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  • 标题:Projecting Catastrophic Losses In A Multi-Hazard Environment
  • 本地全文:下载
  • 作者:Guillermo M. Gerbaudo ; Ali Saffar
  • 期刊名称:Mecánica Computacional
  • 印刷版ISSN:2591-3522
  • 出版年度:2008
  • 期号:30
  • 页码:2549-2564
  • 语种:English
  • 出版社:CIMEC-INTEC-CONICET-UNL
  • 摘要:Event-based scenarios present a valuable tool in calibrating and refining all elements of loss estimation and visualization. The visualization concept is especially important to the decision makers, affording them an understanding of inventory, hazard, and vulnerability functions. Using the city of Mayaguez in the western part of Puerto Rico as a test bed, building inventories are developed to represent some 33 urbanizations and more than 60 years of construction. Assimilating the outcome from the analysis tools, retrofitting measures, and uncertainty modeling, seismic and hurricane wind fragilities are quantified. Long term projections based on the maximum probable loss analysis are also reported. The changes in existing vulnerability functions are examined to reflect differences in the building types and construction practice.
  • 其他摘要:Event-based scenarios present a valuable tool in calibrating and refining all elements of loss estimation and visualization. The visualization concept is especially important to the decision makers, affording them an understanding of inventory, hazard, and vulnerability functions. Using the city of Mayaguez in the western part of Puerto Rico as a test bed, building inventories are developed to represent some 33 urbanizations and more than 60 years of construction. Assimilating the outcome from the analysis tools, retrofitting measures, and uncertainty modeling, seismic and hurricane wind fragilities are quantified. Long term projections based on the maximum probable loss analysis are also reported. The changes in existing vulnerability functions are examined to reflect differences in the building types and construction practice.
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