Urban earthquake secondary fire simulation method and system

Abstract

The invention discloses a urban earthquake secondary fire simulation method and system, wherein the method comprises: establishing a multi-particle model of regional buildings according to building attribute data, and performing nonlinear time-procedure analysis on the multi-particle model of the regional buildings to obtain the destructive state of each building; calculating the fire probabilityof the building according to the destructive state of each building and a regression-restricted building fire model to obtain the number and the positions of fire buildings; according to a secondary fire spread physical model and the destructive state of each building, simulating a fire spread condition caused by the fire buildings, and obtaining a building indoor fire spread state and an inter-building fire spread state; performing rendering and flue gas treatment on the building indoor fire spread state and the inter-building fire spread state by fire scene rendering and large eddy simulation, and simulating a urban earthquake secondary fire through a preset three-dimensional model. The method can improve the accuracy of earthquake secondary fire simulation and realize the high-reality display of urban earthquake secondary fire.

Description

technical field [0001] The invention relates to the technical field of numerical simulation civil engineering, in particular to a method and system for simulating secondary fires caused by urban earthquakes. Background technique [0002] my country is an earthquake-prone country. The earthquake itself is not only very destructive, but also the secondary disasters it causes are also very serious. In particular, historical earthquake damage data in the 20th century show that fires secondary to earthquakes are secondary disasters that cause the most serious casualties. The consequences of secondary fires caused by earthquakes may even be more serious than those directly caused by earthquakes. For example, the 1906 San Francisco earthquake and the 1923 Tokyo, Japan earthquake caused the largest peacetime urban fires of the 20th century. Among them, the house damage caused by the secondary fire of the 1906 San Francisco earthquake accounted for 80% of the total damage, and the ...

AI Technical Summary

Problems solved by technology

Existing models still have some limitations: the fire regression model usually only gives the number of fires under a certain earthquake intensity, it is difficult to accurately determine the specific fire location, and there is also a lack of efficient and accurate methods for determining building earthquake damage; the fire propagation model Less consideration is given to the impact of house earthquake damage on fire spread

In terms of secondary fire visualization, exis

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