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Optimization Inversion of the Micro-Properties of Bonded Particle Model in PFC Based on the Asynchronous Particle Swarm Algorithm

The calibration of micro-properties of bonded particle model (BPM) is usually artificially accomplished by the means of trial and error which has some intrinsic drawbacks such as high time consumption, arbitrariness, uncontrolled accuracy, etc. In order to overcome these shortcomings, the optimization inversion method based on the asynchronous particle swarm algorithm is proposed to estimate the micro-properties of BPM in PFC. The optimization model is firstly established by formulating the objective function and related constraint conditions, and then the procedure of optimization inversion is presented. Furthermore, a FORTRAN program called PIBPM is developed for the realization of the proposed method. The feasibility of the proposed method and the correctness of PIBPM are verified through an application example.