An approach for developing probabilistic models for temperature-dependent properties of construction materials from fire tests and small data

Karaki, Ghada; Naser, Mohannad Z.

doi:10.1002/fam.3116

An approach for developing probabilistic models for temperature-dependent properties of construction materials from fire tests and small data

Karaki, Ghada; Naser, Mohannad Z.

Authors

Ghada Karaki

Mohannad Z. Naser

Abstract

Probabilistic approaches provide a more realistic look into assessing structures under fire conditions and overcome some limitations observed in the more traditional (deterministic) approaches. These approaches have also been introduced to the fire engineering domain, for example, fire probabilistic risk analysis and probabilistic structural fire engineering. In order to perform probabilistic-based analysis, temperature-dependent probabilistic models for material properties are needed. This paper presents a methodology to develop temperature-dependent probabilistic models for the thermal and mechanical properties for commonly used construction materials, including normal-strength, high-strength, and high-performance concrete and mild, high-strength, and cold-formed steels. The presented approach analyzes a comprehensive list of surveyed experimental data at different temperature groups, tests the goodness of fit for a number of distributions, and derives a continuous function to quantify temperature-dependent parameters of the distribution. In addition, the newly derived models are also compared against those adopted by fire codes, and standards and others derived using machine learning. The newly developed models will complement existing efforts to facilitate probabilistic performance-based structural fire engineering.

Journal Article Type	Article
Acceptance Date	Oct 21, 2022
Online Publication Date	Nov 15, 2022
Deposit Date	Apr 24, 2023
Publicly Available Date	Nov 16, 2023
Journal	Fire and Materials
Print ISSN	0308-0501
Electronic ISSN	1099-1018
Publisher	Wiley
Peer Reviewed	Peer Reviewed
DOI	https://doi.org/10.1002/fam.3116
Keywords	Approach; fire; material properties; probabilistic models
Public URL	https://uwe-repository.worktribe.com/output/10586887
Publisher URL	https://onlinelibrary.wiley.com/doi/10.1002/fam.3116

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Copyright Statement
This is the peer reviewed version of the following article: ‘Karaki, G., & Naser, M. Z. (in press). An approach for developing probabilistic models for temperature-dependent properties of construction materials from fire tests and small data. Fire and Materials’, which has been published in final form at https://doi.org/10.1002/fam.3116.

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