Paul, S and Jafari, R orcid.org/0000-0001-7298-2363 (2018) Recent Advances in Intelligent-Based Structural Health Monitoring of Civil Structures. Advances in Science, Technology and Engineering Systems, 3 (5). pp. 339-353. ISSN 2415-6698
Abstract
This survey paper deals with the structural health monitoring systems on the basis of methodologies involving intelligent techniques. The intelligent techniques are the most popular tools for damage identification in terms of high accuracy, reliable nature and the involvement of low cost. In this critical survey, a thorough analysis of various intelligent techniques is carried out considering the cases involved in civil structures. The importance and utilization of various intelligent tools to be mention as the concept of fuzzy logic, the technique of genetic algorithm, the methodology of neural network techniques, as well as the approaches of hybrid methods for the monitoring of the structural health of civil structures are illustrated in a sequential manner.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
Keywords: | Structural health monitoring, Damage detection, Civil structures, Intelligent techniques |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 28 Jan 2020 14:53 |
Last Modified: | 28 Jan 2020 14:53 |
Status: | Published |
Publisher: | Advances in Science, Technology and Engineering Systems Journal (ASTESJ) |
Identification Number: | 10.25046/aj030540 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156073 |