Domain decomposition optimizing method for numerical simulation of structure fire

Abstract

The invention provides a domain decomposition optimizing method for numerical simulation of structure fire. The method comprises the following steps: 1) constructing a building model, calculating an overall grid size of the building model according to a characteristic diameter of the flame and an empirical formula, and dividing the overall grid; 2) acquiring hardware configuration; 3) dividing the building model into sub-domains, of which the quantity is equal to the quantity of modes used in a cluster or the quantity of CPU used in a super computer, according to an influence factor of load balance; 4) verifying the load balance of each divided sub-domain; if balancing, allocating to a corresponding node and calculating; and if not, adopting a mode searching method for adjusting the volume of each sub-domain, wherein the node means the node used in the computer cluster or the usable CPU. According to the invention, the load balance of each computer node can be automatically detected and adjusted; the method is suitable for high-performance super computers and individual clusters; and the speed of numerical simulation is increased.

Description

technical field [0001] The invention relates to the technical field of building fire protection, in particular to an area decomposition optimization method for building fire numerical simulation. Background technique [0002] For the numerical simulation of building fires, due to the huge calculation space, the simulation time is long, which affects the research progress. The simulation time can be greatly shortened by using parallel computing. The basic idea of ​​parallel computing is to decompose a large-scale problem into several small parts, and each part is processed by different processors, and information is transferred between partitions. The improvement of parallel computing ability depends on the development of hardware technology on the one hand, and is closely related to the improvement of computing methods such as partitioning strategies on the other hand. For the numerical simulation of building fires, in addition to making the number of units in each sub-reg...

AI Technical Summary

Problems solved by technology

[0004] 1) The appropriate global grid seed size is not given, resulting in the simulation of a case often requiring multiple attempts, which greatly wastes time;

[0005] 2) Only the number of sub-region grids and communication time are considered, and the thermal coupling calculation load generated during the simulation process is ignored;

[0006] 3) Although FDS has the function of parallel computing, it does not provide the corresponding grid division and distribution method

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