Machine learning-based and interpretable models for predicting the resistance and probability of progressive collapse of steel frame-composite floor structures

Yuxu Guo; Bo Yang; Shagea Alqawzai; Kang Chen; Deyang Kong

doi:10.1016/j.engstruct.2025.120089

Machine learning-based and interpretable models for predicting the resistance and probability of progressive collapse of steel frame-composite floor structures

Yuxu Guo, Bo Yang^*, Shagea Alqawzai, Kang Chen, Deyang Kong

^*Corresponding author for this work

Department of Civil Engineering

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Engineering Structures
Volume	332
DOIs	https://doi.org/10.1016/j.engstruct.2025.120089
Publication status	Published - 17 Mar 2025

Access to Document

10.1016/j.engstruct.2025.120089

Cite this

@article{2eea2b4b63594670a07d82f19fe3c494,

title = "Machine learning-based and interpretable models for predicting the resistance and probability of progressive collapse of steel frame-composite floor structures",

author = "Yuxu Guo and Bo Yang and Shagea Alqawzai and Kang Chen and Deyang Kong",

year = "2025",

month = mar,

day = "17",

doi = "10.1016/j.engstruct.2025.120089",

language = "English",

volume = "332",

journal = "Engineering Structures",

issn = "0141-0296",

}

TY - JOUR

T1 - Machine learning-based and interpretable models for predicting the resistance and probability of progressive collapse of steel frame-composite floor structures

AU - Guo, Yuxu

AU - Yang, Bo

AU - Alqawzai, Shagea

AU - Chen, Kang

AU - Kong, Deyang

PY - 2025/3/17

Y1 - 2025/3/17

U2 - 10.1016/j.engstruct.2025.120089

DO - 10.1016/j.engstruct.2025.120089

M3 - Article

SN - 0141-0296

VL - 332

JO - Engineering Structures

JF - Engineering Structures

ER -