TECHNICAL PAPERS
Oct 15, 2004

Hurricane Damage Prediction Model for Residential Structures

Publication: Journal of Structural Engineering
Volume 130, Issue 11

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.

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Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 130Issue 11November 2004
Pages: 1685 - 1691

History

Published online: Oct 15, 2004
Published in print: Nov 2004

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Authors

Affiliations

Jean-Paul Pinelli
Associate Professor, Dept. of Civil Engineering, Florida Institute of Technology, 150 West Univ. Blvd., Melbourne, FL 32901-6975. E-mail: [email protected]
Emil Simiu
NIST Fellow, Building and Fire Research Laboratory, Building 226, Room B264, National Institute of Standard and Technology, Gaithersburg, MD 20899.
Kurt Gurley
Associate Professor, Dept. of Civil and Coastal Engineering, Univ. of Florida, P.O. Box 116580, Gainesville, FL 32611-6580. E-mail: [email protected]
Chelakara Subramanian
Associate Professor, Dept. of Mechanical and Aerospace Engineering, Florida Institute of Technology, 150 W. Univ. Blvd., Melbourne, FL 32901. E-mail: [email protected]
Liang Zhang
Graduate Research Assistant, Dept. of Civil Engineering, Florida Institute of Technology, 150 West Univ. Blvd., Melbourne, FL 32901-6975. E-mail: [email protected]
Anne Cope
Graduate Research Assistant, Dept. of Civil and Coastal Engineering, Univ. of Florida, P.O. Box 116580, 124 Yon Hall, Gainesville, FL 32611-6580. E-mail: [email protected]
James J. Filliben
Group Leader, Statistical Engineering Division, Information Technology Laboratory, NIST North, Room 353, National Institute of Standard and Technology, Gaithersburg, MD 20899-0001.
Shahid Hamid
Associate Professor, Dept. of Finance, Florida International Univ., Miami, FL 33199.

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