Numerical Study of Fire-Induced Steel Frame Collapse: Validation of Experiments Using Static and Dynamic Methods

This paper presents a validated computational workflow for simulating the fire-induced collapse of steel moment-resisting frames, comparing static general and dynamic explicit analysis procedures. Whereas most existing studies employ dynamic explicit analysis for collapse validation, this work evaluates the capability of the static general approach as a viable alternative. Finite element models developed with beam and shell elements capture both global instability and local failure modes. The results show that the static general procedure effectively reproduces quasi-static post-buckling behaviour and predicts the critical failure temperature within 2–3% of experimental results, similar to the dynamic explicit method. For the dynamic explicit procedure, sensitivity analyses are conducted to optimise time scaling, mesh refining, and ensure realistic physical response while maintaining computational efficiency. The study demonstrates that, along with dynamic explicit analysis, static general procedure also offers a practical and reliable alternative for simulating fire-induced structural collapse, reducing computational time by up to eighteen times for beam models and around six times for shell models, while maintaining reliable accuracy.

Authors

Institutions

Publication Details

Journal
Fire
Published
2025-10-29
DOI
https://doi.org/10.3390/fire8110420
Primary Topic
Structural Response to Dynamic Loads
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical Study of Fire-Induced Steel Frame Collapse: Validation of Experiments Using Static and Dynamic Methods

Rabinder Kumar, Ali Nadjai, Naveed Alam
Fire
Structural Response to Dynamic Loads
article

Numerical Study of Fire-Induced Steel Frame Collapse: Validation of Experiments Using Static and Dynamic Methods

Rabinder Kumar, Ali Nadjai, Naveed Alam
article en

Abstract

This paper presents a validated computational workflow for simulating the fire-induced collapse of steel moment-resisting frames, comparing static general and dynamic explicit analysis procedures. Whereas most existing studies employ dynamic explicit analysis for collapse validation, this work evaluates the capability of the static general approach as a viable alternative. Finite element models developed with beam and shell elements capture both global instability and local failure modes. The results show that the static general procedure effectively reproduces quasi-static post-buckling behaviour and predicts the critical failure temperature within 2–3% of experimental results, similar to the dynamic explicit method. For the dynamic explicit procedure, sensitivity analyses are conducted to optimise time scaling, mesh refining, and ensure realistic physical response while maintaining computational efficiency. The study demonstrates that, along with dynamic explicit analysis, static general procedure also offers a practical and reliable alternative for simulating fire-induced structural collapse, reducing computational time by up to eighteen times for beam models and around six times for shell models, while maintaining reliable accuracy.

FireVol. 8(11)
University of Ulster (GB)
Ulster University
Openalex Percentile: Top 67%
Structural Response to Dynamic Loads
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Numerical Study of Fire-Induced Steel Frame Collapse: Validation of Experiments Using Static and Dynamic Methods — Rabinder Kumar, Ali Nadjai, et al. · Fire (2025) | TGRS Research Map | TGRS