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    Inclusion of Crawl Tests and Long-Term Health Monitoring in Bridge Serviceability Analysis 

    Source: Journal of Bridge Engineering:;2010:;Volume ( 015 ):;issue: 003
    Author(s): André D. Orcesi; Dan M. Frangopol
    Publisher: American Society of Civil Engineers
    Abstract: Due to limited resources, structural health monitoring (SHM) of highway bridges has to be integrated in structural performance assessment in a cost-effective manner. The instrumentation and the long-term SHM procedures are ...
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    Optimization of Maintenance Strategies for the Management of the National Bridge Stock in France 

    Source: Journal of Bridge Engineering:;2011:;Volume ( 016 ):;issue: 001
    Author(s): André Dominique Orcesi; Christian Francis Cremona
    Publisher: American Society of Civil Engineers
    Abstract: Maintenance and repair activities are crucial to prevent the deterioration of highway bridges and ensure users’ safety. In 2006, the French Ministry of Transportation initiated a survey to improve the maintenance strategies ...
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    Use of Lifetime Functions in the Optimization of Nondestructive Inspection Strategies for Bridges 

    Source: Journal of Structural Engineering:;2011:;Volume ( 137 ):;issue: 004
    Author(s): André D. Orcesi; Dan M. Frangopol
    Publisher: American Society of Civil Engineers
    Abstract: A model using lifetime functions is used to evaluate the probability of survival of bridge components. The possible outcomes associated with nondestructive inspections (NDIs) are incorporated in an event-tree model. Each ...
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    Bridge Performance Monitoring Based on Traffic Data 

    Source: Journal of Engineering Mechanics:;2013:;Volume ( 139 ):;issue: 011
    Author(s): André D.; Orcesi; Dan M.; Frangopol
    Publisher: American Society of Civil Engineers
    Abstract: There is a huge interest in developing new performance metrics, based on monitoring information and considering uncertainties in the resistance and loading effects, to be used by stakeholders when determining maintenance ...
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    Early Damage Detection Based on Pattern Recognition and Data Fusion 

    Source: Journal of Structural Engineering:;2017:;Volume ( 143 ):;issue: 002
    Author(s): João Pedro Santos; Christian Cremona; André D. Orcesi; Paulo Silveira
    Publisher: American Society of Civil Engineers
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    AK-SYS-t: New Time-Dependent Reliability Method Based on Kriging Metamodeling 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2021:;Volume ( 007 ):;issue: 004:;page 04021038-1
    Author(s): Morteza Ahmadivala; Cécile Mattrand; Nicolas Gayton; André Orcesi; Thierry Yalamas
    Publisher: ASCE
    Abstract: Computing the cumulative failure probability for a given period of time is the main goal of a time-dependent reliability analysis. Estimating this probability is challenging for problems with nonmonotonic performance ...
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    Machine Learning Models Applied to a GNSS Sensor Network for Automated Bridge Anomaly Detection 

    Source: Journal of Structural Engineering:;2022:;Volume ( 148 ):;issue: 011:;page 04022171
    Author(s): Nicolas Manzini; André Orcesi; Christian Thom; Marc-Antoine Brossault; Serge Botton; Miguel Ortiz; John Dumoulin
    Publisher: ASCE
    Abstract: Structural health monitoring (SHM) based on global navigation satellite systems (GNSS) is an interesting solution to provide absolute positions at different locations of a structure in a global reference frame. In particular, ...
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    DSpace software copyright © 2002-2015  DuraSpace
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