Optimization of multiple tuned mass dampers for vibration control of a nonlinear beam

This research focuses on optimizing tuned mass dampers (TMDs) to achieve maximum vibration suppression in beam structures. We thoroughly investigate both the linear and nonlinear dynamic behaviors of an Euler-Bernoulli beam system. The complex mathematical model of the coupled beam-TMDs system is precisely developed using Hamilton’s principle. A key contribution of this study is its exploration of the incremental effect of adding absorbers, determining optimal parameters as each TMD is progressively integrated. Another novel aspect is the simultaneous optimization of each TMD’s position, stiffness, and damping coefficient. We utilize the particle swarm optimization (PSO) method to achieve this, with the objective of minimizing the area under the system’s response curve. This provides critical insights into improving the dynamic performance and robustness of both linear and nonlinear beam systems.

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Publication Details

Journal
Scientific Reports
Published
2026-04-17
DOI
https://doi.org/10.1038/s41598-026-46499-6
Primary Topic
Vibration Control and Rheological Fluids
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimization of multiple tuned mass dampers for vibration control of a nonlinear beam

Ayman M. M. Abdelhaleem, Ayman E. Nabawy, Abanob Zakaria
Scientific Reports
Vibration Control and Rheological Fluids
article

Optimization of multiple tuned mass dampers for vibration control of a nonlinear beam

Ayman M. M. Abdelhaleem, Ayman E. Nabawy, Abanob Zakaria
article en

Abstract

This research focuses on optimizing tuned mass dampers (TMDs) to achieve maximum vibration suppression in beam structures. We thoroughly investigate both the linear and nonlinear dynamic behaviors of an Euler-Bernoulli beam system. The complex mathematical model of the coupled beam-TMDs system is precisely developed using Hamilton’s principle. A key contribution of this study is its exploration of the incremental effect of adding absorbers, determining optimal parameters as each TMD is progressively integrated. Another novel aspect is the simultaneous optimization of each TMD’s position, stiffness, and damping coefficient. We utilize the particle swarm optimization (PSO) method to achieve this, with the objective of minimizing the area under the system’s response curve. This provides critical insights into improving the dynamic performance and robustness of both linear and nonlinear beam systems.

Scientific ReportsVol. 16(1)
Zagazig University (EG)
Science and Technology Development Fund, Zagazig University
Affordable and clean energy
Openalex Percentile: Top 22%
Vibration Control and Rheological Fluids
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