The invention provides a structural-dynamic-analysis explicit-different-step-length
parallel computing method. The method includes the four steps that (1) data files required by
parallel computing aregenerated with the partition multiple-node strategy; (2)
time step lengths of all partitions are selected according to partition unit characteristics to be subjected to explicit prediction step computing; (3) in small-step-length partitions, partition-inside and boundary-node data is solved through step-by-step decreasing of the explicit sub-cycle process, and in large-step-length partitions, inside and boundary-node data is solved through the main
time step length; (4) the boundary-node data required by paralleling is received by all the partitions, partition information is updated, strainsand stress are computed as required, and partition node data is output; if a main
time step is ended, the program is stopped, and if a main time step is not ended, the step (2) is newly carried out. According to the structural-dynamic-analysis explicit-different-step-length
parallel computing method, in the large-scale dynamic parallel analysis process, different time step lengths can be selectedaccording to the partition unit characteristics, partition different-step computing
coupling is achieved with the multiple-node strategy, and parallel efficiency is effectively improved.