In bridge engineering, machine learning (ML) and artificial intelligence (AI) have been employed to enhance the efficiency of the structural design phase, aid in the selection of optimal bridge types, produce cost estimates, conduct realtime structural health monitoring, predict structural response and deterioration, reconstruct data for comprehensive health assessment, and prioritize maintenance efforts. The TRB IDEA (Innovations Deserving Exploratory Analysis) Program’s NCHRP IDEA Final Report for Proj…
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