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Proceedings Paper

A framework for rapid post-earthquake assessment of bridges and restoration of transportation network functionality using structural health monitoring
Author(s): Piotr Omenzetter; Shahab Ramhormozian; Poonam Mangabhai; Ravikash Singh; Rolando Orense
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Paper Abstract

Quick and reliable assessment of the condition of bridges in a transportation network after an earthquake can greatly assist immediate post-disaster response and long-term recovery. However, experience shows that available resources, such as qualified inspectors and engineers, will typically be stretched for such tasks. Structural health monitoring (SHM) systems can therefore make a real difference in this context. SHM, however, needs to be deployed in a strategic manner and integrated into the overall disaster response plans and actions to maximize its benefits. This study presents, in its first part, a framework of how this can be achieved. Since it will not be feasible, or indeed necessary, to use SHM on every bridge, it is necessary to prioritize bridges within individual networks for SHM deployment. A methodology for such prioritization based on structural and geotechnical seismic risks affecting bridges and their importance within a network is proposed in the second part. An example using the methodology application to selected bridges in the medium-sized transportation network of Wellington, New Zealand is provided. The third part of the paper is concerned with using monitoring data for quick assessment of bridge condition and damage after an earthquake. Depending on the bridge risk profile, it is envisaged that data will be obtained from either local or national seismic monitoring arrays or SHM systems installed on bridges. A method using artificial neural networks is proposed for using data from a seismic array to infer key ground motion parameters at an arbitrary bridges site. The methodology is applied to seismic data collected in Christchurch, New Zealand. Finally, how such ground motion parameters can be used in bridge damage and condition assessment is outlined.

Paper Details

Date Published: 19 April 2013
PDF: 14 pages
Proc. SPIE 8692, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013, 86920J (19 April 2013); doi: 10.1117/12.2008875
Show Author Affiliations
Piotr Omenzetter, Univ. of Aberdeen (United Kingdom)
Shahab Ramhormozian, The Univ. of Auckland (New Zealand)
Poonam Mangabhai, Watercare (New Zealand)
Ravikash Singh, Beca (New Zealand)
Rolando Orense, The Univ. of Auckland (New Zealand)

Published in SPIE Proceedings Vol. 8692:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013
Jerome Peter Lynch; Chung-Bang Yun; Kon-Well Wang, Editor(s)

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