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Exploration And Application Of Generative Design Of Fire Protection System In The Renovation Of High-density Historical And Cultural Blocks

Posted on:2022-01-28Degree:MasterType:Thesis
Country:ChinaCandidate:Z Y HuFull Text:PDF
GTID:2492306740987819Subject:Architectural Design and Theory
Abstract/Summary:PDF Full Text Request
Historical and cultural blocks are precious and valuable heritages,but their high-density population and building distribution also bring great fire hazard.Therefore,in the renovation of highdensity historical and cultural blocks,the improvement of fire protection system is significant,including the design of fire passages and the layout design of fire hydrants.However,current fire codes are not fully applicable to the historical and cultural blocks,and an adaptive fire protection system should be designed according to the characteristics of the blocks.Previous researches on fire control system only pay attention to the rules,and the selection of fire passages and the layout design of fire hydrants rely on designers to constantly try and judge personally,which cannot be accurate,efficient and reasonable.The development of digital technology has brought new possibilities to solve this problem,and efficient and accurate algorithm has provided us with new methods and ideas.Based on Arc GIS platform and Java programming language,this paper provides faster and more rational methods and tools for the design of fire protection system in the renovation of high-density historical and cultural blocks with the help of A* algorithm and simple evolutionary algorithm.The experiment and verification are carried out on the Dongguan Historical and Cultural District in Yangzhou,and the direction of further optimization and improvement is proposed.It is expected that this result can be popularized in larger scale and more similar projects,and provide reference for designers in fire protection design of related renovation projects.
Keywords/Search Tags:Historical and cultural blocks, Fire protection system, Path finding algorithm, Simple evolutionary algorithm
PDF Full Text Request
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