کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
307578 513378 2013 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Performance-Based Hurricane Engineering (PBHE) framework
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
پیش نمایش صفحه اول مقاله
Performance-Based Hurricane Engineering (PBHE) framework
چکیده انگلیسی


• A probabilistic Performance-Based Hurricane Engineering framework is proposed.
• The proposed PBHE framework is based on the total probability theorem.
• The PBHE methodology accounts for the multi-hazard nature of hurricanes.
• The PBHE framework is illustrated through the risk analysis for a building.
• Interaction between hazards affects the probability of exceedance of repair cost.

This paper presents an innovative fully-probabilistic Performance-Based Hurricane Engineering (PBHE) framework for risk assessment of structural systems located in hurricane-prone regions. The proposed methodology is based on the total probability theorem and disaggregates the risk assessment into elementary components, namely hazard analysis, structural characterization, environment–structure interaction analysis, structural analysis, damage analysis, and loss analysis. This methodology accounts for the multi-hazard nature of hurricane events by considering both the separate effects of and the interaction among hurricane wind, flood, windborne debris, and rainfall hazards. A discussion on the different sources of hazard is provided, and vectors of intensity measures for hazard analyses are proposed. Suggestions on the selection of appropriate parameters describing the interaction between the environmental actions and the structure, the structural response, and the resulting damage are also provided. The proposed PBHE framework is illustrated through an application example consisting of the performance assessment of a residential building subjected to windborne debris and hurricane strong winds. The PBHE framework introduced in this paper represents a step toward a rational methodology for probabilistic risk assessment and design of structures subjected to multi-hazard scenarios.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Structural Safety - Volume 45, November 2013, Pages 24–35
نویسندگان
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