Browsing by Author "Shakouri, Behzad"

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Citation - WoS: 9
Citation - Scopus: 10
A collaborative numerical simulation-soft computing approach for earth dams first impoundment modeling
(ELSEVIER SCI LTD, 2023) Behzad Shakouri; Mirali Mohammadi; Mir Jafar Sadegh Safari; Mohammad Amin Hariri-Ardebili; Hariri-Ardebili, Mohammad Amin; Shakouri, Behzad; Safari, Mir Jafar Sadegh; Mohammadi, Mirali
Uncertainty quantification plays a crucial role in the design monitoring and risk assessment of earth dams. To reduce the computational burden we employ a combination of finite difference method and soft computing techniques to investigate material uncertainties in earth dams during the initial impoundment stage. The findings of sensitivity analysis with the Tornado diagram indicate that key material properties such as dry density elasticity modulus friction angle and Poisson's ratio significantly influence the displacements and stress analysis. In our study we explore four variants of extreme learning machines (ELMs): the standalone ELM hybridized versions with the improved grey wolf optimizer algorithm ant colony optimization for continuous domains and artificial bee colony. These methods are assessed across various training sizes to predict multiple parameters including horizontal and vertical displacements stresses and the factor of safety (FoS). The hybridized ELM with the improved grey wolf optimizer algorithm emerges as the superior choice for most of the response variables. A minimum of 200 numerical simulations is required to establish a stable and accurate meta-model with an average prediction error of less than 3% for responses and the FoS.
Citation - WoS: 6
Citation - Scopus: 7
Energy loss and contraction coefficients-based vertical sluice gate’s discharge coefficient under submerged flow using symbolic regression
(Springer Science and Business Media Deutschland GmbH, 2023) Behzad Shakouri; Imren Ismail; Mir Jafar Sadegh Safari; Ismail, Imren; Shakouri, Behzad; Safari, Mir Jafar Sadegh
Accurate calculation of discharge is a critical task in terms of environmental and operational regulations. In the current study a new approach for determining vertical sluice gates’ flow discharge with a minor bias is proposed. Energy-momentum equations are used to characterize the physical expression of the phenomena intended for generation of the coefficient of discharge. The coefficient of discharge is then expressed according to coefficients of energy loss and contraction. Following that the coefficient of discharge coefficient of contraction and coefficient of energy loss are calculated using an optimization approach. Then dimensional analysis is conducted and regression equations for quantifying the coefficient of energy loss is produced using symbolic regression method. The derived contraction coefficient and energy loss coefficient formulas are accordingly utilized to compute the coefficient of discharge in the vertical sluice gate and also to determine flow discharge. For computing discharge five different scenarios are considered. The developed approaches’ performance is examined against selected benchmarks from the literature. The results show that the symbolic regression method can compute discharge more accurate than its alternatives. © 2023 Elsevier B.V. All rights reserved.