Work

Reduction of Large-scale Fire Damage by Segmentation of Fire Spread Network

Year: 2024

Type: article

Abstract: In densely built-up wooden residential areas, the potential for extensive fires in the event of a significant earthquake is considerable. Thus, there is an imperative to advocate for the reconstructing structures with enhanced fire resistance. This paper presents an approach aimed at mitigating fire-related damage by strategically targeting a limited number of buildings. Our method involves the segmentation of a large fire cluster—where multiple buildings are concurrently affected by fire propagation—by separating the fire spread network into some sub-networks. Subsequently, we validate the efficacy of this method through a series of fire spread simulations.

Source: Journal of Architecture and Planning (Transactions of AIJ)

DOI: 10.3130/aija.89.2413

Authors: Toshihiro OSARAGI, Noriaki HIROKAWA

Institution: Institute of Science Tokyo

Language: English

Topic: Fire dynamics and safety research

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: bronze

Funder: Japan Society for the Promotion of Science