A CNN deep learning approach to scour depth estimation around complex bridge piers in steady flow environments

A CNN deep learning approach to scour depth estimation around complex bridge piers in steady flow environments

Abstract Scour around complex bridge piers (CBP) caused by sediment erosion due to steady flow is a critical challenge in hydraulic engineering, often leading to structural instabilities and failures. The accurate estimation of maximum scour depth is crucial for ensuring bridge safety and optimizing...

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Bibliographic Details
Main Authors: Ngoc Thi Huynh, Anh Thu Thi Phan, Tan Tai Trieu, Ho-Hong-Duy Nguyen, Thanh Nhan Nguyen
Format: Article
Language:English
Published: SpringerOpen 2025-06-01
Series:Advances in Bridge Engineering
Subjects:
Complex bridge pier
1D CNN
LSTM
Maximum scour depth
Online Access:https://doi.org/10.1186/s43251-025-00170-8
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https://doi.org/10.1186/s43251-025-00170-8

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