Login

Login
Welcome:
Guest

Search for:


Browse:

Bannner: Aslib individual membership.
 
Journal search
Journal cover: International Journal of Disaster Resilience in the Built Environment

International Journal of Disaster Resilience in the Built Environment

ISSN: 1759-5908

Online from: 2010

Subject Area: Built Environment

Content: Latest Issue | icon: RSS Latest Issue RSS | Previous Issues

Options: To add Favourites and Table of Contents Alerts please take a Emerald profile

Previous article.Icon: Print.Table of Contents.Next article.Icon: .

Vulnerability of rural houses to cyclonic wind


Document Information:
Title:Vulnerability of rural houses to cyclonic wind
Author(s):Pradeep K. Goyal, (Government Engineering College Ajmer, Ajmer, India), T.K. Datta, (Department of Civil Engineering, Indian Institute of Technology Delhi, Delhi, India), V.K. Vijay, (CRDT, Indian Institute of Technology Delhi, Delhi, India)
Citation:Pradeep K. Goyal, T.K. Datta, V.K. Vijay, (2012) "Vulnerability of rural houses to cyclonic wind", International Journal of Disaster Resilience in the Built Environment, Vol. 3 Iss: 1, pp.20 - 41
Keywords:Cyclones, Disaster mitigation, Fragility curves, Housing, India, Natural disasters, Rural areas, Vulnerability, Winds
Article type:Research paper
DOI:10.1108/17595901211201114 (Permanent URL)
Publisher:Emerald Group Publishing Limited
Abstract:

Purpose – The purpose of this paper is to present a method for evaluating vulnerability of rural houses to cyclonic wind for countries where systematic documentation and analysis of damage data are inadequate. The effects of important parameters such as the ratio of non-engineered to semi-engineered houses, types of houses like old, new, etc. wind speed and damage states on the overall probability of failure are investigated.

Design/methodology/approach – A systematic procedure is presented for estimating the vulnerability of a cluster of rural houses to cyclones by performing a fragility analysis for different predefined damage states. The method is illustrated with the help of an example in which a hundred rural houses are considered in a region.

Findings – The results of the study show that the ratio (ns) has significant effect on the probability of failure for the middle range of the percentile value. The number of different types of houses does not have significant effect on the probability of failure and for high value of ns, a large number of houses have nearly the same probability of failure.

Originality/value – The method is useful in finding an initial estimate of the overall probability of failure of a cluster of houses for different damage states and accordingly, in deciding the optimal allocation of resources for cyclone disaster mitigation.



Fulltext Options:

Login

Login

Existing customers: login
to access this document

Login


- Forgot password?

- Athens/Institutional login

Purchase

Purchase

Downloadable; Printable; Owned
HTML, PDF (281kb)Purchase

To purchase this item please login or register.

Login


- Forgot password?

Recommend to your librarian

Complete and print this form to request this document from your librarian


Marked list

Bookmark & share

Reprints & permissions

© Emerald Group Publishing Limited  |  Copyright information  |  Site policies  |  Cookie information
.