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    Artificial Neural Network Model of Bridge Deterioration 

    Source: Journal of Performance of Constructed Facilities:;2010:;Volume ( 024 ):;issue: 006
    Author(s): Ying-Hua Huang
    Publisher: American Society of Civil Engineers
    Abstract: Accurate prediction of bridge condition is essential for the planning of maintenance, repair, and rehabilitation. An examination of the assumptions (for example, maintenance independency) of the existing Markovian model ...
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    Analysis of Life-Cycle Maintenance Strategies for Concrete Bridge Decks 

    Source: Journal of Bridge Engineering:;2004:;Volume ( 009 ):;issue: 003
    Author(s): Ying-Hua Huang; Teresa M. Adams; José A. Pincheira
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents the development of a project-level decision support tool for ranking maintenance scenarios for concrete bridge decks deteriorated as a result of chloride-induced corrosion. The approach is based on a ...
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