A Novel Decision Support System for Long-Term Management of Bridge Networks
نویسندگان
چکیده
Developing a bridge management strategy at the network level with efficient use of capital is very important for optimal infrastructure remediation. This paper introduces novel decision support system that considers many aspects and successfully implements investigated methodology in web-based platform. The proposed uses advanced prediction models, trees, incremental machine learning algorithms to generate an strategy. aims achieve adaptive flexible making while entailing powerful utilization nondestructive evaluation (NDE) methods. NDE data integration visualization allow automatic retrieval inspection results overlaying defects on 3D model. Furthermore, deep learning-based damage growth model estimates future condition elements utilizes this information decision-making process. ranking takes into account wide range factors including structural safety, serviceability, rehabilitation cost, life cycle societal political maintenance strategies multiple alternatives. study bring complementary solution currently in-use systems machine-learning models still equipped main functions capable transferring other systems.
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2021
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app11135928