Abstract
In the innovation and development of intelligent materials, civil engineering structure health monitoring system belongs to the system with modern information engineering software as the core development platform. High-performance sensors and related testing technology provide a new idea for the construction of civil engineering structure intelligent health monitoring system. The civil engineering health monitoring special structure provides a unique platform and completes the relevant design, the civil engineering structure design work for dynamic monitoring, but also can judge the characteristics of the application structure and the environment, in order to achieve the maintenance of the civil engineering structure. In this paper, the application performance of the intelligent health monitoring system platform for civil engineering structures based on intelligent sensing materials is further analyzed based on the research achievements of Chinese researchers in the recent years.
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References
Legatiuk, D., Smarsly, K.: An abstract approach towards modeling intelligent structural systems. In: The 9th European Workshop on Structural Health Monitoring (EWSHM) (2018)
Koo, K.Y., Park, S., Lee, J.J., et al.: Automated impedance-based structural health monitoring incorporating effective frequency shift for compensating temperature effects. J. Intell. Mater. Syst. Struct. 20(4), 367–377 (2009)
Swartz, R.A.: Reduced order modal-space wireless control of civil engineering structures. Springer, New York (2011)
Jia, Y.: Health monitoring system of structures based on intelligent sensing technology. Steel Constr. (2010)
Watkins, S.E.: Smart bridges with fiber-optic sensors. IEEE Instrum. Meas. Mag. 6(2), 25–30 (2003)
Jones, J., Wu, H.F., Diaz, A.A., et al.: A scaleable integrated sensing and control system for NDE, monitoring, and control of medium to very large composite smart structures. In: Proc SPIE, 6531:65310J-65310J-10 (2007)
Smarsly, K., Law, K.H., König, M.: Resource-efficient wireless monitoring based on mobile agent migration. In: Proceedings of SPIE—The International Society for Optical Engineering, 7984 (2011)
Hlab, C., Wg, A., Mmh, A., et al.: Rapid detection of chloramphenicol in food using SERS flexible sensor coupled artificial intelligent tools. Food Control (2021)
Joan, P.I., Filip, O., Pavol, U., et al.: LoopGrafter: A web tool for transplanting dynamical loops for protein engineering. Nucleic Acids Res. (2022)
Gong, Y., Zhang, Y.Z., Fang, S., et al.: Artificial intelligent optoelectronic skin with anisotropic electrical and optical responses for multi-dimensional sensing. Appl. Phys. Rev. 9 (2022)
Lilov, M., Siebel, T.: An electromechanical impedance-based mobile system for structural health monitoring and reliability check of bonded piezoelectric sensors. Springer International Publishing (2016)
Hu, J., Zhang, H., Bian, K., et al.: metasensing: Intelligent metasurface assisted RF 3D sensing by deep reinforcement learning. IEEE J. Sel. Areas Commun. (99), 1–1 (2021)
Lei, J.A., et al.: A stick-like intelligent multicolor nano-sensor for the detection of tetracycline: the integration of nano-clay and carbon dots—ScienceDirect. J. Hazard. Mater. (2021)
Zhang, M., Zhang, X., Mo, J., et al.: Brake uneven wear of high-speed train intelligent monitoring using an ensemble model based on multi-sensor feature fusion and deep learning. Eng. Fail. Anal. 137, 106219 (2022)
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Pu, J., Han, X. (2023). Civil Engineering Structure Intelligent Sensing Sensor and Health Monitoring System. In: Kountchev, R., Nakamatsu, K., Wang, W., Kountcheva, R. (eds) Proceedings of the World Conference on Intelligent and 3-D Technologies (WCI3DT 2022). Smart Innovation, Systems and Technologies, vol 323. Springer, Singapore. https://doi.org/10.1007/978-981-19-7184-6_55
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DOI: https://doi.org/10.1007/978-981-19-7184-6_55
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