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Using Sensors for Structural Health Monitoring

Pradeep Kumar S, Beenamol .

Abstract


Service condition, ageing, the kind of material used, and the structure's design all have a significant impact on how well a Civil Engineering structure performs. The serviceability, safety, and reliability of any structure must come first before performance. To monitor the structure, it is crucial to use a reliable technology that has undergone thorough evaluation and analysis. The Structural Health Monitoring (SHM) technology, which is used in many applications, is one that is accepted on a global scale. Increased service life of the structure is a result of SHM development's damage detection and analysis strategy. A key component of the SHM system is its use of sensors. The structures typically fail because of geometrical traits and material degradation that have a negative impact on their performance. The main goal of the SHM is to alert the system in the early stages of damage initiation and stop further disaster spread by ongoing structurally integrated sensor monitoring. By measuring displacement, strain estimation, impact, load, pH rate, fracture appearance, vibration signatures, humidity, and crack size, the SHM keeps an eye on the structure. In the study, two common types of sensors—those based on fiber optics and those based on piezoceramic materials—were experimentally evaluated. In this study, the future metrics, and difficulties in sensor development and SHM technology are highlighted.


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References


Rainieri C, Fabbrocino G, Song Y, Shanov V. Cnt composites for SHM: a literature review. 2011.

Peeters, B. & De Roeck, G. 2001 One-year monitoring of the Z24-bridge: environmental effects versus damage events. Earthq. Eng. Struct. Dyn. 30, 149–171.

Alves M M, Pirmez L, Rossetto S, Delicato F C, de Farias C M, Pires P F, dos Santos I L and Zomaya A Y 2017 Damage prediction for wind turbines using wireless sensor and actuator networks J. Netw. Comput. Appl. 80 123–40.

Ihn, J.B.; Chang, F.K. Detection and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: I. Diagnostics. Smart Mater. Struct. 2004, 13, 609.

P. C. Chang, A. Flatau, and S. C. Liu, “Review Paper: Health Monitoring of Civil Infrastructure,” Structural Health Monitoring: An International Journal, vol. 2, no. 3, pp. 257–267, Sep. 2003.

B. Aygun and V. C. Gungor, “Wireless sensor networks for structure health monitoring: recent advances and future research directions,” Sensor Review, vol. 31, no. 3, pp. 261–276, 2011.

Otto, C., Milenković, A., Sanders, C., Jovanov, E.: System architecture of a wireless body area sensor network for ubiquitous health monitoring. J. Mob. Multimed. 1, 307–326 (2006).

Yan, S., Ma, H., Li, P., Song, G., Wu, J.: Development and applicationof a structural health monitoring system based on wirelesssmart aggregates. Sensor 17, 1–16 (2017).

Yuan, S., Liang, D., Shi, L., Zhao, X., Wu, J., Li, G., Qiu, and L.:Recent progress on distributed structural health monitoringresearch at NUAA. J. Intell. Mater. Syst. Struct. 19, 373–386(2008).

Sun R. J., Sun L. M., and Sun Z. (2008), Application of FBG sensing technologies to large bridge structural health monitoring, Journal of Tongji University (Natural Science), 36(2): 149–154.

Zhu, H.P. (2009). Smart Method of Structural Damage Detection, Beijing: China Communications Press (in Chinese).

Li, H., Xiao, H.G. and Ou, J.P. (2008). Electrical property of cement-based composites filled with carbon black under long-term wet and loading condition. Composites Science and Technology, 68(9), 2114–2119.


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