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-Reference-Cited by-同舟云学术

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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

Published:2024-08 Issue:15 Volume:10 Page:e35772
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Khurshid Hifsa^ORCID,Mohammed Bashar S.,Bheel Naraindas,Cahyadi Willy Anugrah,Mukhtar Husneni

Funder

Universiti Teknologi PETRONAS Fundamental and Applied Sciences Department

Publisher

Elsevier BV

Reference40 articles.

1. Concrete crack detection method based on optical fiber sensing network and microbending principle;Wu;Saf. Sci.,2019

2. Achievements and perspectives on Fe-based shape memory alloys for rehabilitation of reinforced concrete bridges: an overview;Qiang;Materials,2022

3. Structural health monitoring by magnetic sensing in concrete structures via embedded shape memory alloy components;Davis;MATEC Web Conf.,2019

4. An experimental study on static and dynamic strain sensitivity of embeddable smart concrete sensors doped with carbon nanotubes for SHM of large structures;Meoni;Sensors,2018

5. Piezoresistive strain sensors based on carbon nanotube networks: contemporary approaches related to electrical conductivity;Zhu;IEEE Nanotechnol. Mag.,2015

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