IDENTIFIKASI CEPAT PARAMETER DINAMIK JEMBATAN RANGKA BAJA BERBASIS LOW-COST SENSOR

Authors

  • Alan Putranto POLITAP
  • Nur Aida POLITAP
  • Agung Iswandi POLITAP
  • Khairul Muttaqin POLITAP

Keywords:

structural health monitoring, ambient vibration test, smartphone accelerometer, damping ratio, bridge inspection

Abstract

Bridges are vital transportation infrastructures subject to dynamic loads from traffic and environmental influences, which can degrade structural performance over time. Conventional structural health monitoring (SHM) systems are often limited by cost and complexity. This study investigates the use of embedded smartphone accelerometers and the ambient vibration test (AVT) method to identify dynamic parameters of steel truss bridges in Ketapang, West Kalimantan. The study employs a non-destructive, low-cost approach by using daily traffic as a natural excitation source. Several bridges were selected based on service lifetime, visible damage, and functional condition. Data collection was performed using the Resonance Android application, which records acceleration and processes it into frequency spectra. Dominant frequencies and damping ratios were extracted from the results. Field measurements on Pawan 1 and Pawan 2 bridges indicate that several dynamic parameters, including frequency, displacement, and damping ratio, exceed standard limits, suggesting possible structural degradation. These findings demonstrate that smartphone-based monitoring can provide preliminary diagnostic insights and support decisions for more advanced, cost-intensive evaluations.

References

DAFTAR PUSTAKA

AASHTO. (2020). LRFD bridge design specifications (9th ed.). Washington, DC: American Association of State Highway and Transportation Officials.

Battini, L., & Cederholm, I. (2024). Innovating smartphones as intelligent sensors for bridge data collection: Utilizing iPhone’s accelerometer for structural health monitoring (Master’s thesis). KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science.

Cao, H., Liu, Z., Xu, X., & Wu, Z. (2024). Vibration-based methods for local damage identification of breathing cracks in truss-like structures. Journal of Sound and Vibration, 592, 118646.

EN 1998-1. (2004). Eurocode 8: Design of structures for earthquake resistance – Part 1: General rules, seismic actions and rules for buildings. Brussels: European Committee for Standardization.

Inman, D. J. (2013). Engineering vibrations (4th ed., International ed.). Harlow, England: Pearson Education. ISBN: 9780273785217.

Komarizadehasl, S., Xia, Y., Komary, M., & Lozano, F. (2024). Eigenfrequency analysis of bridges using a smartphone and a novel low-cost accelerometer prototype. Frontiers of Structural and Civil Engineering, 18(2), 202–215.

Lin, T. H., Chang, C. T., & Putranto, A. (2024). Tiny machine learning empowers climbing inspection robots for real-time multiobject bolt-defect detection. Engineering Applications of Artificial Intelligence, 133, 108618.

Lin, T. H., Putranto, A., Chen, P. H., Teng, Y. Z., & Chen, L. (2023). High-mobility inchworm climbing robot for steel bridge inspection. Automation in Construction, 152, 104905.

Matarazzo, T. J., Kondor, D., Milardo, S., Eshkevari, S. S., Santi, P., Pakzad, S. N., ... & Ratti, C. (2022). Crowdsourcing bridge dynamic monitoring with smartphone vehicle trips. Communications Engineering, 1(1), 29.

Ozer, E., & Kromanis, R. (2024). Smartphone prospects in bridge structural health monitoring, a literature review. Sensors, 24(11), 3287.

Putranto, A., Lin, T. H., & Tsai, P. T. (2025). Digital twin-enabled robotics for smart tag deployment and sensing in confined space. Robotics and Computer-Integrated Manufacturing, 95, 102993.

Qu, C., Tu, G., Gao, F., Sun, L., Pan, S., & Chen, D. (2024). Review of bridge structure damping model and identification method. Sustainability, 16(21), 9410.

SNI 1725:2016. (2016). Pembebanan untuk jembatan. Jakarta: Badan Standardisasi Nasional.

Talebi-Kalaleh, M., & Mei, Q. (2024). Damage detection in bridge structures through compressed sensing of crowdsourced smartphone data. Structural Control and Health Monitoring, 2024(1), 5436675.

Downloads

Published

2025-11-27

How to Cite

Alan Putranto, Nur Aida, Agung Iswandi, & Khairul Muttaqin. (2025). IDENTIFIKASI CEPAT PARAMETER DINAMIK JEMBATAN RANGKA BAJA BERBASIS LOW-COST SENSOR . Prosiding Seminar Nasional Terapan Riset Inovatif (SENTRINOV), 11(1), 205 - 211. Retrieved from https://proceeding.isas.or.id/index.php/sentrinov/article/view/1700