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Using Flow 3D Simulation, Multiple Nonlinear Regression Approach, and Artificial Neural Network Approach Approaches to Study the Behavior of Vertical Drop Structures Cover

Using Flow 3D Simulation, Multiple Nonlinear Regression Approach, and Artificial Neural Network Approach Approaches to Study the Behavior of Vertical Drop Structures

Civil and Environmental Engineering
Volume 20 (2024): Issue 2 (December 2024)
By: Hasan Al Shaikhli,  Sarah Hashim Mohammed and  Zainab Al-Khafaji  
Open Access
|Dec 2024

Authors

Hasan Al Shaikhli

e.hassanibraham@gmail.com

Civil Engineering Department, College of Engineering, University of Warith Al-Anbiyaa, Karbala, Iraq
Ministry of Environment, Environmental Protection and Improvement Directorate, Karbala, Iraq

Sarah Hashim Mohammed

Ministry of Environment, Environmental Protection and Improvement Directorate, Karbala, Iraq
Air Conditioning Engineering Department, Faculty of Engineering, Warith Al-Anbiyaa University, Iraq

Zainab Al-Khafaji

p123005@siswa.ukm.edu.my

New Era and Development in Civil Engineering Research Group, Scientific Research Center, Al-Ayen University, Thi-Qar, Iraq
Department of Civil Engineering, Universiti Kebangsaan, Selangor
DOI: https://doi.org/10.2478/cee-2024-0050 | Journal eISSN: 2199-6512 | Journal ISSN: 1336-5835
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Language: English
Page range: 654 - 683
Published on: Dec 17, 2024
Published by: University of Žilina
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Vertical Drop,
Numerical models,
CFD,
FLOW 3D,
MNLR,
ANN.
Related subjects:
Business and economics,
Political economics,
Economic theory, systems and structures,
Business management,
Industries,
Environmental management

© 2024 Hasan Al Shaikhli, Sarah Hashim Mohammed, Zainab Al-Khafaji, published by University of Žilina
This work is licensed under the Creative Commons Attribution 4.0 License.

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