Parameter identification for structural health monitoring based on Monte Carlo method and likelihood estimate Article Swipe
Songtao Xue
,
Bo Wen
,
Rui Huang
,
Liyuan Huang
,
Tadanobu Sato
,
Liyu Xie
,
Hesheng Tang
,
Chunfeng Wan
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1177/1550147718786888
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1177/1550147718786888
Structural parameters are the most important factors reflecting structural performance and conditions. As a result, their identification becomes the most essential aspect of the structural assessment and damage identification for the structural health monitoring. In this article, a structural parameter identification method based on Monte Carlo method and likelihood estimate is proposed. With which, parameters such as stiffness and damping are identified and studied. Identification effects subjected to three different conditions with no noise, with Gaussian noise, and with non-Gaussian noise are studied and compared. Considering the existence of damage, damage identification is also realized by the identification of the structural parameters. Both simulations and experiments are conducted to verify the proposed method. Results show that structural parameters, as well as the damages, can be well identified. Moreover, the proposed method is much robust to the noises. The proposed method may be prospective for the application of real structural health monitoring.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1177/1550147718786888
- https://journals.sagepub.com/doi/pdf/10.1177/1550147718786888
- OA Status
- gold
- Cited By
- 6
- References
- 19
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2883483718
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2883483718Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1177/1550147718786888Digital Object Identifier
- Title
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Parameter identification for structural health monitoring based on Monte Carlo method and likelihood estimateWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2018Year of publication
- Publication date
-
2018-07-01Full publication date if available
- Authors
-
Songtao Xue, Bo Wen, Rui Huang, Liyuan Huang, Tadanobu Sato, Liyu Xie, Hesheng Tang, Chunfeng WanList of authors in order
- Landing page
-
https://doi.org/10.1177/1550147718786888Publisher landing page
- PDF URL
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https://journals.sagepub.com/doi/pdf/10.1177/1550147718786888Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://journals.sagepub.com/doi/pdf/10.1177/1550147718786888Direct OA link when available
- Concepts
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Identification (biology), Structural health monitoring, Monte Carlo method, Computer science, Noise (video), Gaussian, Stiffness, Structural engineering, Statistics, Mathematics, Artificial intelligence, Engineering, Physics, Image (mathematics), Biology, Botany, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1, 2023: 1, 2022: 1, 2020: 1Per-year citation counts (last 5 years)
- References (count)
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19Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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