forecasting.The research provides some practical methods and ideas for the reverse engineering of underground engineering.