Detection of structural damage and estimation of reliability using a multidimensional monitoring approach
Many structural elements are exposed to load conditions that are difficult to model during the design phase, such as environmental uncertainties, random impacts, and overloading, amongst others, thus increasing unprogrammed maintenance and reducing confidence in the reliability of the structure in question. One way to deal with this problem is to monitor the structural condition of the element. This approach requires supervising several signals coming from critical locations and then performing an accurate condition estimation of the element in question based on the data collected. This study implements a method to diagnose and evaluate the reliability of the bolster beam structure of the railway vehicle during a fatigue test. The results show that multidimensional monitoring not only diagnoses the element accurately but also results in correct estimation of reliability.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/09544097
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Supplemental Notes:
- Reprinted by permission of Sage Publications, Ltd.
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Authors:
- Ortiz, JO
- Betancur, German R
- Gómez, J
- Castañeda, Leonel F
- Zaja¸c, G
- Gutiérrez-Carvajal, RE
- Publication Date: 2018-4
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 1021-1032
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Serial:
- Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
- Volume: 232
- Issue Number: 4
- Publisher: Sage Publications Limited
- ISSN: 0954-4097
- EISSN: 2041-3017
- Serial URL: http://pif.sagepub.com/content/current
Subject/Index Terms
- TRT Terms: Data fusion; Fatigue tests; Monitoring; Railroad cars; Reliability; Strain measurement; Structural analysis
- Subject Areas: Railroads; Vehicles and Equipment;
Filing Info
- Accession Number: 01667511
- Record Type: Publication
- Files: TRIS
- Created Date: Apr 27 2018 12:21PM