@inproceedings{f8382888a5e44cf8b837dd31b4fcfa26,
title = "A stochastic method for condition rating of concrete bridges",
abstract = "Bridge condition rating is used to make important decisions regarding needs assessment and budget allocation. This study analyzes the use of the fuzzy logic approach to overcome uncertainty problems associated with the bridge condition assessment process. The analysis reveals a number of practical difficulties associated with the application of the fuzzy mathematics to develop an overall bridge condition rating. An alternative probabilistic methodology to rate the bridge elements taking into account the uncertainty issue is developed. The Analytic Hierarchy Process is adopted to evaluate the structural importance of the various bridge elements. A technique is proposed to aggregate the condition rating and the structural importance of the bridge elements into an overall bridge condition rating. The developed methodology uses the detailed visual inspection results to perform bridge condition rating and blends perfectly with the popular Markov chain approach to model deterioration.",
keywords = "Bridge, Concrete, Condition assessment, Fuzzy, Inspection, Monte carlo, Probabilistic",
author = "Dabous, {Abu S.} and S. Alkass",
year = "2010",
doi = "10.1061/41109(373)56",
language = "English",
isbn = "9780784411094",
series = "Construction Research Congress 2010: Innovation for Reshaping Construction Practice - Proceedings of the 2010 Construction Research Congress",
pages = "558--567",
booktitle = "Construction Research Congress 2010",
note = "Construction Research Congress 2010: Innovation for Reshaping Construction Practice ; Conference date: 08-05-2010 Through 10-05-2010",
}