CFSPC Wall Fire Resistance Dataset
Published: 1 June 2026| Version 1 | DOI: 10.17632/kx4zb9fkfg.1
Contributors:
Nav Raj Bhatt, , , Description
This dataset contains FE simulation results for axially loaded concrete-filled steel plate composite (CFSPC) walls exposed to two-sided ISO 834 standard fire. The data were generated using a validated sequentially coupled thermo-mechanical model in Abaqus. The dataset includes key input parameters and fire resistance periods for CFSPC walls with varying wall thickness, core load ratio, slenderness ratio, concrete strength, steel strength and load eccentricity. It is intended to support research on CFSPC wall fire behaviour, numerical model validation and machine learning prediction of structural fire response.
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Institutions
- The University of MelbourneVictoria, Melbourne
Categories
Structural Engineering, Machine Learning, Fire Modeling, Wall (Structural Engineering)