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Hurricane Damage Prediction Model for Residential Structures.

Authors :
Pinelli, Jean-Paul
Simiu, Emil
Gurley, Kurt
Subramanian, Chelakara
Liang Zhang
Cope, Anne
Filliben, James J.
Hamid, Shahid
Source :
Journal of Structural Engineering. Nov2004, Vol. 130 Issue 11, p1685-1691. 7p.
Publication Year :
2004

Abstract

The paper reports progress in the development of a practical probabilistic model for the estimation of expected annual damage induced by hurricane winds in residential structures. The estimation of the damage is accomplished in several steps. First, basic damage modes for components of specific building types are defined. Second, the damage modes are combined in possible damage states, whose probabilities of occurrence are calculated as functions of wind speeds from Monte Carlo simulations conducted on engineering numerical models of typical houses. The paper describes the conceptual framework for the proposed model, and illustrates its application for a specific building type with hypothetical probabilistic input. Actual probabilistic input must be based on laboratory studies, postdamage surveys, insurance claims data, engineering analyses and judgment, and Monte Carlo simulation methods. The proposed component-based model is flexible and transparent. It is therefore capable of being readily scrutinized. The model can be used in conjunction with historical loss data, to which it can readily be calibrated. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07339445
Volume :
130
Issue :
11
Database :
Academic Search Index
Journal :
Journal of Structural Engineering
Publication Type :
Academic Journal
Accession number :
14739906
Full Text :
https://doi.org/10.1061/(ASCE)0733-9445(2004)130:11(1685)