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Original scientific article
Published: September 2025
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https://doi.org/10.70102/afts.2025.1833.135

MEMS-ENABLED VIBRATION MONITORING AND DIAGNOSTIC EVALUATION FOR LONG-TERM HEALTH ASSESSMENT OF SWARNAMUKHI AND BHAKTA KANNAPPA SETHU BRIDGES IN SRIKALAHASTI

By
K. Asha Latha Orcid logo ,
K. Asha Latha

Jawaharlal Nehru Technological University Anantapur , Anantapur , India

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K. Narasimhulu Orcid logo
K. Narasimhulu

Mohan Babu University (MBU) , Tirupati , India

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Abstract

This study presents a year-long vibration-based structural health monitoring (SHM) of the Swarnamukhi River Bridge and Bhakta Kannappa Sethu Bridge using a MEMS accelerometer integrated with a low-cost microcontroller system. The monthly dynamic response parameters of acceleration, displacement, frequency, and velocity were monitored from June 2024 to May 2025 under four traffic loads (Low to Peak). Advanced diagnostic indices including Normalized Dynamic Index (NDI), Dynamic Performance Ratio (DPR), Stiffness Degradation Index (SDI), and Health Stability Index (HSI) were computed to assess real-time structural integrity. Results revealed Bhakta Kannappa exhibited higher dynamic variability, with peak displacement and velocity reaching 1.418 mm and 0.03742 m/s. In contrast, Swarnamukhi exhibited higher stiffness and frequency stability, with peak values of 0.02931 m/s and 1.088 mm, respectively. Swarnamukhi's greater stability up to 358.00 was supported by HSI values, but Bhakta Kannappa's lower HSI (< 50) indicated wider reaction variations. Seasonal diagnostic trends have documented the effects of heat and stress accumulation caused by traffic. In situations where resources are limited, the combination of inexpensive MEMS (Micro-Electro-Mehanical Systems) sensors and diagnostic indices offers a potent foundation for continuous SHM, facilitating predictive maintenance and enhancing bridge resilience.

Keywords:

SHM,
mems accelerometer,
NDI,
HSI,
bridge diagnostics,
real-time monitoring,
infrastructure durability.

References

1.
Farrar CR, Worden K. An introduction to structural health monitoring. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2007;365(1851):303–15.
2.
Shinde M, Salunkhe SL, Pawar SS, Khyade VB. Influence of the topical application acetone solution of Vitamin A (Retinol) to the fifth instar larvae of the silkworm, Bombyx mori (L) (Race: PM x CSR2) on the economic parameters. International Academic Journal of Innovative Research. 2018;5(1):24–31.
3.
Mohod MV. Performance of fiber reinforced concrete. Int J Eng Sci. 2013;2(5):1–4.
4.
Shirkani S, Ghanbari E, Maleki S. Assessment of the relationship between infrastructures of knowledge management and organizational performance in petrochemical company of Mehr. International Academic Journal of Organizational Behavior and Human Resource Management. 2014;1(1):80–95.
5.
Sohn H, Farrar CR, Hemez FM, Shunk DD, Stinemates DW, Nadler BR, et al. A review of structural health monitoring literature: 1996-2001. Los Alamos National Laboratory, USA. 2003;1(16):10–2989.
6.
Jabinpour A, Bafghi AY, Gholamnejad J. Application of Vibration in Longwall Top Coal Caving Method. 2016;3(2):102–9.
7.
Çelebi M. Seismic instrumentation of buildings (with emphasis on federal buildings). Report No. 0-7460-68170, United States Geological Survey. Menlo Park, CA. 2002;
8.
Yazdkhasty A, Khorasani MS, Bidgoli AM. Prediction of stress coping styles based on spiritual intelligence in nurses. International Academic Journal of Social Sciences. 2016;3(2):61–70.
9.
Hou R, Xia Y, Chen W. Temperature effect on vibration properties of long-span steel box girder bridge. J Bridge Eng. 2016;21(4):4015081.
10.
Chidambaram KR, Rajan P. Designing intrusion detection systems for maritime wireless sensor networks and smart port infrastructures. Journal of Internet Services and Information Security. 2025;15(2):858–70.
11.
Lynch JP, Loh KJ. A summary review of wireless sensors and sensor networks for structural health monitoring. . Shock and vibration digest. 2006;38(2):91–130.
12.
Moyo P, Brownjohn JM. Detection of anomalous structural behaviour using wavelet analysis. . Mechanical Systems and Signal Processing. 2002;16(2–3):429–45.
13.
Nagayama T, Spencer Jr BF. Structural health monitoring using smart sensors. Newmark Structural Engineering Laboratory Report Series 001. 2007;
14.
Park G, Rosing T, Todd MD, Farrar CR, Hodgkiss W. Energy Harvesting for Structural Health Monitoring Sensor Networks. Journal of Infrastructure Systems. 2008;14(1):64–79.
15.
Gao Y, Spencer Jr BF, Ruiz-Sandoval M. Distributed computing strategy for structural health monitoring. Structural Control and Health Monitoring: The Official Journal of the International Association for Structural Control and Monitoring and of the European Association for the Control of Structures. 2006;13(1):488–507.

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This is an open access article distributed under the  Creative Commons Attribution Non-Commercial License (CC BY-NC) License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 

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