Nonlinear ultrasonic evaluation of disorderedly clustered pitting damage using an in situ sensor network Article Swipe
Wuxiong Cao
,
Kai Wang
,
Pengyu Zhou
,
Xiongbin Yang
,
Lei Xu
,
Menglong Liu
,
Paul Fromme
,
Baojun Pang
,
Runqiang Chi
,
Zhongqing Su
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1177/1475921720911153
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1177/1475921720911153
Pervasive but insidious, pitting damage—from pitting corrosion in maritime structures through electrical pitting in bearings to debris cloud–induced pitting craters in spacecraft—is a typical modality of material degradation and lesion in engineering assets in harsh service environment. Pitting damage may feature hundreds of clustered, localized craters, cracks, and diverse microscopic defects (e.g. dislocation, micro-voids, and cracks) disorderedly scattered over a wide area. Targeting accurate, holistic evaluation of pitting damage (mainly the existence, location, and size of the pitted area), an insight into the generation of nonlinear features in guided ultrasonic waves (i.e. high-order harmonics) that are triggered by pitting damage, is achieved using a semi-analytical finite element approach, based on which a monotonic correlation between the nonlinear ultrasonic features and the holistic severity of pitting damage is established. With such correlation, a structural health monitoring framework is developed, in conjunction with the use of an in situ sensor network comprising miniaturized piezoelectric wafers, to characterize pitting damage accurately and monitor material deterioration progress continuously. The framework is experimentally validated, in which highly complex pitting damage in a space structure, engendered by a hypervelocity debris cloud, is evaluated precisely.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1177/1475921720911153
- OA Status
- green
- Cited By
- 18
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3017312548
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3017312548Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1177/1475921720911153Digital Object Identifier
- Title
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Nonlinear ultrasonic evaluation of disorderedly clustered pitting damage using an in situ sensor networkWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
-
2020-04-14Full publication date if available
- Authors
-
Wuxiong Cao, Kai Wang, Pengyu Zhou, Xiongbin Yang, Lei Xu, Menglong Liu, Paul Fromme, Baojun Pang, Runqiang Chi, Zhongqing SuList of authors in order
- Landing page
-
https://doi.org/10.1177/1475921720911153Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://ira.lib.polyu.edu.hk/bitstream/10397/95032/1/Cao_Nonlinear_Ultrasonic_Evaluation.pdfDirect OA link when available
- Concepts
-
Pitting corrosion, Ultrasonic sensor, Materials science, Impact crater, Hypervelocity, Piezoelectricity, Ultrasonic testing, Acoustics, Structural engineering, Composite material, Corrosion, Engineering, Physics, Astrobiology, ThermodynamicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
18Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 6, 2023: 3, 2022: 2, 2021: 4Per-year citation counts (last 5 years)
- References (count)
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43Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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