Comparison of Damage Detection Methods Depending on FRFs within Specified Frequency Ranges

Joint Authors

Eun, Hee-Chang
Kim, Yong-Su

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