Take a sneak peek at the new NIST.gov and let us know what you think!
(Please note: some content may not be complete on the beta site.).

View the beta site
NIST logo

Publication Citation: Hurricane Damage Prediction Model for Residential Structures

NIST Authors in Bold

Author(s): Emil Simiu; J P. Pinelli; C Subramanian; L. Zhang; A Cope; K Gurley; James J. Filliben; S Hamid;
Title: Hurricane Damage Prediction Model for Residential Structures
Published: November 01, 2004
Abstract: This 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, and their probabilities of occurrence as functions of wind speeds are estimated. Second, the damage modes are combined in possible damage states, whose probabilities of occurrence are calculated from the probabilities of the basic damage modes and estimated conditional probabilities as measures of the mutual dependence between those modes. 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, post-damage 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.
Conference: Journal of Structural Engineering
Proceedings: International Conference on Wind Engineering | 11th | | Wind Science and Engineering Research Center
Volume: 130
Issue: No. 11
Dates: June 2-5, 2003
Keywords: Building Technology,directionality (wind),extreme values,meteorology,structural engineering,wind
Research Areas: Building and Fire Research
PDF version: PDF Document Click here to retrieve PDF version of paper (165KB)