Comparison of two approaches in reliability analysis for the network of trentino's bridge management system

Yan Chao Yue, Jian Xun Ma, Jian Gao, Daniele Zonta, Matteo Pozzi

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

The connectivity reliability of a network states the probability that the traffic can reach the destination from the origin. This paper is dedicated to find a reasonable and fast method to calculate connectivity reliability between any two nodes of a network. Monte Carlo simulation and ORDER algorithm are used and compared in getting the network connectivity reliability. The results show that ORDER algorithm can give more accurate bounds of connectivity reliability for network with high reliable components, while the computation time of Monte Carlo simulation is shorter than ORDER algorithm. Both approaches are applied to the network in the Bridge Management System in the Autonomous Province of Trento.

Original languageEnglish
Title of host publicationApplied Mechanics and Materials
Place of PublicationSwitzerland
Pages1700-1705
Number of pages6
Volume351-352
DOIs
Publication statusPublished - 31 Aug 2013
Event3rd International Conference on Civil Engineering, Architecture and Building Materials, CEABM 2013 - Jinan, China
Duration: 24 May 201326 May 2013

Publication series

NameApplied Mechanics and Materials
Volume351-352
ISSN (Print)16609336
ISSN (Electronic)16627482

Conference

Conference3rd International Conference on Civil Engineering, Architecture and Building Materials, CEABM 2013
CountryChina
CityJinan
Period24/05/1326/05/13

Keywords

  • bridge management system
  • connectivity reliability
  • monte carlo simulation
  • network
  • ORDER algorithm

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  • Cite this

    Yue, Y. C., Ma, J. X., Gao, J., Zonta, D., & Pozzi, M. (2013). Comparison of two approaches in reliability analysis for the network of trentino's bridge management system. In Applied Mechanics and Materials (Vol. 351-352, pp. 1700-1705). (Applied Mechanics and Materials; Vol. 351-352).. https://doi.org/10.4028/www.scientific.net/AMM.351-352.1700