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Recent Advances in Intelligent-Based Structural Health Monitoring of Civil Structures
School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, Nuevo Leon, Mexico.ORCID iD: 0000-0003-4720-0897
Centre for Artificial Intelligence Research (CAIR), University of Agder, Grimstad, Norway.
2018 (English)In: Advances in Science, Technology and Engineering Systems Journal (ASTESJ), E-ISSN 2415-6698, Vol. 3, no 5, p. 339-353Article, review/survey (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Advances in Science, Technology and Engineering Systems Journal , 2018. Vol. 3, no 5, p. 339-353
Keywords [en]
structural health monitoring
National Category
Engineering and Technology Control Engineering
Identifiers
URN: urn:nbn:se:oru:diva-71778DOI: 10.25046/aj030540OAI: oai:DiVA.org:oru-71778DiVA, id: diva2:1281952
Available from: 2019-01-23 Created: 2019-01-23 Last updated: 2019-01-25Bibliographically approved

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Paul, Satyam

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