Study of factors affecting the magnetic sensing capability of shape memory alloys for non-destructive evaluation of cracks in concrete: Using response surface methodology (RSM) and artificial neural network (ANN) approaches

Study of factors affecting the magnetic sensing capability of shape memory alloys for non-destructive evaluation of cracks in concrete: Using response surface methodology (RSM) and artificial neural network (ANN) approaches

Currently, the field of structural health monitoring (SHM) is focused on investigating non-destructive evaluation techniques for the identification of damages in concrete structures. Magnetic sensing has particularly gained attention among the innovative non-destructive evaluation techniques. Recent...

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Bibliographic Details
Main Authors: Hifsa Khurshid, Bashar S. Mohammed, Naraindas Bheel, Willy Anugrah Cahyadi, Husneni Mukhtar
Format: Article
Language:English
Published: Elsevier 2024-08-01
Series:Heliyon
Subjects:
Structural health monitoring
Magnetic sensing
Magnetic shape memory alloy
Non-destructive evaluation
Artificial neural network
Response surface methodology
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024118038

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http://www.sciencedirect.com/science/article/pii/S2405844024118038

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