Data Set for Fire-Induced Collapse Test on an Existing Building with a Truss Roof
Publication: Journal of Structural Engineering
Volume 150, Issue 10
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.
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Data Availability Statement
Acknowledgments
The work presented in this paper was supported by Mr. Yongfeng Nie from the Hubei Fire Rescue Brigade and Mr. Qi Luo from the Yichang Fire Rescue Detachment. The authors gratefully acknowledge the financial support provided by the National Key Research and Development Program of China under Grant No. 2022YFC3801900, and the Shanghai Pujiang Program under Grant No. 22PJ1414000.
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Information & Authors
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Published In
Journal of Structural Engineering
Volume 150 • Issue 10 • October 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Jan 17, 2024
Accepted: May 6, 2024
Published online: Aug 6, 2024
Published in print: Oct 1, 2024
Discussion open until: Jan 6, 2025
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