Data Set for Fire-Induced Collapse Test on an Existing Building with a Truss Roof

Jinyu Li, Shaojun Zhu, Guo Qiang Li, Chao Zhang, Bin Chen, Nan Chen, Xiaolin Yang, Liming Jiang, Jiazeng Shan, Honghui Qi, Wei Ji, Yao Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

This paper presents a data set of a fire-induced collapse on an existing building with a truss roof. The data set contains the thermal and structural responses of the tested building, the mass loss of the fuel, the heat release rates, and the videos of the entire test. The test building and basic test scheme are introduced first. Then, the monitoring points and corresponding equipment are presented. All data obtained have been converted to a unified format and uploaded to a published data set. Detailed data formats and processing methods are introduced, and metadata are provided. To the authors' knowledge, this is the first open-access test data on fire-induced collapse of a real building, which is of great significance for further investigations on fire-induced building collapse and performance-based design for fire safety of buildings. This data set can be used to validate the existing temperature distribution models and develop deep-learning models in structural fire engineering. Moreover, the data set can validate and develop some cutting-edge theories and techniques in structural fire engineering, such as the approaches for the early-warning collapse of structures exposed to fire and the synchronous noncontact acquisition of structural deformation in fire.

Original languageEnglish
Article number04724003
JournalJournal of Structural Engineering (United States)
Volume150
Issue number10
DOIs
Publication statusPublished - 1 Oct 2024

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • General Materials Science
  • Mechanics of Materials
  • Mechanical Engineering

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