- Title
- Wind and rain losses for metal-roofed contemporary houses subjected to non-cyclonic windstorms
- Creator
- Qin, Hao; Stewart, Mark G.
- Relation
- Structural Safety Vol. 86, Issue September 2020, no. 101979
- Publisher Link
- http://dx.doi.org/10.1016/j.strusafe.2020.101979
- Publisher
- Elsevier
- Resource Type
- journal article
- Date
- 2020
- Description
- Severe windstorms cause millions in losses annually for housing in Southeast Australia that has more than half of Australia's population. The risk assessment for housing in these non-cyclonic regions is the key to assessing the cost-effectiveness of relevant wind mitigation measures to reduce economic losses. This study develops a probabilistic risk assessment framework to evaluate the wind and rain losses for new Australian contemporary houses correctly built and inspected to current standards that are subjected to non-cyclonic windstorms, which integrates the hazard modelling for extreme wind and associated rainfall, reliability-based wind damage assessment, rainwater intrusion evaluation and economic loss modelling. The risk analysis was conducted for metal-roofed contemporary houses in Brisbane and Melbourne, and the efficacy of the proposed risk assessment framework was demonstrated by comparing with inferred insurance loss data. It was found that rainwater damage to building interior and contents is the major contributor to annual expected economic losses associated with windstorms, whereas wind damage to roof cladding and windows comprises a small portion of annual losses. Preliminary model outputs also indicate that houses in Brisbane are generally subject to more losses than houses in Melbourne. However, modelling assumptions that lead to these results have yet been fully validated.
- Subject
- houses; non-cyclonic windstorms; wind and rainfall hazard; economic losses; probabilistic risk assessment; rainwater intrusion
- Identifier
- http://hdl.handle.net/1959.13/1416279
- Identifier
- uon:37023
- Identifier
- ISSN:0167-4730
- Language
- eng
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