Prediction of the dynamic pressure distribution in hydraulic structures using soft computing methods
Prediction of dynamic pressure distribution (P^* P∗) is a subject of great importance in the
design and operation of the hydraulic structures. Flip buckets, using as hydraulic structures …
design and operation of the hydraulic structures. Flip buckets, using as hydraulic structures …
[HTML][HTML] Modelamiento de procesos hidrológicos aplicando técnicas de inteligencia artificial: una revisión sistemática de la literatura
WF Rafael-Miñope, PVR Vilcherres-Lizárraga… - Iteckne, 2022 - scielo.org.co
El campo de la hidrología es una de las ciencias que se enfoca en el estudio, la
planificación y la cuantificación del recurso hídrico, generando una magnitud significativa …
planificación y la cuantificación del recurso hídrico, generando una magnitud significativa …
Developing a model for multi-objective optimization of open channels and labyrinth weirs: Theory and application in Isfahan Irrigation Networks
Finding an optimal design for hydraulic structures and devices, which work together in
irrigation networks, can be formulated as a multi-objective optimization problem. In this …
irrigation networks, can be formulated as a multi-objective optimization problem. In this …
Effect of T-shaped spur dike length on mean flow characteristics along a 180-degree sharp bend
An open channel flume with a central 180-degree bend with a rigid bed is designed to
obtain a better understanding of the complex flow pattern around a T-shaped spur dike …
obtain a better understanding of the complex flow pattern around a T-shaped spur dike …
Intelligent Navigation Decisions-Making in Curved Channels: Review and Challenges
J Lan, M Zheng, Z Wang, X Chu… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Due to the terrain and river characteristics, navigating in curved channels can be
challenging. The flow is often turbulent, and ships may face difficulty in maneuvering due to …
challenging. The flow is often turbulent, and ships may face difficulty in maneuvering due to …
Recognizing of the best different artificial intelligence method for determination of local scour depth around group piers in equilibrium time
A Adib, SH Tabatabaee, A Khademalrasoul… - Arabian Journal of …, 2020 - Springer
Unlike calculation of scour depth around of a single pier, estimation of scour depth around
group piers is a complex problem. In this research, four types of artificial neural networks …
group piers is a complex problem. In this research, four types of artificial neural networks …
Machine learning and parametrisation of multi-cell structures of secondary circulation in a tight open channel bend using LES
HK Schreiner, A Mohammadian… - … of Computational Fluid …, 2024 - Taylor & Francis
Large eddy simulations of an open channel bend are performed at a variety of water depths
and flow rates. The results at several cross sections are decomposed into sub-cells of …
and flow rates. The results at several cross sections are decomposed into sub-cells of …
Robust Process Parameter Design Methodology: A New Estimation Approach by Using Feed-Forward Neural Network Structures and Machine Learning Algorithms
TH Le, L Dai, H Jang, S Shin - Applied Sciences, 2022 - mdpi.com
In robust design (RD) modeling, the response surface methodology (RSM) based on the
least-squares method (LSM) is a useful statistical tool for estimating functional relationships …
least-squares method (LSM) is a useful statistical tool for estimating functional relationships …
Extreme wave height detection based on the meteorological data, using hybrid NOF-ELM method
K Mahmoodi, H Nowruzi - Ships and Offshore Structures, 2022 - Taylor & Francis
The realization of accurate extreme wave height occurrence prediction is essential for
offshore and onshore structures. In this paper, a new hybrid Natural Outlier Factor-Extreme …
offshore and onshore structures. In this paper, a new hybrid Natural Outlier Factor-Extreme …
Prediction of longitudinal and transverse profiles of pressure flushing cones using artificial intelligence and data pre-processing
One of the most critical issues in dam reservoir management is the determination of
sediment level after flushing operation. Artificial intelligence (AI) methods have recently …
sediment level after flushing operation. Artificial intelligence (AI) methods have recently …