Data Set for Fire-Induced Collapse Test on an Existing Building with a Truss RoofSource: Journal of Structural Engineering:;2024:;Volume ( 150 ):;issue: 010::page 04724003-1Author: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
DOI: 10.1061/JSENDH.STENG-13689Publisher: American Society of Civil Engineers
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.
|
Collections
Show full item record
contributor author | Jinyu Li | |
contributor author | Shaojun Zhu | |
contributor author | Guo-Qiang Li | |
contributor author | Chao Zhang | |
contributor author | Bin Chen | |
contributor author | Nan Chen | |
contributor author | Xiaolin Yang | |
contributor author | Liming Jiang | |
contributor author | Jiazeng Shan | |
contributor author | Honghui Qi | |
contributor author | Wei Ji | |
contributor author | Yao Wang | |
date accessioned | 2024-12-24T10:04:47Z | |
date available | 2024-12-24T10:04:47Z | |
date copyright | 10/1/2024 12:00:00 AM | |
date issued | 2024 | |
identifier other | JSENDH.STENG-13689.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4298257 | |
description 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. | |
publisher | American Society of Civil Engineers | |
title | Data Set for Fire-Induced Collapse Test on an Existing Building with a Truss Roof | |
type | Journal Article | |
journal volume | 150 | |
journal issue | 10 | |
journal title | Journal of Structural Engineering | |
identifier doi | 10.1061/JSENDH.STENG-13689 | |
journal fristpage | 04724003-1 | |
journal lastpage | 04724003-11 | |
page | 11 | |
tree | Journal of Structural Engineering:;2024:;Volume ( 150 ):;issue: 010 | |
contenttype | Fulltext |