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A method for
inverse identification of virtual material parameters of a
Sumali-like model joint interface taking into account the
range of bolt preload forces
Wujiu Pan, Xiaotong Li, Junyi Wang, Jianwen Bao, Peng Gao, Xianjun Zeng and Peng Nie |
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Vol. 20 (2025), No. 2, 229–254
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Abstract |
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The bolted joint structure is one of the most prevalent forms of connection in mechanical systems, and is instrumental in the assembly of such systems due to its advantages of straightforward disassembly and assembly. This paper proposes an inverse identification method for the material parameters of the virtual layer of the joint interface, taking into account the range of bolt preload force. The Sumali-like bolted joint model is the focus of this research, and the virtual material layer method is employed to model the joint interface with equivalent chemical parameters. Initially, a comparison is made between the experimental and computational modal analysis results. Subsequently, the establishment of a parametric model, the introduction of an objective function, and the execution of multi-objective genetic algorithm-based optimization follows. Finally, the virtual material parameters are solved so as to complete the correction of the simulation parameters of the specimen material. The effects of different preload forces on the virtual material parameters are also discussed. The outcomes demonstrate that the total error of the secondary identification is 7.48%, which is reduced by approximately 59.3% in comparison with the inverse identification. This substantial improvement in accuracy serves to verify the correctness and feasibility of the proposed method. |
Keywords
virtual material, range of application of pre-tightening
torque, joint surface, reverse parameter identification,
multi-objective genetic algorithm
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Milestones
Received: 5 September 2024
Revised: 14 April 2025
Accepted: 22 May 2025
Published: 1 September 2025
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Authors |
| Wujiu Pan | |
| School of Mechatronics
Engineering Shenyang Aerospace University Shenyang, 110136 China |
Key Laboratory of Rapid Development
and Manufacturing Technology for Aircraft (Shenyang Aerospace
University) Ministry of Education Shenyang 110136 China |
| Xiaotong Li | |
| School of Mechatronics
Engineering Shenyang Aerospace University Shenyang, 110136 China |
Key Laboratory of Rapid Development
and Manufacturing Technology for Aircraft (Shenyang Aerospace
University) Ministry of Education Shenyang 110136 China |
| Junyi Wang | |
| Shenyang Institute of Automation,
Chinese Academy of Sciences Shenyang, 100196 China |
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| Jianwen Bao | |
| Shenyang Institute of Automation,
Chinese Academy of Sciences Shenyang, 100196 China |
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| Peng Gao | |
| AECC Hunan Aviation Powerplant
Research Institute Zhuzhou, 412002 China |
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| Xianjun Zeng | |
| College of Aerospace
Engineering Chongqing University Chongqing, 400044 China |
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| Peng Nie | |
| School of Mechatronics
Engineering Shenyang Aerospace University Shenyang, 110136 China |
Key Laboratory of Rapid Development
and Manufacturing Technology for Aircraft (Shenyang Aerospace
University) Ministry of Education Shenyang 110136 China |
| © 2025 MSP (Mathematical Sciences Publishers). |
