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Proceedings Paper

Fragility analysis of transportation networks
Author(s): Yuko Murachi; Michal J. Orikowski; Xuejiang Dong; Masanobu Shinozuka
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Paper Abstract

This paper describes a method of evaluating seismic system performance of transportation network. The results are shown to demonstrate post-earthquake traffic behavior in animation. This will assist emergency response professionals to gain pre-event insight for developing optimal emergency response strategy. The basic element that plays a crucial role here is the fragility information for highway bridges in Caltrans' Freeway network. The fragility information is expressed as a function of the ground motion intensity, such as peak ground acceleration (PGA) or peak ground velocity (PGV), and is obtained empirically on damage database associated with the 1994 Northridge earthquake. The PGA and PGV values for the bridges are acquired from the TriNet ShakeMap. In this paper, the bridges are classified into different groups according to their structural characters and soil conditions. Based on the information, the fragility curves for different levels of damage are developed with the aid of the maximum likelihood method. The fragility information thus developed is integrated into the Monte Carlo analysis involving traffic flows, and degradation of traffic capacity of Caltrans' network in Los Angeles and Orange County damaged by the Northridge earthquake is evaluated. Furthermore, the network analysis results on the basis of fragility curves based on PGA and PGV are compared. Finally, the simulation results are compared with the actual performance of Caltrans' network during the Northridge earthquake. This comparison shows that the seismic analysis based on the fragility information is very reasonable, and hence the animation of simulated traffic flow is quite useful.

Paper Details

Date Published: 18 August 2003
PDF: 9 pages
Proc. SPIE 5057, Smart Structures and Materials 2003: Smart Systems and Nondestructive Evaluation for Civil Infrastructures, (18 August 2003); doi: 10.1117/12.508501
Show Author Affiliations
Yuko Murachi, Univ. of California, Irvine (United States)
Michal J. Orikowski, Princeton Univ. (United States)
Xuejiang Dong, Univ. of California, Irvine (United States)
Masanobu Shinozuka, Univ. of California, Irvine (United States)

Published in SPIE Proceedings Vol. 5057:
Smart Structures and Materials 2003: Smart Systems and Nondestructive Evaluation for Civil Infrastructures
Shih-Chi Liu, Editor(s)

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