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Identification of effective cohesive parameters for FRP-concrete interface using multi-island genetic algorithm

STRUCTURES 2025年 71卷

作者： Shi, Tianxiang Wang, Yangyang Pang, Miao Zhang, Yongqiang Zhejiang Univ Coll Civil Engn & Architecture Hangzhou 310058 Peoples R China

To ensure the accurate applications of the cohesive zone models (CZMs), it is crucial to calibrate the interface parameters. In this study, considering both the experimental and numerical data including the load-displacement curves and crack length of interface, the identification of interface parameters is conducted through an inverse identification framework based on the multi-island genetic algorithm (MIGA). Due to the fact that the debonding in experiments may occur at random locations and expand in various directions, a nonlinear multi-objective function taking the load-displacement curve and crack length as input data are presented to formulate the identification problem. A numerical model that reproduces the four-point bending test is established, and the interface elements are implemented based on the strength-based cohesive zone model (ST-CZM). The interface parameters of the FRP-concrete in four-point bending model are identified using the inverse identification framework. The failure modes observed in the experiments are accurately reproduced by the numerical model with the identified parameters, thereby verifying the accuracy and effectiveness of the proposed method.

关键词： Cohesive zone model Interfacial debonding multi-island genetic algorithm

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An improved multi-island genetic algorithm and its utilization in the optimal design of a micropositioning stage

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EXPERT SYSTEMS WITH APPLICATIONS 2024年 257卷

作者： He, Wenbin Tang, Xian Ji, Wanwei Meng, Liju Wei, Jiachen Cao, Donghao Ma, Ciwen Li, Qi Lin, Chuangting Jihua Lab Foshan 528200 Guangdong Peoples R China Huazhong Univ Sci & Technol Sch Mech Sci & Engn Wuhan 430074 Peoples R China Shantou Univ Coll Engn Dept Mech Engn Shantou 515063 Peoples R China Huazhong Univ Sci & Technol Sch Mech Sci & Engn State Key Lab Intelligent Mfg Equipment & Technol Wuhan 430074 Peoples R China

An improved multi-island genetic algorithm (IMIGA) by integrating various common improvement methods, optimized through D-optimal and analysis of variance (ANOVA) techniques. IMIGA's performance is validated against various state-of-the-art algorithms across CEC2020 test suite and classic engineering problems, affirming its superiority. IMIGA's potential in industrial applications is demonstrated by employing it for optimal design in a micropositioning stage, leveraging machine learning (ML) for parameter optimization. With the optimal design parameters, driven by IMIGA and a surrogate ML model, the proposed stage attained a first natural frequency of 55 Hz and maximum strokes of 266.7 mu m, 110.9 mu m, and 0.7552 mrad in the x-, y-, and theta-directions, respectively. These experimental results closely align with the predicted outcomes from the design phase, highlighting the accuracy and reliability of the employed methodology. Such consistency between experimental measurements and predicted values underscores the efficacy of the design approach in achieving desired performance metrics.

关键词： multi-island genetic algorithm Machine learning Micropositioning stage Flexure mechanism Optimum design

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Inverse parameter identification framework for cohesive zone models based on multi-island genetic algorithm

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ENGINEERING FRACTURE MECHANICS 2024年 300卷

作者： Shi, Tianxiang Pang, Miao Wang, Yangyang Zhang, Yongqiang Zhejiang Univ Coll Civil Engn & Architecture Hangzhou 310058 Peoples R China

Composite interfaces are commonly simulated by cohesive zone models with the key challenge being the calibration of interfacial parameters. A novel inverse identification framework is presented in this paper to determine the interface parameters of cohesive zone models. This approach employs the multi-island genetic algorithm to obtain the key parameters of cohesive zone model which can reproduce the experimental observations. Utilizing two independent metrics, namely the load-displacement response and the debonding length history, an objective function is formulated to give the framework inherent robustness. The interface debonding length is used to uniquely determine the debonding properties of the specimen. To demonstrate the feasibility of the proposed framework, the strength-based cohesive zone model is taken as an example. The inverse algorithm is adopted to identify the interface parameters of both the double cantilever beam (DCB) experiments and the fixed-ratio mixed-mode (FRMM) tests. The robustness, accuracy and sensitivity of the framework are validated through the double cantilever beam test. The findings indicate that the numerical results align closely with the experimental data, confirming that the interface parameters identified by the proposed framework can reproduce the experimental results.

关键词： Cohesive zone model Inverse analysis Parameter identification Debonding multi-island genetic algorithm

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Thermodynamic analysis and optimization of variable effect absorption refrigeration system using multi-island genetic algorithm

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ENERGY REPORTS 2022年 8卷 5443-5454页

作者： Zhang, Ke Ma, Haijing Li, Qingyang Wang, Dechang Song, Qinglu Wang, Xiaohe Kong, Xiangqiang Qingdao Univ Sch Mech & Elect Engn 308 Ningxia Rd Qingdao 266071 Peoples R China Shandong Univ Sci & Technol Sch Mech & Elect Engn 579 Qianwangang Rd Qingdao 266590 Peoples R China

Low efficiency is one of the major concerns associated with absorption refrigeration cycle (ARC). The performance of ARC is affected by internal parameters such as the solution distribution ratio and the generator outlet solution concentration, especially to the absorption-generation heat exchange (AGX) LiBr-water variable-effect ARC. Therefore, the performance of the AGX variable-effect ARC was optimized and analyzed. AGX variable-effect ARC thermodynamic model has been implemented in Engineering Equation Solver (EES). Operation parameters including temperatures of all the units of ARC, solution distribution ratio, and generator outlet solution concentration had been optimized. The effects of the solution distribution ratio and generator outlet solution concentration on constraint conditions, coefficient of performance (COP), exergy efficiency (eta ex), and operating range had also been analyzed. multi-island genetic algorithm (MIGA) was used to optimize the solution distribution ratio and generator outlet solution concentration. The results showed that the optimal COP for the AGX cycle was from 0.885 to 1.249 for THG from 95 degrees C to 140 degrees C. The optimized COP was increased by 10.65% on average and 45.49% on maximum, compared with the COP obtained at the same temperature. The MIGA optimization method had proven to be an effective and robust tool that could be utilized to the optimization of AGX variable-effect ARC. (c) 2022 The Author(s). Published by Elsevier *** is an open access article under the CC BY-NC-ND license (http://***/licenses/by- nc- nd/4.0/).

关键词： Variable-effect Absorption refrigeration system Simulation multi-island genetic algorithm LiBr-water

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Spatial-temporal characteristics analysis of laser-induced shockwave pressure by reverse optimization with multi-island genetic algorithm

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JOURNAL OF LASER APPLICATIONS 2024年第3期36卷 032019-032019页

作者： Tang, Yuyuan Nie, Xiangfan Wu, Haonian Xu, Ming Yan, Li Xi An Jiao Tong Univ Sch Aerosp Engn Xian 710049 Shaanxi Peoples R China Xi An Jiao Tong Univ Natl Key Lab Aerosp Power Syst & Plasma Technol Xian 710049 Shaanxi Peoples R China Air Force Engn Univ Natl Key Lab Aerosp Power Syst & Plasma Technol Xian 710038 Shaanxi Peoples R China Chongqing Jiaotong Univ Sch Aeronaut Chongqing 400074 Peoples R China Green Aerotech Res Inst CQJTU Chongqing 401174 Peoples R China

Laser-induced shock wave (LSW) represents a significant phenomenon arising from the interaction between laser radiation and matter. In this study, we establish a finite element and optimization model constrained by a physical framework. Utilizing multichannel photon Doppler velocimeter experimental data as the target for matching, we directly acquire the spatiotemporal pressure characteristics of LSW through the multi-island genetic algorithm. The optimized outcomes show deviations from experimental results within 10%. Research reveals that the spatial uniformity of pressure deteriorates with increasing power density, accompanied by a gradual reduction in the proportion of peak pressure. Temporally, aside from the pressure caused by plasma, there are some small pressure peaks. When the laser's full width half maximum reaching 100 or 200 ns, the pressure decays prematurely. The duration of pressure does not extend to two to three times the duration of the laser pulse.

关键词： laser-induced shock wave pressure finite element model multi-island genetic algorithm free surface velocity

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Structural Optimization Design of a Typical Adhesive Bonded Honeycomb-Core Sandwich T-joint in Side Bending Using multi-island genetic algorithm

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APPLIED COMPOSITE MATERIALS 2021年第4期28卷 1039-1066页

作者： Niu, Yiran Xu, Xiwu Guo, Shuxiang Nanjing Univ Aeronaut & Astronaut State Key Lab Mech & Control Mech Struct Nanjing 210016 Peoples R China

Sandwich structure T-joints are increasingly broadly applied in aviation and aerospace industries due to the need for lightweight design. This paper deals with the lightweight optimization of a typical adhesively bonded Nomex honeycomb-core sandwich T-joint in side bending load, considering the strength constraints. The optimization problem, with discrete and continuous design variables, is a compound optimization problem involving size optimization for the whole structure and stacking sequence optimization for multiple variable-thickness composite laminates. A self-adjusted parametric modeling with user-defined suppression process is proposed. An integrated combination of progressive damage model methodology, self-adjusted parametric modeling with user-defined suppression process and multi-island genetic algorithm is applied for the optimization problem. The optimization result showed 30.75% weight reduction compared to the original T-joint configuration. On the basis of history data, we investigate the correlations between design variables and concerned constraint variables.

关键词： Sandwich T-joint Optimization Progressive damage analysis multi-island genetic algorithm User-defined suppression process

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Research on optimization of CNC milling parameters based on multi-island genetic algorithm 8

Research on optimization of CNC milling parameters based on ...

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8th International Forum on Electrical Engineering and Automation (IFEEA)

作者： Li, Dong-Yang Yin, Feng-Zhe Plao, Cheng-dao Wang, De-Chao Quan, Shi-Hao Chen, Shi-Hao Yanbian Univ Engn Coll Yanji Jilin Peoples R China

ISBN: (纸本)9781665400886

In order to solve the problem of the influence of CNC milling vibration and milling force on machining accuracy and quality, a composite test plan of the center was designed based on the principle of response surface method, and a second order model of milling vibration RMS and milling force Fr in the process of milling 7075 aluminum alloy with cemented carbide tools is established, use analysis of variance to test the significance of the model and regression coefficients, analyze the influence of single factor and interactive factors of milling parameters on RMS and Fr, and take the minimum RMS and Fr as the optimization objective, and use the multi-island genetic algorithm for milling Parameters are optimized and analyzed. The test results show that the established model has high filling accuracy and can meet engineering requirements;the milling parameter results optimized by the multi-island genetic algorithm can provide a powerful reference for actual machining.

关键词： Response surface method milling vibration milling force multi-island genetic algorithm parameter optimization

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Optimization design of curved outrigger structure based on buckling analysis and multi-island genetic algorithm

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SCIENCE PROGRESS 2021年第2期104卷 368504211023277-368504211023277页

作者： Liu, Zhi-Hai Tian, Shao-Lu Zeng, Qing-Liang Gao, Kui-Dong Cui, Xin-Long Wang, Cheng-Long Shandong Univ Sci & Technol Coll Transportat Qingdao Peoples R China Shandong Univ Sci & Technol Coll Mech & Elect Engn 579 Qianwan Gang Qingdao 266590 Peoples R China Shandong Normal Univ Coll Informat Sci & Engn Jinan Peoples R China

In the present work, the working state of the crane leg is analyzed and discussed, and its structure is optimized. SolidWorks software is used for modeling;ANSYS software is used for finite element analysis. First of all, the constrained finite element method (CFEM) is used to analyze the linear eigenvalue buckling and geometric nonlinear buckling of outriggers with different cross-section shapes. Prove that the curved leg has certain advantages in buckling. At the same time, analyzing the leg along a different path of buckling condition and stress changes provide the basis for the design of the subsequent reinforcement. After selecting the best cross-section shape of the outrigger, the agent-based multi-island genetic algorithm is used to optimize the structural parameters of the outrigger under the transverse stiffened plate reinforced structure and the longitudinally stiffened plate reinforced structure respectively. It is proved that the outrigger with the transverse stiffened plate has a significant effect in improving the bearing capacity and in the lightweight of the structure. Finally, the gap between the movable leg and the fixed leg was changed, the stress of different gaps was analyzed by using the finite element method, and the appropriate gap value was selected according to the high-order fitting curve.

关键词： Finite element method multi-island genetic algorithm buckling analysis clearance analysis optimization

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Optimization Design and Experimental Study of a Two-disk Rotor System Based on multi-island genetic algorithm

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INTERNATIONAL JOURNAL OF TURBO & JET-ENGINES 2019年第1期36卷 1-8页

作者： Huang, Jingjing Zheng, Longxi Mechefske, Chris K. Han, Bingbing Xian Shiyou Univ Mech Engn Coll Xian Shaanxi Peoples R China Northwestern Polytech Univ Sch Power & Energy Xian Shaanxi Peoples R China Queens Univ Dept Mech & Mat Engn Kingston ON Canada CAAC Shanghai Aircraft Airworthiness Certificat Ctr Chengdu Sichuan Peoples R China

Based on rotor dynamics theory, a two-disk flexible rotor system representing an aero-engine with freely supported structure was established with commercial software ANSYS. The physical model of the two-disk rotor system was then integrated to the multidisciplinary design optimization software ISIGHT and the maximum vibration amplitudes experienced by the two disks when crossing the first critical speed were optimized using a multi-island genetic algorithm (MIGA). The optimization objective was to minimize the vibration amplitudes of the two disks when crossing the first critical speed. The position of disk 1 was selected as the optimization variable. The optimum position of disk 1 was obtained at the specified constraint that the variation of the first critical speed could not exceed the range of +/- 10 %. In order to validate the performance of the optimization design, the proof-of-transient experiments were conducted based on a high-speed flexible two-disk rotor system. Experimental results indicated that the maximum vibration amplitude of disk 1 when crossing the first critical speed declined by 60.9% and the maximum vibration amplitude of disk 2 fell by 63.48% after optimization. The optimization method found the optimum rotor positions of the flexible rotor system which resulted in minimum vibration amplitudes.

关键词： two-disk rotor multi-objective optimization multi-island genetic algorithm transient analysis experimental validation

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Optimization of composite ring stiffened cylindrical hulls for unmanned underwater vehicles using multi-island genetic algorithm

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JOURNAL OF REINFORCED PLASTICS AND COMPOSITES 2018年第10期37卷 668-684页

作者： Song, Baowei Lyu, Da Jiang, Jun Northwestern Polytech Univ Sch Marine Sci & Technol 127 Youyixi Rd Xian 710072 Shaanxi Peoples R China

The usage of composite material helps reducing structure's weight in many conditions. In this paper, The Composite Ring Stiffened Cylindrical Hulls used by Unmanned Underwater Vehicles is optimized in various depths. The optimization aims to reducing the weight of the composite ring stiffened cylindrical hulls. Two candidate composite materials, T700/Epoxy and B(4)5505/Epoxy, are chosen to form the outer shell and stiffeners. Number and shape of the stiffeners, ply angles, and the number of the plies are considered. The multi-island genetic algorithm (MIGA) is performed in MATLAB and a new two-step method is proposed in crossover operations. ANSYS parametric design language is integrated in optimization procedure to ensure the acceptance of the optimal result. The results reveal that the proposed two-step method for multi-island genetic algorithm is efficiency and robust in reducing the weight of the composite ring stiffened cylindrical hulls. The weight for optimized composite ring stiffened cylindrical hulls with T700/Epoxy shells and B(4)5505/Epoxy stiffeners is 10.5% lighter than that with single composite material when the operating depth is 200 m.

关键词： Composite ring-stiffened cylindrical hulls multi-island genetic algorithm two-step method finite element analysis unmanned underwater vehicles

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