Inverse characterization of composites using guided waves and convolutional neural networks with dual-branch feature fusion Article Swipe
Mahindra Rautela
,
Armin Huber
,
J. Senthilnath
,
S. Gopalakrishnan
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1080/15376494.2021.1982090
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1080/15376494.2021.1982090
In this work, ultrasonic guided waves and a dual-branch version of convolutional neural networks are used to solve two different but related inverse problems, i.e., finding layup sequence type and identifying material properties. In the forward problem, polar group velocity representations are obtained for two fundamental Lamb wave modes using the stiffness matrix method. For the inverse problems, a supervised classification-based network is implemented to classify the polar representations into different layup sequence types (inverse problem - 1) and a regression-based network is utilized to identify the material properties (inverse problem -2).
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/15376494.2021.1982090
- OA Status
- green
- Cited By
- 22
- References
- 52
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W3207070882Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1080/15376494.2021.1982090Digital Object Identifier
- Title
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Inverse characterization of composites using guided waves and convolutional neural networks with dual-branch feature fusionWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-10-07Full publication date if available
- Authors
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Mahindra Rautela, Armin Huber, J. Senthilnath, S. GopalakrishnanList of authors in order
- Landing page
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https://doi.org/10.1080/15376494.2021.1982090Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2204.10486Direct OA link when available
- Concepts
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Inverse, Inverse problem, Feature (linguistics), Convolutional neural network, Lamb waves, Computer science, Artificial neural network, Algorithm, Artificial intelligence, Pattern recognition (psychology), Mathematics, Mathematical analysis, Surface wave, Geometry, Telecommunications, Philosophy, LinguisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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22Total citation count in OpenAlex
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2025: 3, 2024: 9, 2023: 5, 2022: 5Per-year citation counts (last 5 years)
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52Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| best_oa_location.is_published | False |
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| best_oa_location.landing_page_url | http://arxiv.org/abs/2204.10486 |
| primary_location.id | doi:10.1080/15376494.2021.1982090 |
| primary_location.is_oa | False |
| primary_location.source.id | https://openalex.org/S87569533 |
| primary_location.source.issn | 1537-6494, 1537-6532 |
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| primary_location.source.issn_l | 1537-6494 |
| primary_location.source.is_core | True |
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| primary_location.source.display_name | Mechanics of Advanced Materials and Structures |
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| primary_location.source.host_organization_name | Taylor & Francis |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320547 |
| primary_location.source.host_organization_lineage_names | Taylor & Francis |
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| primary_location.raw_type | journal-article |
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| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Mechanics of Advanced Materials and Structures |
| primary_location.landing_page_url | https://doi.org/10.1080/15376494.2021.1982090 |
| publication_date | 2021-10-07 |
| publication_year | 2021 |
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