Comparison of Damage Detection Methods Depending on FRFs within Specified Frequency Ranges
Joint Authors
Source
Advances in Materials Science and Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-29
Country of Publication
Egypt
No. of Pages
9
Abstract EN
Structural damage can be detected using frequency response function (FRF) measured by an impact and the corresponding responses.
The change in the mechanical properties of dynamic system for damage detection can seldom be estimated using FRF data extracted from a very limited frequency range.
Proper orthogonal modes (POMs) from the FRFs extracted in given frequency ranges and their modified forms can be utilized as damage indices to detect damage.
The POM-based damage detection methods must be sensitive to the selected FRFs.
This work compares the effectiveness of the damage detection approaches taking the POMs estimated by the FRFs within five different frequency ranges including resonance frequency and antiresonance frequency.
It is shown from a numerical example that the POMs extracted from the FRFs within antiresonance frequency ranges provide more explicit information on the damage locations than the ones within resonance frequency ranges.
American Psychological Association (APA)
Kim, Yong-Su& Eun, Hee-Chang. 2017. Comparison of Damage Detection Methods Depending on FRFs within Specified Frequency Ranges. Advances in Materials Science and Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1124295
Modern Language Association (MLA)
Kim, Yong-Su& Eun, Hee-Chang. Comparison of Damage Detection Methods Depending on FRFs within Specified Frequency Ranges. Advances in Materials Science and Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1124295
American Medical Association (AMA)
Kim, Yong-Su& Eun, Hee-Chang. Comparison of Damage Detection Methods Depending on FRFs within Specified Frequency Ranges. Advances in Materials Science and Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1124295
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1124295