Machine learning in coastal bridge hydrodynamics: a state-of-the-art review
Coastal bridges are vulnerable to complicated hydrodynamics induced by hostile natural
hazards, relevant research is thus required to ensure the safe operation of these critical …
hazards, relevant research is thus required to ensure the safe operation of these critical …
The application of soft computing models and empirical formulations for hydraulic structure scouring depth simulation: a comprehensive review, assessment and …
Prediction of scouring characteristics is one of the major issues in hydraulic and hydrology
engineering. Over the past five decades, numerous empirical formulations (EFs), based on …
engineering. Over the past five decades, numerous empirical formulations (EFs), based on …
Estimating equilibrium scour depth around non-circular bridge piers using interpretable hybrid machine learning models
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 …
losses and endangering public safety. Classic models struggle to accurately estimate …
Estimation and interpretation of equilibrium scour depth around circular bridge piers by using optimized XGBoost and SHAP
Most bridge failures result from scouring around bridge piers, resulting in economic losses
and risks to public safety. The conventional equations for predicting the depth of scour at …
and risks to public safety. The conventional equations for predicting the depth of scour at …
Open channel sluice gate scouring parameters prediction: different scenarios of dimensional and non-dimensional input parameters
The determination of scour characteristics in the downstream of sluice gate is highly
important for designing and protection of hydraulic structure. The applicability of modern …
important for designing and protection of hydraulic structure. The applicability of modern …
Application of nature-inspired optimization algorithms to ANFIS model to predict wave-induced scour depth around pipelines
A Sharafati, A Tafarojnoruz, D Motta… - Journal of …, 2020 - iwaponline.com
Wave-induced scour depth below pipelines is a physically complex phenomenon, whose
reliable prediction may be challenging for pipeline designers. This study shows the …
reliable prediction may be challenging for pipeline designers. This study shows the …
Improving one-dimensional pollution dispersion modeling in rivers using ANFIS and ANN-based GA optimized models
A Seifi, H Riahi-Madvar - Environmental Science and Pollution Research, 2019 - Springer
Simulation and prediction of the pollution transport is one of the major problems in
environmental and rivers engineering studies. The numerical tools have been used in …
environmental and rivers engineering studies. The numerical tools have been used in …
[PDF][PDF] Artificial neural network for estimation of local scour depth around bridge piers
Local scour around bridge piers impairs the stability of bridges' structures. Therefore, a
delicate estimation of the local scour depth is vital in designing the bridge piers foundations …
delicate estimation of the local scour depth is vital in designing the bridge piers foundations …
Prediction of local scour around bridge piers in the cohesive bed using support vector machines
SU Choi, S Choi - KSCE Journal of Civil Engineering, 2022 - Springer
Local scour around bridge piers is one of the most important factors threatening the life of
bridges. The three-dimensional highly complicated horseshoe vortex and downflow are …
bridges. The three-dimensional highly complicated horseshoe vortex and downflow are …
Estimation of local scour depth around twin piers using gene expression programming (local scour around twin piers)
The scour around the bridge piers has been estimated using conventional empirical
formulae; however, these formulae are unable to predict the scour depth precisely. The …
formulae; however, these formulae are unable to predict the scour depth precisely. The …