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Application of Machine Learning Algorithms for Predicting Scour Depth Around Bridge Piers

Author(s): Farooque Rahman; Rutuja Chavan

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Keywords: Scour; Piers; Machine learning; Random forest; Data driven

Abstract: The prediction of scour depth around bridge foundations is a difficult task due to the complex processes and the involvement of a variety of uncertain factors, making it very difficult to obtain precise results using conventional models. Many experimental studies can be found in various literature (Chavan et al., 2022, Yang et al., 2020). However, breakthroughs in computer science have resulted in a paradigm change, preferring the use of artificial intelligence (AI).

DOI:

Year: 2025

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