A Review of Low-Cost Sensor-Based Structural Health Monitoring Systems for Beam-Level Experimental Testing
Author
Kathirvannan SN, Dharanaivel G, Dr. A. Vennila
Abstract
Structural health monitoring (SHM) provides a systematic approach for measuring structural response, identifying abnormal behavior, and supporting maintenance decisions. Conventional laboratory and field monitoring systems can provide high accuracy, but sensors, signal-conditioning hardware, data-acquisition systems, and software may be expensive for small-scale educational experiments. This review examines low-cost sensing and open-source data-acquisition technologies for beam-level structural monitoring, with emphasis on load cells, strain sensors, displacement measurement, microcontrollers, and warning systems. Recent literature shows that strain-based sensing remains important because strain is associated with stress, deformation, stiffness changes, and structural performance, while load cells provide direct measurement of applied force. Arduino-class microcontrollers and low-cost analog interfaces have also been demonstrated for laboratory and field measurements. The review compares conventional and low-cost approaches, identifies practical limitations such as calibration, electrical noise, installation, sampling rate, environmental effects, and validation, and proposes a compact architecture for a miniature wooden beam using a load cell positioned above the beam, a surface-mounted strain sensor, an Arduino controller, and controlled loading by weight stones or a hydraulic syringe. The evidence indicates that such systems are valuable for experimental education and preliminary SHM research when calibration and validation are performed.
Keywords
Structural health monitoring; low-cost sensors; strain measurement; load cell; Arduino; data acquisition; beam testing; experimental methods; early warning.
Full Text:
Download Paper PDF
References
[1] Glisic, B. (2022). Concise Historic Overview of Strain Sensors Used in the Monitoring of Civil Structures: The First One Hundred Years. Sensors, 22(6), 2397. https://doi.org/10.3390/s22062397
[2] Das, S., & Saha, P. (2018). A review of some advanced sensors used for health diagnosis of civil engineering structures. Measurement, 129, 68–90. https://doi.org/10.1016/j.measurement.2018.07.008
[3] Hassani, S., & Dackermann, U. (2023). A systematic review of advanced sensor technologies for non-destructive testing and structural health monitoring. Sensors, 23(4), 2204. https://doi.org/10.3390/s23042204
[4] Mousa, M. A., Yussof, M. M., Hussein, T. S., Assi, L. N., & Ghahari, S. (2023). A Digital Image Correlation Technique for Laboratory Structural Tests and Applications: A Systematic Literature Review. Sensors, 23(23), 9362. https://doi.org/10.3390/s23239362
[5] Ma, Y., Choi, H., & Sohn, H. (2023). Structural displacement sensing techniques for civil infrastructure: A review. Journal of Infrastructure, Intelligence and Resilience, 2(3), 100041. https://doi.org/10.1016/j.iintel.2023.100041
[6] Mishra, M., Lourenço, P. B., & Ramana, G. V. (2022). Structural health monitoring of civil engineering structures by using the Internet of Things: A review. Journal of Building Engineering, 48, 103954. https://doi.org/10.1016/j.jobe.2021.103954
[7] Bhatta, S., & Dang, J. (2024). Use of IoT for structural health monitoring of civil engineering structures: A state-of-the-art review. Urban Lifeline. https://doi.org/10.1007/s44285-024-00031-2
[8] Komarizadehasl, S., et al. (2021). Development of a Low-Cost System for the Accurate Measurement of Structural Vibrations. Sensors, 21(18), 6191. https://doi.org/10.3390/s21186191
[9] Komarizadehasl, S., et al. (2022). Low-Cost Wireless Structural Health Monitoring of Bridges. Sensors, 22(15), 5725. https://doi.org/10.3390/s22155725
[10] Silva, J. L., Varanis, O. J., & Mereles, A. G. (2019). A study of strain and deformation measurement using the Arduino microcontroller and strain gauges devices. Revista Brasileira de Ensino de Física, 41(3). https://doi.org/10.1590/1806-9126-RBEF-2018-0206
[11] Amran, M., & Ali, M. (2025). Evaluating the Performance of an Arduino-Based Strain Sensor System in a Cantilever Beam using Plastic Ruler Under Load Conditions. Enhanced Knowledge in Sciences and Technology, 5(1), 125–131.
[12] Konotop, I., & Nikitin, A. (2026). Development and experimental validation of a microcontroller-based strain gauge system for monitoring the elastic-deformed state of structural elements. Open Information and Computer Integrated Technologies, 108.
[13] Ghosh, S., et al. (2020). Real-Time structural health monitoring for concrete beams: a cost-effective Industry 4.0 solution using Piezo Sensors. International Journal of Building Pathology and Adaptation. https://doi.org/10.1108/IJBPA-12-2019-0111
[14] Zhang, Y., et al. (2024). A Review on Concrete Structural Properties and Damage Evolution Monitoring Techniques. Sensors, 24(2), 620. https://doi.org/10.3390/s24020620
[15] Janeliukstis, R., & Chen, X. (2021). Digital image correlation for large-scale composite structures: A review. Composite Structures, 271, 114143. https://doi.org/10.1016/j.compstruct.2021.114143
Share your valuable work from Social Media Buttons