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Quantitative Acoustic Emission for Damage Detection in Complex Geometries.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Quantitative Acoustic Emission for Damage Detection in Complex Geometries./
作者:	Zhang, Lu.
面頁冊數:	1 online resource (153 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Contained By:	Dissertation Abstracts International79-12B(E).
標題:	Civil engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780438266544

Quantitative Acoustic Emission for Damage Detection in Complex Geometries.
Zhang, Lu.

Quantitative Acoustic Emission for Damage Detection in Complex Geometries. - 1 online resource (153 pages)

Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.

Thesis (Ph.D.)--University of Illinois at Chicago, 2018.

Includes bibliographical references

Acoustic Emission (AE) method is a passive nondestructive evaluation (NDE) method based on the release of elastic waves by active flaws in structures. Since 1950s, the AE method has been applied as a qualitative NDE method to detect discontinuities by real time monitoring. While the AE method is successful in identifying and localizing active flaws, the method has not been fully utilized as a quantitative NDE method due to several challenges: unknown conversion behavior of sensor, complex source mechanism and influence of background noise. In this study, the goal is to address the major challenges of AE in terms of sensor behavior, influence of operational noise, and quantitative AE measurement and contribute our effort to achieve better understandings of acoustic emission. The study has three major components: (i) The multi-physics numerical models of AE sensors are built and validated by experiments. (ii) With the proper design of the laboratory scale test, the fatigue crack growth is simulated, and the corresponding AE signals are collected. Spline geometry of helicopter gearbox system is selected as the test structure to simulate a complex geometry and integrate with the field data obtained from the NAVAIR test facility. (iii) The recorded AE signals are embedded into the streamed signals obtained from the NAVAIR prototype test to evaluate the detectable AE signal in highly noisy operational environment and develop an efficient signal processing method. The purpose is to show the ability to extract fatigue crack signal embedded in noise signal and released from a complex geometry.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780438266544Subjects--Topical Terms:

561339
Civil engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Quantitative Acoustic Emission for Damage Detection in Complex Geometries.
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504 $a Includes bibliographical references
520 $a Acoustic Emission (AE) method is a passive nondestructive evaluation (NDE) method based on the release of elastic waves by active flaws in structures. Since 1950s, the AE method has been applied as a qualitative NDE method to detect discontinuities by real time monitoring. While the AE method is successful in identifying and localizing active flaws, the method has not been fully utilized as a quantitative NDE method due to several challenges: unknown conversion behavior of sensor, complex source mechanism and influence of background noise. In this study, the goal is to address the major challenges of AE in terms of sensor behavior, influence of operational noise, and quantitative AE measurement and contribute our effort to achieve better understandings of acoustic emission. The study has three major components: (i) The multi-physics numerical models of AE sensors are built and validated by experiments. (ii) With the proper design of the laboratory scale test, the fatigue crack growth is simulated, and the corresponding AE signals are collected. Spline geometry of helicopter gearbox system is selected as the test structure to simulate a complex geometry and integrate with the field data obtained from the NAVAIR test facility. (iii) The recorded AE signals are embedded into the streamed signals obtained from the NAVAIR prototype test to evaluate the detectable AE signal in highly noisy operational environment and develop an efficient signal processing method. The purpose is to show the ability to extract fatigue crack signal embedded in noise signal and released from a complex geometry.
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