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Network level deterioration modeling: A case study on masonry arch bridges

Imran Rafiq, M, Sathananthan, S and Chryssanthopoulos, MK (2010) Network level deterioration modeling: A case study on masonry arch bridges

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The development of a methodology to model network level bridge deterioration using a Bayesian Belief Network (BBN) is presented in this paper. BBN's are capable of handling complex relationships between elements (e.g. beams, columns, etc.) and the system (e.g. stock of bridges) by means of conditional probabilities specified on a fixed model structure. The advantages and limitations of BBN's for such applications are discussed. The application of the methodology is presented through a case study on a group of UK railway masonry arch bridges. The condition of elements within a selected sample of bridges is used as input in the BBN, together with a set of conditional probabilities based on inspection experience, to yield, in probabilistic terms, the overall condition of the bridge group. Sensitivity of various input parameters, as well as underlying assumptions, on group performance is investigated, which can help with the prioritization of assessment and maintenance intervention activities. © 2010 Taylor & Francis Group, London.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions : Surrey research (other units)
Authors :
Imran Rafiq, M
Sathananthan, S
Date : 2010
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:26
Last Modified : 23 Jan 2020 17:51

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