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    Journal of Computing in Civil Engineering

    EISSN: 1943-5487
    ISSN: 0887-3801
    Priority: 6
    Publisher: American Society of Civil Engineers
    Description: The Journal of Computing in Civil Engineering serves as a resource to researchers, practitioners, and students on advances and innovative ideas in computing as applicable to the engineering profession. Many such ideas emerge from recent developments More ...

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    Computational Platform for Predicting Lifetime System Reliability Profiles for Different Structure Types in a Network 

    Source: Journal of Computing in Civil Engineering:;2004:;Volume ( 018 ):;issue: 002
    Author(s): Ferhat Akgül; Dan M. Frangopol
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents a computational platform for predicting the lifetime system reliability profiles for different structure types located in an existing network. The computational platform has the capability to incorporate ...
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    Reliability-Based Life-Cycle Management of Highway Bridges 

    Source: Journal of Computing in Civil Engineering:;2001:;Volume ( 015 ):;issue: 001
    Author(s): Dan M. Frangopol; Jung S. Kong; Emhaidy S. Gharaibeh
    Publisher: American Society of Civil Engineers
    Abstract: The objective of bridge management is to allocate and use the limited resources to balance lifetime reliability and life-cycle cost in an optimal manner. As the 20th century has drawn to a close, it is appropriate to reflect ...
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    Advanced Modeling for Efficient Computation of Life-Cycle Performance Prediction and Service-Life Estimation of Bridges 

    Source: Journal of Computing in Civil Engineering:;2010:;Volume ( 024 ):;issue: 006
    Author(s): Nader M. Okasha; Dan M. Frangopol
    Publisher: American Society of Civil Engineers
    Abstract: The rapid progress in computational hardware and software has brought about advanced capabilities enabling more accurate modeling of structures and better understanding of their lifetime behavior. Unfortunately, research ...
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    A Decision-Making Framework for Load Rating Planning of Aging Bridges Using Deep Reinforcement Learning 

    Source: Journal of Computing in Civil Engineering:;2021:;Volume ( 035 ):;issue: 006:;page 04021024-1
    Author(s): Minghui Cheng; Dan M. Frangopol
    Publisher: ASCE
    Abstract: Load rating is gaining popularity as a method for inspecting the structural performance of aging bridges and determining maintenance actions. Cost-effective condition-based strategies have been developed in previous studies ...
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