Article
Engineering, Civil
Mostafa Rahmanshahi, Jafar Jafari-Asl, Mahmood Shafai Bejestan, Seyedali Mirjalili
Summary: This study proposes a novel metaheuristic-based artificial intelligence framework for predicting energy dissipation on block ramp structures. The hybrid ANFIS-IAVOA model shows higher efficiency compared to other models. This research is important for further probabilistic assessment of block ramp hydraulic structures.
WATER RESOURCES MANAGEMENT
(2023)
Article
Engineering, Civil
Muhammad Iftikhar Faraz, Siyab Ul Arifeen, Muhammad Nasir Amin, Afnan Nafees, Fadi Althoey, Akbar Niaz
Summary: Due to the harmful environmental consequences and high cost of cement formation, research focuses on reducing the environmental impact and expense of cement containing products. Understanding the mechanical characteristics of cement additive/replacement products such as metakaolin is crucial, and developing predictive machine learning models is becoming increasingly important as ecological concerns grow. This study examines machine learning methods, such as gene expression programming (GEP) and multigene expression programming (MEP), for forecasting the compressive strength of concrete containing metakaolin. The research findings highlight the effectiveness of MEP as the optimal ML algorithm for predicting the compressive strength of metakaolin-based concrete.
Article
Engineering, Geological
Xinhua Xue, Xiaojie Yuan, Li Tao
Summary: In this study, gene expression programming (GEP) was used to establish the relationship between the capacity energy required to trigger sand liquefaction and several major parameters. The GEP model showed higher accuracy and better performance compared to existing models, as confirmed by experimental data.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2024)
Article
Computer Science, Information Systems
Masood Nekoei, Seyed Amirhossein Moghaddas, Emadaldin Mohammadi Golafshani, Amir H. Gandomi
Summary: In the field of artificial intelligence automatic programming, artificial bee colony expression programming (ABCEP) presents new solutions by using expression sharing to improve performance. Experimental results indicate that predictions generated by ABCEP outperform other automatic programming algorithms based on successful runs, mean fitness values, and convergence rate.
INFORMATION SCIENCES
(2021)
Article
Construction & Building Technology
Kashif Nazir, Shazim Ali Memon, Assemgul Saurbayeva, Abrar Ahmad
Summary: Developing energy-efficient buildings by considering early-stage design parameters can reduce energy consumption. Machine learning tools are increasingly used to forecast energy demand, improving building energy efficiency. This research utilized genetic expression programming to predict the energy consumption of PCM-integrated buildings, and identified influential design parameters.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Automation & Control Systems
Noa Zargari, Ron Ofir, Nilanjan Roy Chowdhury, Juri Belikov, Yoash Levron
Summary: This paper proposes an optimal control method for storage systems affected by the power grid's ramp constraints. By applying an ongoing trimming process, the number of computations is reduced, resulting in a lower computational burden and improved efficiency.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2023)
Article
Polymer Science
Suhail K. Siddique, Hassan Sadek, Tsung-Lun Lee, Cheng-Yuan Tsai, Shou-Yi Chang, Hsin-Hsien Tsai, Te-Shun Lin, Gkreti-Maria Manesi, Apostolos Avgeropoulos, Rong-Ming Ho
Summary: This study successfully fabricates well-ordered nanonetwork epoxy resin modified with a block copolymer for enhanced energy dissipation. The enhanced properties are attributed to the deliberate structure with well-ordered nanonetwork texture and the toughening of the copolymer-based modifiers at the molecular level.
Article
Astronomy & Astrophysics
Hao Zhang, Lorenzo Sironi, Dimitrios Giannios
Summary: By conducting large-scale 3D simulations of magnetic reconnection in pair plasmas, researchers have identified a unique acceleration mechanism that only operates in 3D. The particles with high gamma values in 3D can escape from plasmoids along the z-direction and experience large-scale fields upstream, resulting in a hard spectrum and potentially serving as a mechanism for generating ultra-high-energy cosmic rays in relativistic reconnection scenarios such as gamma-ray bursts and active galactic nuclei jets.
ASTROPHYSICAL JOURNAL
(2021)
Article
Energy & Fuels
Arzu Sencan Sahin, Tugba Kovaci, Erkan Dikmen
Summary: The research used gene expression programming (GEP) to determine the coefficient of performance (COP) and exergy efficiency of the LiCl-H2O absorption system, finding that the results of the GEP model aligned with those obtained with the EES software. This new approach can help save time and effort in analyzing absorption cooling systems.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2021)
Article
Engineering, Environmental
Kang Peng, Yunqiang Wang, Quanle Zou, Yanying Cheng, Xiao Song
Summary: This study investigated the effects of different loading modes on cracked sandstone, finding that cyclic loading increased deformation modulus compared to uniaxial compression. The dissipated energy densities of the samples increased differently under increasing and constant lower stress limit cyclic loading. The study also defined crack types and found that cyclic loading led to more cracks and surface spalling compared to uniaxial compression.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2021)
Article
Environmental Sciences
Yu Tian, Yongye Li, Xihuan Sun
Summary: The trapezoidal energy dissipation baffle block-step combination energy dissipator improves air entrainment characteristics and energy dissipation, reducing the impact of cavitation. It is effective in reducing cavitation hazard and improving energy dissipation, providing a reference for engineering design.
Article
Engineering, Chemical
J. Munoz-Camara, J. P. Solano, J. Perez-Garcia
Summary: An experimental study characterizes the pressure drop and power consumption in Oscillatory Baffled Reactors using dimensionless numbers. The results demonstrate the limitations of conventional models and provide new correlations based on the experimental data.
CHEMICAL ENGINEERING SCIENCE
(2022)
Article
Engineering, Multidisciplinary
Moeen Taj, T. Salahuddin
Summary: The main objective of this research is to investigate the influence of viscous dissipation and nonlinear radiation on three-dimensional (3D) Williamson fluid flow in an exponentially stretching porous medium, considering the effect of activation energy and chemical reaction. By transforming the nonlinear partial differential equations (PDEs) into nonlinear ordinary differential equations (ODEs), numerical solutions are obtained using the Range-Kutta method with the shooting technique in Matlab. Graphical representations are used to comprehensively analyze the characteristics of the physical parameters in the model, such as the Weissenberg number, Prandtl number, nonlinear radiation parameter, porosity parameter, Eckert number, and chemical reaction parameter, to provide insight into their physical meaning. The results indicate that increasing the values of the nonlinear radiation parameter improves the thermal profile due to inner heat. The thermal profile is enhanced by increasing the Eckert number, but it has the opposite trend with the Prandtl number. The impact of the obtained parameters on the skin friction coefficient, mass, and heat transfer rates is illustrated in tables. The validity of the findings is demonstrated by comparing them with previous investigations.©2023 Production and hosting by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Energy & Fuels
Deepak Singh, Munendra Kumar
Summary: This study utilized Gene Expression Programs (GEP) to estimate the relative energy dissipation at the base of type-B Piano Key Weirs (PKWs) by considering three non-dimensional parameters, resulting in satisfactory predictions.
RENEWABLE ENERGY FOCUS
(2022)
Article
Engineering, Environmental
Deepak Singh, Munendra Kumar
Summary: A new empirical model for estimating residual energy in hydraulic systems was developed using gene-expression programming (GEP), showing better performance compared to traditional empirical equations.
Article
Engineering, Mechanical
Alireza Keramat, Manoochehr Fathi-Moghadam, Roohollah Zanganeh, Mostafa Rahmanshahi, Arris S. Tijsseling, Ebrahim Jabbari
JOURNAL OF FLUIDS AND STRUCTURES
(2020)
Article
Engineering, Multidisciplinary
Mohammad Rashki Ghaleh Nou, Mehdi Azhdary Moghaddam, Mahmood Shafai Bajestan, Hazi Mohammad Azamathulla
AIN SHAMS ENGINEERING JOURNAL
(2020)
Article
Engineering, Marine
Ayyuob Mahmoodi, Mir Ahmad Lashteh Neshaei, Abbas Mansouri, Mahmood Shafai Bejestan
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2020)
Article
Engineering, Civil
Ebrahim Najjaran, Amir Abbas Kamanbedast, Mahmood Shafai-Bejestan, Ali Reza Masjedi, Hooshang Hasonizadeh
Summary: The study explores a new technique of using six-pillar concrete elements to construct rectangular vanes for mitigating bends migration in the rivers. Results show that installing RV-SPC at intervals of 6L can significantly reduce the maximum scour depth around the structure.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING
(2021)
Article
Engineering, Civil
M. Rashki Ghaleh Nou, M. Zolghadr, M. Shafai Bajestan, H. M. Azamathulla
Summary: The study utilized machine learning and data mining methods to predict the geometric properties of scour-hole in ski-jump spillways, achieving high precision in the model predictions.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING
(2021)
Article
Environmental Sciences
Manoochehr Shokrian Hajibehzad, Mahmood Shafai Bejestan, Vito Ferro
Article
Engineering, Civil
Babak Sabaghi, Mahmood Shafai Bajestan, Babak Aminnejad
Summary: A probabilistic decision model based on copula multivariate functions was developed to predict the depth and maximum rate of rainfall at different return periods for calculating runoff. Fuzzy set theory was used to formulate the relationships between rainfall rate and depth with peak hydrograph flow and runoff volume for flood events, and a multi-objective optimization genetic algorithm was applied to search the feasible domain of the fuzzy problem. The developed fuzzy-probabilistic model was able to predict over 92% of flood events within the defined fuzzy range, with the maximum model error occurring in predicting rainfall depth and runoff volume.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Mahmood Shafai Bejestan, Mohsen Dorosti, Farshid Amirsalari Meymani, Mohammad Bahrami Yarahmadi
Summary: Triangular vanes are environmentally friendly structures used to prevent river bend bank erosion, but the scour around the structure's tip may cause failure. The use of a slot in bridge piers and abutments has shown effectiveness in reducing scour depth. This study experimentally investigates the effect of different positions of a rectangular slot on the performance of triangular vanes in reducing scour depth.
JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS
(2023)
Article
Engineering, Civil
Mahdi Kashian, Mahmood Shafai Bejestan, Hossein Ebrahimi
Summary: The decrease in rainfall has led to a drop in underground water levels in arid and semi-arid regions. This study aims to predict the impact of rainfall on aquifer restoration using a probabilistic system. The analysis of 35 years of rainfall data showed that, on average, rainfall will increase the depth of the reservoir by 55 cm in a 10-year return period.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING
(2023)
Article
Geochemistry & Geophysics
Mahmood Shafai Bejestan, Narges Raee, Reza Azizi
Summary: The collapse of abutments due to scour formation has led to the destruction of many bridges worldwide. This study experimented with a new environmentally friendly method, triangular vanes made with six-pillar concrete (TV-SPC), to reduce scour depth. Various experiments were conducted with different configurations and hydraulic conditions, and the results showed that attaching TV-SPC at a distance of 0.75L or 1L from the bank and using the longest TV-SPC length were more effective in reducing scour depth. A single L-TV-SPC installed at 0.75L upstream of the abutment achieved a scour depth reduction of 68% and 78% under high and low flow conditions, respectively. Installing three rows of TV-SPC increased scour depth reduction to 82%.
Article
Water Resources
Masih Zolghadr, Mahmood Shafai Bejestan
Summary: The study experimentally investigated the application of Six Legged Concrete (SLC) elements in reducing abutment scour, concluding that densely placing the elements on the bed can significantly reduce scour depths by up to 100%. In different densities and placement depths, the optimal arrangement proved to be placing the elements densely on the bed.
INTERNATIONAL JOURNAL OF RIVER BASIN MANAGEMENT
(2021)
Article
Environmental Sciences
Mehdi Bensaid, Amir Abbas Kamanbedast, Mohammad Hosein Purmohammadi, Mahmoud Shafai Bajestan, Alireza Masjedi
FRESENIUS ENVIRONMENTAL BULLETIN
(2019)
Article
Water Resources
M. Keramatzadeh, M. Shafai Bejestan, M. Bahrami Yarahmadi
