Machine learning applied to the design and inspection of reinforced concrete bridges: Resilient methods and emerging applications
Abstract
Machine learning is one of the key pillars of industry 4.0 that has enabled rapid technological advancement through establishing complex connections among heterogeneous and highly complex engineering data automatically. Once the machine learning model is trained appropriately, it becomes able to effectively predict and make decisions. The technology is rapidly evolving and has found numerous applications in various branches of engineering due to...
Paper Details
Title
Machine learning applied to the design and inspection of reinforced concrete bridges: Resilient methods and emerging applications
Published Date
Oct 1, 2021
Journal
Volume
33
Pages
3954 - 3963
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Notes
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