Prediction of hydraulic jumps on a triangular bed roughness using numerical modeling and soft computing methods

M Dasineh, A Ghaderi, M Bagherzadeh, M Ahmadi… - Mathematics, 2021 - mdpi.com
This study investigates the characteristics of free and submerged hydraulic jumps on the
triangular bed roughness in various T/I ratios (ie, height and distance of roughness) using …

[HTML][HTML] Quantitative forecasting of bed sediment load in river engineering: an investigation into machine learning methodologies for complex phenomena

M Fuladipanah, HM Azamathulla, O Kisi… - Water …, 2024 - iwaponline.com
The intricate calculation of bed sediment load (BSL), which is influenced by hydraulic,
hydrological, and sedimentary factors, is vital for informed decision-making in water …

Numerical simulation and application of soft computing in estimating vertical drop energy dissipation with horizontal serrated edge

M Bagherzadeh, F Mousavi, M Manafpour… - Water …, 2022 - iwaponline.com
In the present study, FLOW-3D software was used to simulate energy dissipation by a
serrated-edge drop, downstream of this structure. For this purpose, 2, 3, and 4 serrations …

Application of soft computing techniques to estimate the scouring depth formed by crossing jets

R Mirzaee, M Mohammadi, SF Mousavi… - Water Science & …, 2023 - iwaponline.com
The scouring depth caused by the water jet outputs from a dam is one of the crucial
parameters for design purposes. Due to the importance of the subject, several laboratory …

[HTML][HTML] Application of GEP, M5-TREE, ANFIS, and MARS for predicting scour depth in live bed conditions around bridge piers

S Shalini, T Roshni - Journal of Soft Computing in Civil Engineering, 2023 - jsoftcivil.com
This paper presents the use of data-driven models, namely Gene expression programming
(GEP), M5 model tree (M5-TREE), Multivariate adaptive regression spline (MARS), and …

Predicting maximum scour depth uncertainty downstream of grade control structures: a multi-model approach with Bayesian model averaging

SM Seyedian, H Riahi-Madvar… - Journal of Applied …, 2024 - Taylor & Francis
This research proposes a novel multi-model combination approach to overcome the
limitations of traditional methods in predicting the scour depth downstream of grade control …

[PDF][PDF] Predicting the energy dissipation of a rough sudden expansion rectangular stilling basins using the SVM algorithm

R Daneshfaraz, E Aminvash, R Mirzaee… - Journal of Applied …, 2021 - arww.razi.ac.ir
In this research, the performance of support vector machine in predicting relativeenergy
dissipation in non-prismatic channel and rough bed with trapezoidalelements has been …

Estimation of the downstream scour depth of vertical drop using the support vector machine (SVM) algorithm

H Mohammadnezhad, M Mohammadi… - Civil Infrastructure …, 2023 - cer.qom.ac.ir
The downstream scour of the vertical drop can be one of the causes of instability and failure
of this structure. In the present study, the downstream scour depth of this structure predicted …

[HTML][HTML] Study of energy dissipation of gabion structure downstream of Ogee weir using laboratory and meta-model methods

M Majedi Asl, S Valizadeh… - Journal of …, 2021 - jhyd.iha.ir
Weirs are structures to provide the passage for excess water to flow from upstream to
downstream in flood conditions. Since the special geometry of ogee weir in terms of …

Analisis Perbandingan Algoritma C. 45 dan Support Vector Machine (SVM) untuk Klasifikasi Jurusan Siswa di SMA Negeri 15 Pekanbaru: Comparative Analysis Of C …

N Nazira, Q A'yuniyah, SKP Loka… - … Nasional Penelitian dan …, 2023 - journal.irpi.or.id
Peminatan jurusan merupakan suatu keputusan yang dilakukan oleh peserta didik baru
untuk memilih jurusan “IPA” dan “IPS” yang ada pada siswa. Salah satu sekolah menengah …