A comparative study on crack identification of structures from the changes in natural frequencies using GA and PSO. Issue 7 (30th September 2014)
- Record Type:
- Journal Article
- Title:
- A comparative study on crack identification of structures from the changes in natural frequencies using GA and PSO. Issue 7 (30th September 2014)
- Main Title:
- A comparative study on crack identification of structures from the changes in natural frequencies using GA and PSO
- Authors:
- Mohan, S.C.
Yadav, Amit
Kumar Maiti, Dipak
Maity, Damodar - Abstract:
- <abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec> <title content-type="abstract-heading">Purpose</title> <p> – The early detection of cracks, corrosion and structural failure in aging structures is one of the major challenges in the civil, mechanical and aircraft industries. Common inspection techniques are time consuming and hence can have strong economic implications due to downtime. The paper aims to discuss these issues. </p> </sec> <sec> <title content-type="abstract-heading">Design/methodology/approach</title> <p> – As a result, during the past decade a number of methodologies have been proposed for detecting crack in structure based on variations in the structure's dynamic characteristics. This work showcases the efficacy of particle swarm optimization (PSO) and genetic algorithm (GA) in damage assessment of structures. </p> </sec> <sec> <title content-type="abstract-heading">Findings</title> <p> – Efficiency of these tools has been tested on structures like beam, plane and space truss. The results show the effectiveness of PSO in crack identification and the possibility of implementing it in a real-time structural health monitoring system for aircraft and civil structures. </p> </sec> <sec> <title content-type="abstract-heading">Originality/value</title> <p> – The methodology presented establishes the PSO as robust and competent tool over GA for crack identification using changes in natural frequencies.</p> </sec><abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec> <title content-type="abstract-heading">Purpose</title> <p> – The early detection of cracks, corrosion and structural failure in aging structures is one of the major challenges in the civil, mechanical and aircraft industries. Common inspection techniques are time consuming and hence can have strong economic implications due to downtime. The paper aims to discuss these issues. </p> </sec> <sec> <title content-type="abstract-heading">Design/methodology/approach</title> <p> – As a result, during the past decade a number of methodologies have been proposed for detecting crack in structure based on variations in the structure's dynamic characteristics. This work showcases the efficacy of particle swarm optimization (PSO) and genetic algorithm (GA) in damage assessment of structures. </p> </sec> <sec> <title content-type="abstract-heading">Findings</title> <p> – Efficiency of these tools has been tested on structures like beam, plane and space truss. The results show the effectiveness of PSO in crack identification and the possibility of implementing it in a real-time structural health monitoring system for aircraft and civil structures. </p> </sec> <sec> <title content-type="abstract-heading">Originality/value</title> <p> – The methodology presented establishes the PSO as robust and competent tool over GA for crack identification using changes in natural frequencies.</p> </sec> </abstract> … (more)
- Is Part Of:
- Engineering computations. Volume 31:Issue 7(2014)
- Journal:
- Engineering computations
- Issue:
- Volume 31:Issue 7(2014)
- Issue Display:
- Volume 31, Issue 7 (2014)
- Year:
- 2014
- Volume:
- 31
- Issue:
- 7
- Issue Sort Value:
- 2014-0031-0007-0000
- Page Start:
- 1514
- Page End:
- 1531
- Publication Date:
- 2014-09-30
- Subjects:
- Computer-aided engineering -- Periodicals
Computer graphics -- Periodicals
620.00285 - Journal URLs:
- http://info.emeraldinsight.com/products/journals/journals.htm?id=ec ↗
http://www.emeraldinsight.com/journals.htm?issn=0264-4401 ↗
http://www.emeraldinsight.com/0264-4401.htm ↗
http://www.emeraldinsight.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1108/EC-02-2013-0061 ↗
- Languages:
- English
- ISSNs:
- 0264-4401
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3758.580800
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 4145.xml