Machine Learning application in prediction of Scour around Bridge Piers: A Comprehensive review

F Rahman, R Chavan - Archives of Computational Methods in …, 2024 - Springer
Scour is one of the most difficult challenges faced by hydraulic engineers, which refers to the
erosion of sediments that surrounds hydraulic structures. In the past, scour prediction has …

Prediction of maximum scour depth at clear water conditions: Multivariate and robust comparative analysis between empirical equations and machine learning …

B Nandi, G Patel, S Das - Journal of Environmental Management, 2024 - Elsevier
Flow obstructed by bridge piers can increase sediment transport leading to local scour. This
local scour poses a risk to the stability of bridge structures, which could lead to structural …

Estimating equilibrium scour depth around non-circular bridge piers using interpretable hybrid machine learning models

N Eini, S Janizadeh, SM Bateni, C Jun, Y Kim - Ocean Engineering, 2024 - Elsevier
Scouring at bridge piers is a crucial issue that risks bridge collapses, causing economic
losses and endangering public safety. Classic models struggle to accurately estimate …

Predicting flow velocity in a vegetative alluvial channel using standalone and hybrid machine learning techniques

S Kumar, B Kumar, V Deshpande, M Agarwal - Expert Systems with …, 2023 - Elsevier
The presence of vegetation in the water bodies has a profound effect on the flow velocity in
an open channel due to the resistance offered by it. In rivers, estuaries, and coastal …

An in-depth comparative analysis of data-driven and classic regression models for scour depth prediction around cylindrical bridge piers

M Fuladipanah, MA Hazi, O Kisi - Applied Water Science, 2023 - Springer
The study focuses on the critical concern of designing secure and resilient bridge piers,
especially regarding scour phenomena. Traditional equations for estimating scour depth are …

Drying shrinkage and crack width prediction using machine learning in mortars containing different types of industrial by-product fine aggregates

A Ocak, G Bekdaş, Ü Işıkdağ, SM Nigdeli… - Journal of Building …, 2024 - Elsevier
Concrete is a material that loses water and changes shape while hardening due to its
structure. Over time, this water loss results in some shrinkage of the hardened concrete …

Modelling of clear water scour depth around bridge piers using M5 tree and ANN-PSO

A Kumar, A Baranwal, BS Das - AQUA—Water Infrastructure …, 2023 - iwaponline.com
Scouring refers to the process by which bed sediment in a river is eroded around the
periphery of a bridge abutment or pier. Many empirical models are available to estimate the …

Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches

S Kumar, G Oliveto, V Deshpande… - Journal of …, 2024 - iwaponline.com
Forecasting the time-dependent scour depth (dst) is very important for the protection of
bridge structures. Since scour is the result of a complicated interaction between structure …

Predicting Max Scour Depths near Two-Pier Groups Using Ensemble Machine-Learning Models and Visualizing Feature Importance with Partial Dependence Plots …

B Nandi, S Das - Journal of Computing in Civil Engineering, 2025 - ascelibrary.org
Assessing scour depth (S d) near side-by-side, tandem, and eccentric bridge piers is crucial
for designing resilient structures. Researchers employed soft computing techniques to …

[HTML][HTML] Influence of local scour on the dynamic response of bridges under barge collisions

Z Wang, Y Sha, JB Jakobsen - Engineering Structures, 2024 - Elsevier
The response assessment of bridges crossing navigable waterways under vessel collisions
is commonly conducted assuming intact bridge models. However, local scour may occur at …