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Integrating mechanistic and statistical deterioration models for effective bridge management

From National Research Council Canada

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Affiliation
  1. National Research Council of Canada. NRC Institute for Research in Construction
FormatText, Article
Conference7th ASCE International Conference on Applications of Advanced Technology in Transportation: 05 August 2002, Boston, MA., U.S.A.
SubjectBridges
Abstract
This paper presents a two-level approach for the maintenance management of aging highway bridges that integrates two different probabilistic deterioration prediction models. The level-1 management is based on Markovian cumulative damage models that predict the macro-response of bridge structures. The level-2 management is based on quantitative reliability-based mechanistic deterioration models that predict themicro-response of bridge structures. The level 1-management identifies the critically damaged structures and forecasts the overall deterioration and required maintenance funds for both short and long term planning for a bridge network or a bridge component. The level-2 management focuses on the critical structures that were identified from the level-1 management or from a specific condition assessment to evaluate their safety and serviceability, and optimize their maintenance. The proposed two-level approach to bridge maintenance management, which integrates two different probabilistic deterioration models, will help improve the effectiveness of maintenance management systems in satisfying the safety, serviceability, andbudgetary requirements of highway agencies.
Publication date
LanguageEnglish
Peer reviewedYes
NRC numberNRCC 45193
NRCC 14255
NPARC number20378869
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Record identifierdb204aee-6857-4dd9-af20-d271e4aca149
Record created2012-07-24
Record modified2020-03-30
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