Finite element two-stage partition and twice polycondensation parallel method based on multiple document flows

Abstract

The invention provides a element two-stage partition and twice polycondensation parallel method based on multiple document flows. The method includes the steps of firstly, dividing a finite element model into a plurality of initial sub-areas, and saving model information of each initial sub-area independently in a document; secondly, by each progress, simultaneously and independently forming a system equation of each sub-area, and performing polycondensation to remove internal freedom degree of each system equation; thirdly, by a local main process, forming packaging sub-area system equations, and performing polycondensation to remove internal freedom degree of each packaging sub-area system equation; fourthly, by the local main process, solving an interface equation, and solving the internal freedom degree of each packaging sub-area system equation by means of back substitution; fifthly, solving internal freedom degree of each initial sub-area according to results of the top packaging sub-areas by means of back substitution; terminating if iteration ends, or else starting again from the second step. On the basis of realizing distributed data storage, large-scale finite element parallel computing efficiency is increased by fully utilizing structural features of large-scale parallel computer systems by means of maximally realizing communication localization.

Description

Technical field [0001] The invention relates to a parallel finite element analysis method, in particular to a parallel method of finite element two-level partitioning and twice condensation based on multiple file streams. Background technique [0002] As a powerful tool for engineering numerical analysis, finite element method is widely used in aerospace, shipbuilding, machinery, construction and other departments. It has received more and more attention in engineering design and analysis, and has become a solution to complex engineering calculation problems. Effective Ways. However, for large-scale and complex systems, due to the huge scale of calculation and the complexity of the solution, it is difficult to overcome the problems of large memory space and long solution time using traditional serial finite element analysis methods. The use of parallel computers to research and develop corresponding parallel algorithms provides practical methods for solving such problems. [0003...

AI Technical Summary

Problems solved by technology

But this method is very limited in practical application. On the one hand, because the structure of multi-level sub-regions is quite complicated, parallel programming is difficult; on the other hand, the main reason is that this method does not fully consider the current large-scale The architectural characteristics of parallel computers lead to frequent and complex communications between different sub-regions at the same level and between different sub-regions at adjacent levels, and the resulting parallel computing efficiency is not ideal

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