Review of hydraulic bridge failures: Historical statistic analysis, failure modes, and prediction methods
Hydraulic factors have become the principal causes of bridge failures since the 1990s. They
account for around 50% of bridge failures in the database constructed by the present …
account for around 50% of bridge failures in the database constructed by the present …
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 …
[图书][B] Hydraulic structures
P Novak, AIB Moffat, C Nalluri, R Narayanan - 2017 - api.taylorfrancis.com
Now includes Worked Examples for lectutrers in a companion pdf! The fourth edition of this
volume presents design principles and practical guidance for key hydraulic structures. Fully …
volume presents design principles and practical guidance for key hydraulic structures. Fully …
The effect of rough rigid apron on scour downstream of sluice gates
Presented in this paper is an experimental study on scour downstream of rough and smooth
stiff aprons under the influence of wall jets. The effect of various parameters on asymptotic …
stiff aprons under the influence of wall jets. The effect of various parameters on asymptotic …
Simulation of the depth scouring downstream sluice gate: The validation of newly developed data-intelligent models
Sluice gate is a common tool to regulate water conveyance systems like irrigation channels
or pipelines. The interaction between the flow and sediment particles downstream of the …
or pipelines. The interaction between the flow and sediment particles downstream of the …
Application of improved neuro-fuzzy GMDH to predict scour depth at sluice gates
M Najafzadeh, SY Lim - Earth Science Informatics, 2015 - Springer
An improved neuro-fuzzy based group method of data handling using the particle swarm
optimization (NF-GMDH-PSO) is developed as an adaptive learning network to predict the …
optimization (NF-GMDH-PSO) is developed as an adaptive learning network to predict the …
Benchmarking the performance and uncertainty of machine learning models in estimating scour depth at sluice outlets
This study investigates the performance of six machine learning (ML) models–Random
Forest (RF), Adaptive Boosting (ADA), CatBoost (CAT), Support Vector Machine (SVM) …
Forest (RF), Adaptive Boosting (ADA), CatBoost (CAT), Support Vector Machine (SVM) …
Temporal evolution of jet induced scour depth in cohesionless granular beds and the phenomenological theory of turbulence
In this work, we investigate the temporal evolution of the jet-driven scour depth in a pothole
lying on a cohesionless granular bed by using diverse approaches. First, we present new …
lying on a cohesionless granular bed by using diverse approaches. First, we present new …
Reduction of local scour around a circular bridge pier using the collars and sacrificial piles in non-uniform sediment
In the present study, circular and octagonal collars together with sacrificial piles are tested
for their efficiency as protection devices against local scour in the non-uniform sand bed of …
for their efficiency as protection devices against local scour in the non-uniform sand bed of …
Prediction of local scour depth downstream of sluice gates using data-driven models
M Najafzadeh, A Tafarojnoruz… - ISH Journal of Hydraulic …, 2017 - Taylor & Francis
Numerous investigations have already been conducted to characterize the effects of
influencing parameters on scouring process in order to derive an accurate predictive …
influencing parameters on scouring process in order to derive an accurate predictive …