Gooch, Lewis J., Stewart, Mark G., and Masia, Mark J. (2024) Accuracy of stochastic finite element analyses for the safety assessment of unreinforced masonry shear walls. Civil Engineering and Environmental Systems, 42 (2). pp. 95-124.

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Abstract

To examine structural safety and reliability, an accurate prediction of the variability of structural resistance must first be determined. This may be achieved through extensive physical testing or, more commonly in modern research, synthetic data generation, such as stochastic finite element analyses (SFEAs). Due to the prevalence and versatility of such techniques, and the need for a high level of confidence when performing a safety assessment, an understanding of the accuracy of data derived from SFEAs is essential. In this paper, SFEA models have been developed to predict the responses of 16 unreinforced masonry walls tested in a laboratory under cyclic in-plane lateral loading. Each SFEA has been developed to reflect the as-built conditions of these experimental specimens and focus on predicting the shear capacity of the failure mechanisms that unreinforced masonry shear walls are susceptible to. From the results of these SFEAs, the accuracy (quantified as model error) of this modelling strategy has been estimated by comparing the peak in-plane shear resistances of the laboratory and numerical models.

Item ID:	87635
Item Type:	Article (Research - C1)
ISSN:	1029-0249
Keywords:	Unreinforced masonry; shear walls; stochastic finite element analysis; spatial variability; model accuracy
Copyright Information:	© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
Funders:	Australian Research Council (ARC)
Projects and Grants:	ARC DP220102758
Date Deposited:	03 Sep 2025 00:18
FoR Codes:	40 ENGINEERING > 4005 Civil engineering > 400510 Structural engineering @ 100%
SEO Codes:	12 CONSTRUCTION > 1202 Construction design > 120201 Civil construction design @ 100%
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