Application of Artificial Neural Networks for developing a crack detection algorithm

B PRAKRUTHI, GOWD and DIVYA, VANI B and MANJUNATH, N HEGDE (2017) Application of Artificial Neural Networks for developing a crack detection algorithm. In: Seventh International Conference on Advances in Civil, Structural and Mechanical Engineering - ACSM 2017, 23-24 September 2017, Bangkok, Thailand.

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Abstract

As the demand for the safety and functionality of civil structures is increasing continuously, structure health monitoring (SHM) has now become more and more important. Recent developments in artificial intelligence is offering great potentials to develop a more efficient, reliable, and robust structure damage detection system. In this paper, the application of artificial neural networks is investigated and an intelligent structural damage detection algorithm is developed and also an uncertainty study is made to check the robustness of the algorithm developed.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Damage Detection, Artificial Neural Network, Sensitivity Analysis.
Depositing User: Mr. John Steve
Date Deposited: 10 Mar 2019 11:58
Last Modified: 10 Mar 2019 11:58
URI: http://publications.theired.org/id/eprint/324

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