TY - JOUR
T1 - Data Set for Fire-Induced Collapse Test on an Existing Building with a Truss Roof
AU - Li, Jinyu
AU - Zhu, Shaojun
AU - Li, Guo Qiang
AU - Zhang, Chao
AU - Chen, Bin
AU - Chen, Nan
AU - Yang, Xiaolin
AU - Jiang, Liming
AU - Shan, Jiazeng
AU - Qi, Honghui
AU - Ji, Wei
AU - Wang, Yao
N1 - Publisher Copyright:
© 2024 American Society of Civil Engineers.
PY - 2024/10/1
Y1 - 2024/10/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85200686909&partnerID=8YFLogxK
U2 - 10.1061/JSENDH.STENG-13689
DO - 10.1061/JSENDH.STENG-13689
M3 - Journal article
AN - SCOPUS:85200686909
SN - 0733-9445
VL - 150
JO - Journal of Structural Engineering (United States)
JF - Journal of Structural Engineering (United States)
IS - 10
M1 - 04724003
ER -