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Evaluating the Self-sensing Property of Carbon Fiber Incorporated Geopolymer Composite for Structural Health Monitoring Applications

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Advances in Sustainable Construction Materials

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 124))

Abstract

Periodic maintenance of structures is of prime importance to increase its durability and reduce its maintenance and repair cost. Health monitoring systems can be employed to record and monitor the accumulation of stresses. For this, a composite with good sensing ability is essential. The sensing ability of a composite can be evaluated by measuring its response to the external load. The response can be electrical. In this study, the self-sensing ability of carbon fiber incorporated geopolymer composite is discussed. The service life of conventional sensors such as strain gauge and fiber optic sensors is less due to their incompatibility ( Ackermann KC (2018), Self-Sensing concrete for structural health monitoring of smart infrastructures. Open Access Master’s Thesis. Paper 1285.). This demands a composite which is compatible with the concrete structures. The electrical response of geopolymer composite with carbon fibers in the percentages of 0.4, 0.6, 0.8 and 1 is evaluated and the electrical resistivity of the composites is evaluated at the age of 7 and 28 days. For the developed composites, the gauge factors are determined based on which the optimum percentage of carbon fiber for maximum sensitivity is evaluated.

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Acknowledgements

The authors wish to record their sincere and heartfelt thanks to Principle in Charge, Head of the Department, Former Head of the Department, Department of Civil Engineering, PSG College of Technology, Coimbatore.

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Correspondence to B. Nivetha .

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Nivetha, B., Suji, D. (2021). Evaluating the Self-sensing Property of Carbon Fiber Incorporated Geopolymer Composite for Structural Health Monitoring Applications. In: Biswas, S., Metya, S., Kumar, S., Samui, P. (eds) Advances in Sustainable Construction Materials. Lecture Notes in Civil Engineering, vol 124. Springer, Singapore. https://doi.org/10.1007/978-981-33-4590-4_64

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  • DOI: https://doi.org/10.1007/978-981-33-4590-4_64

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  • Online ISBN: 978-981-33-4590-4

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