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Articles | Advanced Mechanical and Mechatronic Systems | Volume 1 - Issue 1 - 2025 | 29-51 |
© 2025 by the author(s), and is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) License Creative Commons Attribution 4.0 International (CC BY 4.0) License

Finite Element Analysis and Vibration Signal Processing Techniques To Determine the Frequency Response in Bridge Health Monitoring Study

Author(s): Yogi Reza Ramadhan 1 , Muhammad Nazri 2 , Seno Adi Putra 3 ORCID https://orcid.org/0000-0001-7356-8084 , Marina Riviani Rompas 1 , Januar Panca Adi 1 , Natalino Fonseca D. S. Guterres 4 ORCID https://orcid.org/0000-0002-1854-6410 , Salustiano dos Reis Piedade 4
Author(s) information:
1 CV. Rekayasa Desain Manufaktur (REDESMA), Tembalang, Semarang, Indonesia
2 Department of Electrical Engineering, Universiti Teknologi Brunei, Brunei Darussalam
3 School of Industrial and System Engineering, Telkom University, Bandung, Indonesia
4 Mechanical Engineering Department, Dili Institute of Teknology, Rua de Aimeti Laran, Aimutin Dili, Timor Leste

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Advanced Mechanical and Mechatronic Systems

Volume 1 - Issue 1 - 2025

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Ensuring the structural integrity of large-scale bridges is critical worldwide, particularly in Indonesia. The integration of modern digital technologies significantly enhances this effort. A bridge health monitoring system is a vital tool for collecting data, allowing authorities to assess bridge conditions and refine inspection methods. Vibration responses measured using accelerometers, offer valuable insights into a bridge’s structural health. However, the complexity of vibration signals requires advanced signal processing techniques to extract meaningful information. Empirical Mode Decomposition (EMD) and Wavelet Packet Decomposition (WPD) are two promising methods for analyzing such complex signals. Given the large scale of bridge structures and the limited number of sensors typically available, researchers often use Finite Element Analysis (FEA) to simulate and predict vibration responses. For example, a study on the Cisomang Bridge in Bandung, Indonesia, employed FEA to model the bridge’s vibration characteristics. The first natural frequency identified was approximately 4.732 Hz, which served as a reference for further analysis. By integrating FEA models with advanced signal processing methods, the system aims to deliver reliable tools for monitoring and maintaining bridge health, thereby improving infrastructure safety and longevity.

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SUBMITTED: 02 May 2025
ACCEPTED: 19 June 2025
PUBLISHED: 1 July 2025
SUBMITTED to ACCEPTED: 49 days

Cite this article
Reza Ramadhan, Y., Nazri, M. ., Adi Putra, S. ., Rompas, M. R. ., Adi, J. P. ., Guterres, N. F. D. S. ., & Piedade, S. dos R. . (2025). Finite Element Analysis and Vibration Signal Processing Techniques To Determine the Frequency Response in Bridge Health Monitoring Study. Advanced Mechanical and Mechatronic Systems, 1(1), 29–51. Retrieved from https://tecnoscientifica.com/journal/amms/article/view/675
Keywords
Bridge Health Monitoring Vibration Signal Analysis Empirical Mode Decomposition (EMD) Wavelet Packets Decomposition (WPD) Finite Element Analysis (FEA) Structural Integrity
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