Virtual modelling based fragility assessment of structures under bushfire propagation

Shi, Z; Feng, Y; Stewart, MG; Gao, W

Virtual modelling based fragility assessment of structures under bushfire propagation

Shi, Z Feng, Y Stewart, MG Gao, W

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Publisher:: ELSEVIER SCI LTD
Publication Type:: Journal Article
Citation:: Reliability Engineering and System Safety, 2024, 245
Issue Date:: 2024-05-01

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Field	Value	Language
dc.contributor.author	Shi, Z
dc.contributor.author	Feng, Y
dc.contributor.author	Stewart, MG
dc.contributor.author	Gao, W
dc.date.accessioned	2024-12-05T01:06:54Z
dc.date.available	2024-12-05T01:06:54Z
dc.date.issued	2024-05-01
dc.identifier.citation	Reliability Engineering and System Safety, 2024, 245
dc.identifier.issn	0951-8320
dc.identifier.issn	1879-0836
dc.identifier.uri	http://hdl.handle.net/10453/182355
dc.description.abstract	Driven by increased human activities in rural-urban interfaces, the construction of residential or commercial buildings in these areas is experiencing a notable growing trend. In comparison to those built in urban regions, these structures, constructed in rural-urban interfaces, are in closer proximity to natural vegetation, therefore facing a heightened bushfire risk. The timely execution of Structural Protection Plans (SPP) is of utmost importance in the case of bushfire threats, where a swift response within a short timeframe is necessary, considering the diverse fragility characteristics of structural components. To address this, the present study introduces a novel framework for assessing the fragility of typical residential structures under both low and high wind speed conditions, specifically focusing on three key structural components: window frames, walls, and roofs. The assessment of structural probability-based fragility is performed using the newly developed limit state function and takes into account the influence of multiple non-deterministic factors, including vegetative conditions, wind speed, different temperature thresholds of structural components, and fire response time. Furthermore, to enable rapid prediction of structural probability-based fragility on the fireground, a virtual modelling (VM) technique, named extended support vector regression (X-SVR), is introduced and incorporated into the proposed fragility assessment framework. The efficiency and accuracy of this virtual modelling technique in assessing the bushfire fragility of structures under different wind speed intervals have been investigated and validated through a comprehensive case study of a real Australian house. The proposed framework is poised to provide valuable insights into optimizing SPP by swiftly identifying the most fragile structural components in practice.
dc.language	English
dc.publisher	ELSEVIER SCI LTD
dc.relation	http://purl.org/au-research/grants/arc/IH200100010
dc.relation	http://purl.org/au-research/grants/arc/DP210101353
dc.relation	http://purl.org/au-research/grants/arc/DP240102559
dc.relation	http://purl.org/au-research/grants/arc/IH210100048
dc.relation.ispartof	Reliability Engineering and System Safety
dc.relation.isbasedon	10.1016/j.ress.2024.110000
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	01 Mathematical Sciences, 09 Engineering, 15 Commerce, Management, Tourism and Services
dc.subject.classification	Strategic, Defence & Security Studies
dc.subject.classification	35 Commerce, management, tourism and services
dc.subject.classification	40 Engineering
dc.subject.classification	49 Mathematical sciences
dc.title	Virtual modelling based fragility assessment of structures under bushfire propagation
dc.type	Journal Article
utslib.citation.volume	245
utslib.for	01 Mathematical Sciences
utslib.for	09 Engineering
utslib.for	15 Commerce, Management, Tourism and Services
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2024-12-05T01:06:51Z
pubs.publication-status	Published
pubs.volume	245

Abstract:

Driven by increased human activities in rural-urban interfaces, the construction of residential or commercial buildings in these areas is experiencing a notable growing trend. In comparison to those built in urban regions, these structures, constructed in rural-urban interfaces, are in closer proximity to natural vegetation, therefore facing a heightened bushfire risk. The timely execution of Structural Protection Plans (SPP) is of utmost importance in the case of bushfire threats, where a swift response within a short timeframe is necessary, considering the diverse fragility characteristics of structural components. To address this, the present study introduces a novel framework for assessing the fragility of typical residential structures under both low and high wind speed conditions, specifically focusing on three key structural components: window frames, walls, and roofs. The assessment of structural probability-based fragility is performed using the newly developed limit state function and takes into account the influence of multiple non-deterministic factors, including vegetative conditions, wind speed, different temperature thresholds of structural components, and fire response time. Furthermore, to enable rapid prediction of structural probability-based fragility on the fireground, a virtual modelling (VM) technique, named extended support vector regression (X-SVR), is introduced and incorporated into the proposed fragility assessment framework. The efficiency and accuracy of this virtual modelling technique in assessing the bushfire fragility of structures under different wind speed intervals have been investigated and validated through a comprehensive case study of a real Australian house. The proposed framework is poised to provide valuable insights into optimizing SPP by swiftly identifying the most fragile structural components in practice.

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http://hdl.handle.net/10453/182355