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IoT- and NDT-Based Bridge Risk Assessment and Identification

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Advances in Fire and Process Safety

Abstract

Bridges are the essential part of the development of infrastructure of a nation. They are the best examples of engineering marvels which can withstand the degradation by nature and mankind. Bridges are very much prone to natural hazards like earthquake and flooding. They are also exposed to modern methods of transportation (e.g., ships, trains, truck overloading). The regular movement of vehicles, heavy machinery, and supported loads causes bridges to be tested on the stage of time. By designing and having proper regular maintenance, accident levels can be reduced which will further affect the durability of bridges. At the initial stage, the methods of hazard identification and risk assessment are essential for bridge design and construction. The given paper is an extension of NDT on the concept of resistive crack measurement system and IoT which will be used to sense the initial faults and presumed deformation that will be helpful in averting the disaster.

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Correspondence to Aditya Agarwal .

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Agarwal, A., Sharma, V., Shukla, V., Yadav, B.P., Singh, R. (2018). IoT- and NDT-Based Bridge Risk Assessment and Identification. In: Siddiqui, N., Tauseef, S., Abbasi, S., Rangwala, A. (eds) Advances in Fire and Process Safety. Springer Transactions in Civil and Environmental Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-7281-9_25

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  • DOI: https://doi.org/10.1007/978-981-10-7281-9_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7280-2

  • Online ISBN: 978-981-10-7281-9

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