Application of the Random Decrement Technique in Damage Detection under Moving Load Article Swipe
Hadi Kordestani
,
Yiqiang Xiang
,
Xiao‐Wei Ye
,
Yakun Jia
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.3390/app8050753
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.3390/app8050753
This paper employs the random decrement technique as an output-only method to detect damage from the acceleration signals under a moving load. The random decrement technique is an especial averaging method that produces Random Decrement Signatures (RDS). For this purpose, Arias Intensity (AI) was employed to calculate the energy content of each RDS and substitute each acceleration signal by a scalar invariant value. Normalizing AIs, all RDSs were then updated so as to show a unique energy along the undamaged structure. Once the normalizing factor was computed for the intact structure, the damage was determined by the absolute difference of normalized AIs obtained from each individual RDS along the structure simultaneously. To verify the proposed method, two experimental models of a simply supported beam and a scaled arch bridge were developed under a moving load (vehicle simulation), and acceleration data were recorded. The results of laboratory models proved that the RDSs can accurately detect the damage location using the normalized AI without applying any further frequency filtering. This method needs neither the damage location nor modal parameters in advance, and could properly work in a noisy environment as well.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/app8050753
- https://www.mdpi.com/2076-3417/8/5/753/pdf?version=1526990276
- OA Status
- gold
- Cited By
- 29
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2800459209
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2800459209Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/app8050753Digital Object Identifier
- Title
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Application of the Random Decrement Technique in Damage Detection under Moving LoadWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2018Year of publication
- Publication date
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2018-05-09Full publication date if available
- Authors
-
Hadi Kordestani, Yiqiang Xiang, Xiao‐Wei Ye, Yakun JiaList of authors in order
- Landing page
-
https://doi.org/10.3390/app8050753Publisher landing page
- PDF URL
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https://www.mdpi.com/2076-3417/8/5/753/pdf?version=1526990276Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2076-3417/8/5/753/pdf?version=1526990276Direct OA link when available
- Concepts
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Acceleration, Modal, Energy (signal processing), Moving load, Computer science, Algorithm, Structural engineering, Mathematics, Statistics, Engineering, Physics, Materials science, Finite element method, Classical mechanics, Polymer chemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
29Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 3, 2023: 6, 2022: 4, 2021: 5Per-year citation counts (last 5 years)
- References (count)
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32Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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