Optimization of Accelerometer Sensor Location In Arch Bridge Monitoring System Using The Sensor Elimination Using Capital Assurance Criterion (SEAMAC) Method

Authors

  • Qonita Ritonga Universitas Islam Riau
  • Mahadi Kurniawan Universitas Islam Riau
  • Firman Syarif Universitas Islam Riau
  • Panji Rachmat Setiawan Universitas Islam Riau
  • Heri Ahmadi Universitas Islam Riau
  • Citra Raveena Putri Universitas Islam Riau
  • Ferly Oktavia Universitas Maritim Raja Ali Haji

DOI:

https://doi.org/10.25299/saintis.2025.vol25(01).18997

Abstract

      In developing countries such as Indonesia, various fields of construction are currently being actively developed, especially bridge construction. Damage to the bridge structure itself requires very large repair costs. Currently, a monitoring system is being introduced to assess the condition of structures against dynamic loads, namely SHMS (Structural Health Monitoring System). The research aims to determine Finite Element Modeling, the optimal location, and several accelerometer sensors. To determine the condition of the arch bridge structure, it is necessary to detect damage through the results of the structural response recorded via the accelerometer sensor. In identifying the optimum number and location of sensors, the method used in this research is SEAMAC (Sensor Elimination Using Modal Assurance Criterion). Where this method is an algorithm method that performs an elimination on the sensor. The optimal placement of accelerometer sensors is determined using the Sensor Elimination Using Modal Assurance Criterion (SEAMAC) method, focusing on the floor plate and the bridge arch frame. Proper sensor placement is crucial as it yields important location data essential for identifying the modal characteristics of the bridge structure. In total, 16 accelerometer sensor locations were identified, with 8 sensors designated for both the floor plate and the arch frame.

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References

W. F. Darmawan, R. Suryanita, and Z. Djauhari, “Monitoring Kesehatan Struktur Rangka Gedung Tidak Beraturan Berdasarkan Hasil Sensor Akselerometer,” Jom FTEKNIK, vol. 4, no. 2, pp. 1–11, 2017.

(Direktorat Jenderal Bina Marga 2012), “(Direktorat Jenderal Bina Marga 2012,” Corresp. Análisis, no. 15018, pp. 1–23, 2016.

W. Apriani, F. Lubis, R. Suryanita, and E. N. Sari, “Perilaku Struktur Jembatan Baja Pelengkung Berdasarkan Spektrum Gempa,” J. Saintis, vol. 19, no. 02, p. 71, 2019, doi: 10.25299/saintis.2019.vol19(02).3924.

Reni Suryanita and A. Adnan, “Application of Neural Networks in Bridge,” Proc. Int. MultiConference Eng. Comput. Sci., vol. I, pp. 4–9, 2013.

Kementrian Pekerjaan Umum dan Perumahan Rakyat, “Rencana Strategis Direktorat Jenderal Bina Marga,” pp. 1–414, 2020.

S. J. Akbar, “Studi Eksperimen Perilaku Dinamik Jembatan Pci Girder Dengan Menggunakan Akselerometer,” Teras J., vol. 10, no. 2, p. 297, 2020, doi: 10.29103/tj.v10i2.353.

B. Sutandi, AC.,Pratama, “Evaluasi Awal Pemasangan Structural Health Monitoring System Pada Jembatan Suramadu,” Pros. Semin. Nas. Transp. yang Berkelanjutan, p. T-63, 2011.

C. Bedon, E. Bergamo, M. Izzi, and S. Noè, “Prototyping and Validation of MEMS Accelerometers for Structural Health Monitoring—The Case Study of the Pietratagliata Cable-Stayed Bridge,” J. Sens. Actuator Networks, vol. 7, no. 3, p. 30, Jul. 2018, doi: 10.3390/jsan7030030.

F. Nadziroh, S. Eko Setijadi, I. Wirawan, and D. Program Magister Bidang Keahlian Telekomunikasi Multimedia Jurusan Teknik Elektro Fakultas, “Design and Analysis of Power Consumption Management Wsn for Bridge Structural Health Monitoring System (Shms),” 2015.

M. Pastor, M. Binda, and T. Harčarik, “Modal assurance criterion,” Procedia Eng., vol. 48, pp. 543–548, 2012, doi: 10.1016/j.proeng.2012.09.551.

M. Papadopoulos and E. Garcia, “Sensor Placement Methodologies for Dynamic Testing,” AIAA J., vol. 36, no. 2, pp. 256–263, Feb. 1998, doi: 10.2514/2.7509.

D. S. Li, H. N. Li, and C. P. Fritzen, “The connection between effective independence and modal kinetic energy methods for sensor placement,” J. Sound Vib., vol. 305, no. 4–5, pp. 945–955, Sep. 2007, doi: 10.1016/j.jsv.2007.05.004.

J. C. Avendano, L. D. Otero, and C. Otero, “Optimization of Sensor Placement in a Bridge Structural Health Monitoring System,” in 2021 IEEE International Systems Conference (SysCon), IEEE, Apr. 2021, pp. 1–5. doi: 10.1109/SysCon48628.2021.9447077.

T. H. Yi, X. Wang, and H. N. Li, “Optimal Placement of Triaxial Accelerometers Using Modal Kinetic Energy Method,” Appl. Mech. Mater., vol. 166–169, pp. 1583–1586, May 2012, doi: 10.4028/www.scientific.net/AMM.166-169.1583.

E. Zugasti, A. Gómez González, J. Anduaga, M. A. Arregui, and F. Martínez, “NullSpace and AutoRegressive damage detection: A comparative study,” Smart Mater. Struct., vol. 21, no. 8, 2012, doi: 10.1088/0964-1726/21/8/085010.

arch bridge

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Published

2025-04-30

How to Cite

[1]
Q. Ritonga, “Optimization of Accelerometer Sensor Location In Arch Bridge Monitoring System Using The Sensor Elimination Using Capital Assurance Criterion (SEAMAC) Method”, SAINTIS, vol. 25, no. 01, pp. 1–10, Apr. 2025.

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