Article
Computer Science, Interdisciplinary Applications
Brahim Benaissa, Nourredine Ait Hocine, Samir Khatir, Mohamed Kamel Riahi, Seyedali Mirjalili
Summary: The paper introduces a new metaheuristic algorithm, named YUKI Algorithm (YA), for crack identification, showcasing accurate and fast results compared to other established optimization methods. By utilizing model reduction and interpolation techniques, the algorithm is proven effective in predicting measurements for crack parameters.
JOURNAL OF COMPUTATIONAL SCIENCE
(2021)
Article
Multidisciplinary Sciences
Zhi Li, Yingjian Chen
Summary: This paper focuses on the green scheduling problem in a flexible job shop system, considering energy consumption and worker learning effects. The green flexible job shop scheduling problem (GFJSP) is formulated as a mixed integer linear multiobjective optimization model to simultaneously minimize makespan and total carbon emissions. The improved multiobjective sparrow search algorithm (IMOSSA) is developed to find the optimal solution, demonstrating high precision, good convergence, and excellent performance in solving the GFJSP in low-carbon manufacturing systems.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Interdisciplinary Applications
Bin Xu, Yichuan Li, Rui Pang
Summary: A reasonable and accurate description of deformation is crucial for state assessments of earth-rockfill dams (ERDs). However, the mechanical properties of rockfill are difficult to fully describe using the finite element method (FEM) due to its complexity. This paper combines the improved Jaya optimization algorithm (iJaya) with the advanced cloud surrogate model (ACSM) for inverse analysis, achieving high prediction accuracy and reduced computation time. The proposed inverse method shows promise in analyzing the deformation of ERDs and simulating their state.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Computer Science, Artificial Intelligence
Lijun He, Wenfeng Li, Raymond Chiong, Mehdi Abedi, Yulian Cao, Yu Zhang
Summary: This study presents an EMOJaya algorithm for solving multi-objective job-shop scheduling problems, which achieves higher performance and more high-quality scheduling schemes through the application of grey entropy parallel analysis and opposition-based learning strategies.
APPLIED SOFT COMPUTING
(2021)
Article
Computer Science, Artificial Intelligence
Fei Kang, Yingrui Wu, Junjie Li, Hongjun Li
Summary: This study presents a dynamic parameter inverse analysis process for concrete dams based on Gaussian process regression and Jaya algorithm, and verifies the performance of this method through numerical examples. The results show that Gaussian process regression can significantly improve parameter identification efficiency, and the Jaya algorithm shows promise in parameter recognition.
ADVANCED ENGINEERING INFORMATICS
(2021)
Article
Automation & Control Systems
Lidong Zhang, Tianyu Hu, Linxin Zhang, Zhile Yang, Sean McLoone, Muhammad Ilyas Menhas, Yuanjun Guo
Summary: A plate-fin heat exchanger (PFHE) is a compact and efficient thermal device, but its performance relies on its structural design. Optimizing the design of a PFHE is a challenging problem due to its nonlinearity, which can be solved using meta-heuristic algorithms. This paper proposes an improved method called dynamic-opposite learning Jaya (DOLJaya), which demonstrates competitive robustness, efficiency, and effectiveness in solving complex nonlinear problems.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Computer Science, Artificial Intelligence
Rylan H. Caldeira, A. Gnanavelbabu
Summary: The study introduces a multi-objective discrete Jaya algorithm (MODJA) to address flexible job shop scheduling problems, incorporating a problem-specific local search technique and modified crowding distance measure for enhanced performance. Computational experiments demonstrate the effectiveness of MODJA in obtaining diverse and improved Pareto-optimal solutions.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Automation & Control Systems
Fuqing Zhao, Hui Zhang, Ling Wang
Summary: This article proposes a Pareto-based discrete Jaya algorithm (PDJaya) to solve the carbon-efficient distributed blocking flow shop scheduling problem (CEDBFSP). The CEDBFSP is solved using a mixed-integer linear programming model, and an effective constructive heuristic is used to generate the initial population. The PDJaya algorithm is enhanced with a self-adaptive operator local search strategy and a critical-path-based carbon saving strategy to further reduce carbon emissions. The numerical results demonstrate that PDJaya is an efficient optimizer for solving the CEDBFSP.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Yichuan Li, Rui Pang, Bin Xu, Yang Zhou
Summary: This paper proposes a rapid static parameter inverse method for concrete-faced rockfill dams based on displacement data, using an improved cloud surrogate model and the Jaya optimization algorithm. The improved cloud surrogate model (ICSM) rapidly establishes a nonlinear relationship between static parameters and displacement. The Jaya optimization algorithm efficiently identifies the extreme value of the objective function for parameter identification. The method has high prediction accuracy, maintains computational efficiency, and can be used for real-time analysis and evaluation of the safety and stability of earth-rockfill dams.
ADVANCED ENGINEERING INFORMATICS
(2023)
Article
Mathematics
Jun Xu, Wei Hu, Wenjuan Gu, Yongguang Yu
Summary: The study proposes an improved discrete JAYA algorithm, called QSA-DJAYA, based on reinforcement learning and simulated annealing, for solving the traveling salesman problem in combinatorial optimization. The algorithm embeds the Q-learning algorithm into JAYA algorithm to update the solution by selecting the most promising transformation operator. It also introduces the Metropolis acceptance criterion from simulated annealing to balance exploration and exploitation, and applies 3-opt at certain frequency to improve efficiency. Experimental results show that the QSA-DJAYA algorithm achieves significantly better results compared to other competitive algorithms in most instances.
Article
Engineering, Civil
Fei Kang, Xi Liu, Junjie Li, Hongjun Li
Summary: This paper proposes a response surface model based on kernel extreme learning machine for parameter inverse analysis of concrete dams. The effectiveness of this method is verified through experiments, showing high accuracy at a low computation cost.
ENGINEERING STRUCTURES
(2022)
Article
Thermodynamics
Aminul Islam Khan, Md Muhtasim Billah, Chunhua Ying, Jin Liu, Prashanta Dutta
Summary: In this study, a Bayesian inference based inverse technique is used to find local heat transfer coefficient and local steam temperature at the inner surface of a steam header. The calculated outer surface temperatures agree well with experimental measurements in both heating and cooling processes, demonstrating the efficiency of the stochastic based Bayesian technique in estimating unknown boundary conditions at an inaccessible location.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2021)
Article
Chemistry, Multidisciplinary
Ali S. Alghamdi
Summary: This paper presents a method combining the firefly algorithm and JAYA algorithm to effectively solve the optimal power flow (OPF) problem. The method considers renewable energy and multiple objective functions, and simulations on a 30-bus IEEE network validate its efficiency.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Hardware & Architecture
Arvind Shilpi, Arvind Kumar
Summary: This paper addresses the challenging task of sensor node localization in a distributed environment of Wireless Sensor Networks (WSNs) using the nature-inspired Jaya algorithm. The proposed method estimates the location coordinates of target nodes in a randomly distributed sensor node configuration and uses the Received Signal Strength Indicator method for distance estimation. Comparative analysis with other localization algorithms shows the effectiveness of the proposed approach.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Engineering, Industrial
Jiaxin Fan, Weiming Shen, Liang Gao, Chunjiang Zhang, Ze Zhang
Summary: The paper proposes a hybrid Jaya algorithm integrated with Tabu search to solve the flexible job shop scheduling problem, addressing the issue of multiple critical paths. By utilizing two Jaya operators and three approaches during the local search phase, the algorithm demonstrates superiority in both optimality and stability on various benchmark sets for FJSP.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Computer Science, Interdisciplinary Applications
Hoang-Le Minh, Samir Khatir, R. Venkata Rao, Magd Abdel Wahab, Thanh Cuong-Le
Summary: In this paper, a variable velocity strategy particle swarm optimization (VVS-PSO) is introduced for solving optimization problems. VVS-PSO improves convergence rate and accuracy by adding a new term to the velocity updating process. Experimental results demonstrate the high accuracy and reliability of VVS-PSO in optimization and structural damage assessment problems.
ENGINEERING WITH COMPUTERS
(2023)
Article
Mechanics
Muhammad Irfan Shirazi, Samir Khatir, Brahim Benaissa, Seyedali Mirjalili, Magd Abdel Wahab
Summary: This paper introduces a new hybrid YUKI-ANN approach for Structural Health Monitoring (SHM) of laminated composite plates. The approach includes damage localization and quantification steps using a finite element model and a damage indicator based on Modal Strain Energy change ratio (MSEcr). The performance of four optimization algorithms in the ANN, including YUKI algorithm (YA), was evaluated. The results show that YA outperforms the other algorithms in terms of prediction accuracy and computational time.
COMPOSITE STRUCTURES
(2023)
Article
Mechanics
Can Wang, Dagang Wang, Magd Abdel Wahab
Summary: In this paper, the theory of critical distance using volume method and mesh control approach is applied to predict the fretting fatigue lifetime, considering the existence of heterogeneity and defects in the material. The computational cost is reduced by using the mesh control approach, and the prediction accuracy is improved through the implementation of the Unit Cell (UC) models based on a sub-modelling technique. The Representative Volume Element (RVE) is applied for the estimations of fretting fatigue lifetimes using the homogenization method taking into account the heterogeneity of material.
ENGINEERING FRACTURE MECHANICS
(2023)
Article
Mechanics
Abdelwahhab Khatir, Roberto Capozucca, Samir Khatir, Erica Magagnini, Brahim Benaissa, Cuong Le Thanh, Magd Abdel Wahab
Summary: This paper presents a novel application for double cracks identification in CFRP cantilever beams based on experimental and numerical analyses using enhanced optimization techniques. It proposes a hybrid algorithm PSO-YUKI combined with RBF to solve fast inverse problems. The results show the robustness of PSO-YUKI compared with traditional PSO for double cracks depth identification.
COMPOSITE STRUCTURES
(2023)
Article
Computer Science, Interdisciplinary Applications
YiFei Li, MaoSen Cao, H. Tran-Ngoc, Samir Khatir, Magd Abdel Wahab
Summary: This paper proposes a novel methodology that combines polynomial chaos expansion and slime mould algorithm for multi-parameter identification of concrete dams. Through two examples, the effectiveness and practicability of the proposed method are verified. Parameter sensitivity analysis of the dam model is conducted by polynomial chaos expansion based on Sobol' indices at an extremely low cost. The proposed method improves computational efficiency while maintaining high accuracy and demonstrates outstanding performance compared to conventional optimization methods.
COMPUTERS & STRUCTURES
(2023)
Article
Engineering, Civil
YiFei Li, Hoang-Le Minh, S. Khatir, Thanh Sang-To, Thanh Cuong-Le, MaoSen Cao, Magd Abdel Wahab
Summary: A novel method for structural damage identification is proposed, which combines a surrogate modelling technique and a hybrid optimization strategy. The method utilizes a sparse polynomial chaos expansion model as a cost-effective alternative to computationally expensive finite element models, greatly improving optimization efficiency. Comparative results show that the proposed method outperforms seven other optimization algorithms for benchmark functions. Case studies demonstrate the efficiency and reliability of the proposed method for finite element model updating and structural damage identification.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Industrial
Zai-Wei Li, Yun-Lai Zhou, Xiao-Zhou Liu, Magd Abdel Wahab
Summary: This study examines the impact of the wavelength distribution characteristics of track irregularities on the service reliability of high-speed rail (HSR) ballastless tracks. By establishing a serviceability limit state (SLS) function based on the derailment coefficient and wheel-unloading rate, the study proposes an improved response surface method (RSM) to improve computational efficiency. A 3-D vehicle-track coupling model is used to analyze the vertical and lateral wheel-rail forces and a binary wavelet-based inversion algorithm is employed to assess the wavelength effect of track irregularities. The results indicate that wavelengths ranging from 32 to 64 m have the greatest negative impact on track service reliability under normal HSR operation.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Mechanical
Kaifa Fan, Daoxin Liu, Yanjie Liu, Junnan Wu, Hailan Shi, Xiaohua Zhang, Kai Zhou, Junfeng Xiang, Magd Abdel Wahab
Summary: The effect of shot peening on the fatigue life of S42200 steel at different temperatures was investigated. The fatigue test was conducted using a high temperature rotating bending tester. Surface integrity characterization was employed to analyze the impact of shot peening on surface properties. Additionally, a finite element method combined with the Zheng Equation fatigue damage model was proposed to predict the fatigue life. The results demonstrated that shot peening effectively enhanced the fatigue life of S42200 steel, with the impact varying depending on the temperature.
TRIBOLOGY INTERNATIONAL
(2023)
Article
Engineering, Mechanical
Sutao Han, Samir Khatir, Can Wang, Magd Abdel Wahab
Summary: Fretting fatigue, a common problem in aviation and engineering fields, has a shorter fatigue life compared to plain fatigue due to its multiaxial characteristics. This paper proposes an improved Artificial Neural Network (ANN) using Balancing Composite Motion Optimization (BCMO) to predict fretting fatigue crack initiation lifetime quickly.
TRIBOLOGY INTERNATIONAL
(2023)
Article
Engineering, Civil
Parsa Ghannadi, Samir Khatir, Seyed Sina Kourehli, Andy Nguyen, Djilali Boutchicha, Magd Abdel Wahab
Summary: Due to the increasing complexity of engineering structures, it is crucial to develop a methodology for early defect detection that ensures long-term safety and reliability at minimal cost. This study proposes the use of a semi-rigidly connected frame element (S-RCFE) to assemble the finite element (FE) model and establish a high-fidelity numerical model. Optimization-based procedures are employed to achieve reasonable agreement between experimental and numerical models. The results show that the improved version of grey wolf optimizer (IGWO) provides the most reliable results for damage identification but requires extensive computation time.
Article
Mathematics
Emad E. Ghandourah, Ahmed Amine Daikh, Samir Khatir, Abdulsalam M. Alhawsawi, Essam M. Banoqitah, Mohamed A. Eltaher
Summary: This study proposes a new model for functionally graded shell structures called Tri-coated FGM, which investigates the free vibration response by incorporating porosities and microstructure-dependent effects. Two types of tri-coated FG shells are investigated, and five distribution patterns are proposed. A novel modified field of displacement is proposed by considering the shear deformation effect. Extensive parametric analysis is conducted to investigate the influence of various factors on the fundamental frequencies.
Article
Construction & Building Technology
Emad Ghandourah, Samir Khatir, Essam Mohammed Banoqitah, Abdulsalam Mohammed Alhawsawi, Brahim Benaissa, Magd Abdel Wahab
Summary: This study presents an enhanced artificial neural network (ANN) to predict displacement in composite pipes impacted by different velocities of a drop weight. Influential parameters including thickness, stacking sequence, and the number of layers were investigated. The composite pipes were subjected to low-velocity impacts at varying speeds, and the damages and their impact on strength were evaluated. The E-Jaya algorithm was used to enhance the ANN's training and prediction, showing its effectiveness compared to the original algorithm.
Article
Computer Science, Interdisciplinary Applications
Muhammad Imran, Dagang Wang, Magd Abdel Wahab
Summary: Fretting wear behavior of steel wire ropes used in coal mine technology is numerically investigated and compared with experimental data in this study. The effect of contact parameters on the fretting wear process is analyzed using a validated three-dimensional Finite Element (FE) model. The results show that higher fretting amplitude and contact load significantly affect wear profile, wear depth, and wear scar. The wear characteristics are also influenced by the contact angle.
ADVANCES IN ENGINEERING SOFTWARE
(2023)
Article
Computer Science, Artificial Intelligence
Trong Nghia-Nguyen, Mamoru Kikumoto, H. Nguyen-Xuan, Samir Khatir, Magd Abdel Wahab, Thanh Cuong-Le
Summary: Soil compression parameters are crucial for ensuring the safety of civil engineering structures. Currently, evaluating these parameters through laboratory tests is time-consuming and labor-intensive, leading to increased construction costs. In this paper, machine learning models are employed to establish a reliable method for obtaining these parameters, using data from five different construction projects. Various models, including artificial neural network, deep neural network, and optimized deep neural network models, are compared, with the optimized models showing superior performance. Validations using data from a road project confirm the effectiveness and potential applications of the proposed methods.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Construction & Building Technology
Emad Ghandourah, Kouider Bendine, Samir Khatir, Brahim Benaissa, Essam Mohammed Banoqitah, Abdulsalam Mohammed Alhawsawi, Essam B. B. Moustafa
Summary: In this research paper, a dynamic algorithm is proposed for accurate damage localization in functionally graded plates. The algorithm involves the creation of a grid matrix to capture the dynamic response of the structure and an optimization process using a linear equation to localize the damage precisely. Experimental tests on a functionally graded plate demonstrate the effectiveness of the proposed approach.
Article
Mechanics
Xiaolong Liu, Kelian Luo, Pengcheng Gao, Tao Cong, Xi Wang, Wenjing Wang
Summary: This paper investigates the formation mechanisms of the zig-zag crack region on the shattered rim of railway wheels. The zig-zag crack region, identified as a typical region for crack propagation in rolling contact fatigue behavior, was observed using scanning electron microscopy and transmission electron microscopy. The formation of the zig-zag morphology is attributed to the periodic deflection of the propagation path relative to the initial propagation plane, caused by the limited plastic deformation zone at the crack tip. Grain refinement and secondary cracks in the zig-zag crack region are a result of the large compressive and shear stresses induced by rolling contact loading.
ENGINEERING FRACTURE MECHANICS
(2024)
Article
Mechanics
Anastasia Iziumova, Aleksei Vshivkov, Ivan Panteleev, Virginia Mubassarova, Oleg Plekhov, Denis Davydov
Summary: The aim of this study was to investigate the correlation between structural, acoustic emission, and thermal characteristics of fatigue crack growth in titanium alloys. Cluster analysis of the acoustic emission signals revealed two different types of signals observed during the fatigue crack development. It was experimentally demonstrated that the stored energy tends to reach an asymptotic value at the final stage of fatigue crack growth and this is correlated with the twinning process intensification in titanium alloy Ti Grade 2. A correlation was assumed between the stages of change in heat flux, the cumulative energy of the first cluster of acoustic emission signals, and the crack length.
ENGINEERING FRACTURE MECHANICS
(2024)
Article
Mechanics
M. Vieira de Carvalho, I. A. Rodrigues Lopes, F. M. Andrade Pires
Summary: This study investigates the numerical challenges of fracture mechanics models within implicit quasi-static frameworks and proposes an instability criterion. The ratio of cohesive to internal power is identified as a crucial factor. Two strategies for handling fracture problems with instabilities are discussed and a comparative assessment is performed. The study also examines more complex material responses, including transformation-induced plasticity effects.
ENGINEERING FRACTURE MECHANICS
(2024)
Article
Mechanics
Thomas Duminy, Aurelien Doitrand, Sylvain Meille
Summary: This study conducted in situ wedge splitting tests on millimeter-size PMMA samples and proposed a method to determine the material tensile strength and critical energy release rate using digital image correlation and a full finite element implementation of the coupled criterion.
ENGINEERING FRACTURE MECHANICS
(2024)
Article
Mechanics
Xin Chang, Xingyi Wang, Chunhe Yang, Yintong Guo, Yanghui Wan
Summary: The influence of cyclic thermal shock and high-temperature acid etching on the Mode I fracture of shale was investigated in this study. It was found that cyclic thermal shock severely degrades the strength and fracture toughness of shale, while high-temperature acid etching treatment improves the fracture toughness. These findings are valuable for optimizing process parameters to reduce initiation pressure in deep shale formations.
ENGINEERING FRACTURE MECHANICS
(2024)
Article
Mechanics
Liaojun Yao, Mingyue Chuai, Zhangming Lyu, Xiangming Chen, Licheng Guo, R. C. Alderliesten
Summary: Methods based on fracture mechanics have been widely used in fatigue delamination growth (FDG) characterization of composite laminates. This study proposes appropriate similitude parameters to represent FDG behavior with different R-ratios.
ENGINEERING FRACTURE MECHANICS
(2024)
Article
Mechanics
Zesheng Zang, Zhonghui Li, Yue Niu, Shan Yin
Summary: This study conducted experiments and recorded signals to investigate the fracture behavior and damage evolution characteristics of coal samples. The results showed that as loading proceeds, the stress, electric potential (EP), and acoustic emission (AE) values increase, and EP and AE signals are excited when stress drops. The fracture behavior of coal samples is altered by flaw inclination, and the destruction mode becomes increasingly complicated. The damage evolution characteristics of coal samples can be evaluated and analyzed by defining the coefficient of variation (CV value) of EP and the b value of AE.
ENGINEERING FRACTURE MECHANICS
(2024)
Article
Mechanics
Clotilde Berdin, Nathalie Prud'homme
Summary: In this study, zirconia layers with different fractions of tetragonal phase and thicknesses were tested for multi-cracking behavior. Cracks perpendicular to the tensile direction were observed, showing a blunting effect into the substrate. The ratio of crack spacing at saturation to layer thickness decreased as the layer thickness increased. Unit cell modeling was used to establish a relationship between crack spacing and layer strength, which fell within the bounds of Hu and Evans model and was found to be insensitive to the tetragonal zirconia fraction.
ENGINEERING FRACTURE MECHANICS
(2024)
Article
Mechanics
Huadong Zhang, Weichen Kong, Y. H. Liu, Yuh J. Chao
Summary: Williams' series expansion crack tip solution in linear elasticity is modified to include a uniform crack face pressure. Practical methods to calculate T-stress from near crack tip stresses are outlined. The analytical results are consistent with numerical results.
ENGINEERING FRACTURE MECHANICS
(2024)
Article
Mechanics
Jiahao Kong, Haoyue Han, Tao Wang, Guangyan Huang, Zhuo Zhuang
Summary: This paper introduces a phase-field model for polymer foam materials by combining the phase-field method with the crushable foam model. The model is calibrated using experimental data and successfully simulates the fracture processes of polyurethane under different loading conditions. The study is important for the engineering applications of polymer foam materials.
ENGINEERING FRACTURE MECHANICS
(2024)
