An optimization method for vibration suppression and energy dissipation of an axially moving string with hybrid nonclassical boundaries
An optimization method for vibration suppression and energy dissipation of an axially moving string with hybrid nonclassical boundaries
The axially moving string model is widely used in engineering applications and is of great significance in research. To suppress transverse vibration and facilitate energy dissipation of the axially moving string with nonclassical boundaries, a bi-objective optimization model and methodology are proposed for its boundary parameters’ design. First, an approximate numerical model for an axially moving string with a nonclassical boundary is established, which is based on the finite element method (FEM) and Newmark-beta method. Then, a bi-objective model is proposed, including the average transverse vibration and the average system energy in a single traveling wave period, and a particle swarm optimization (BOPSO) algorithm is established for optimization. Finally, the proposed optimization model is applied in a numerical example, and the results are compared with NSGA-II, a multi-objective cuckoo search algorithm (MOCSA), and multi-objective flower pollination algorithm (MOFPA) to verify the feasibility of the proposed methodology.
Axially moving string, Bi-objective optimization design, Nonclassical boundary, Particle swarm optimization
1177–1187
Wu, Yuanfeng
6ee200c9-07f2-417b-b198-71cebbc82d15
Chen, Enwei
808a82ee-6f26-4047-bd12-9e6a1e55c6fa
Ferguson, Neil
8cb67e30-48e2-491c-9390-d444fa786ac8
He, Yuteng
b7f7ab54-7de2-4aa6-a6cd-30466bd1d7ee
Wei, Haozheng
ce89cb77-b7ce-4db9-a214-394c308bbcdf
Lu, Yimin
101c1e80-fe48-41a5-ae43-d1e5e141f2c2
March 2023
Wu, Yuanfeng
6ee200c9-07f2-417b-b198-71cebbc82d15
Chen, Enwei
808a82ee-6f26-4047-bd12-9e6a1e55c6fa
Ferguson, Neil
8cb67e30-48e2-491c-9390-d444fa786ac8
He, Yuteng
b7f7ab54-7de2-4aa6-a6cd-30466bd1d7ee
Wei, Haozheng
ce89cb77-b7ce-4db9-a214-394c308bbcdf
Lu, Yimin
101c1e80-fe48-41a5-ae43-d1e5e141f2c2
Wu, Yuanfeng, Chen, Enwei, Ferguson, Neil, He, Yuteng, Wei, Haozheng and Lu, Yimin
(2023)
An optimization method for vibration suppression and energy dissipation of an axially moving string with hybrid nonclassical boundaries.
Journal of Mechanical Science and Technology, 37 (3), .
(doi:10.1007/s12206-023-0204-4).
Abstract
The axially moving string model is widely used in engineering applications and is of great significance in research. To suppress transverse vibration and facilitate energy dissipation of the axially moving string with nonclassical boundaries, a bi-objective optimization model and methodology are proposed for its boundary parameters’ design. First, an approximate numerical model for an axially moving string with a nonclassical boundary is established, which is based on the finite element method (FEM) and Newmark-beta method. Then, a bi-objective model is proposed, including the average transverse vibration and the average system energy in a single traveling wave period, and a particle swarm optimization (BOPSO) algorithm is established for optimization. Finally, the proposed optimization model is applied in a numerical example, and the results are compared with NSGA-II, a multi-objective cuckoo search algorithm (MOCSA), and multi-objective flower pollination algorithm (MOFPA) to verify the feasibility of the proposed methodology.
Text
An optimization method for vibration suppression and energy dissipation of the axially moving string with hybrid nonclassical boundaries
- Accepted Manuscript
More information
Accepted/In Press date: 8 December 2022
e-pub ahead of print date: 23 February 2023
Published date: March 2023
Additional Information:
Funding Information:
This work is supported by the National Natural Science Foundation of China under Grant No. 51675150 and 51305115, and the Natural Science Foundation of Anhui Province under Grant No. 2208085ME130.
Publisher Copyright:
© 2023, The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature.
Keywords:
Axially moving string, Bi-objective optimization design, Nonclassical boundary, Particle swarm optimization
Identifiers
Local EPrints ID: 473265
URI: http://eprints.soton.ac.uk/id/eprint/473265
ISSN: 1738-494X
PURE UUID: 50465384-0470-493d-9ba7-9e196bdc12fd
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Date deposited: 13 Jan 2023 17:30
Last modified: 17 Mar 2024 07:36
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Contributors
Author:
Yuanfeng Wu
Author:
Enwei Chen
Author:
Yuteng He
Author:
Haozheng Wei
Author:
Yimin Lu
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