Data-Driven Method for Reduced Order Modeling of Bliskswith Large and Small Mistuning Article Swipe
Mihai Cimpuieru
,
Sean T. Kelly
,
Bogdan I. Epureanu
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.13052/97887-438-0156-6_1
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.13052/97887-438-0156-6_1
Related Topics
Concepts
No concepts available.
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.13052/97887-438-0156-6_1
- https://www.riverpublishers.com/pdf/ebook/chapter/RP_9788743801689C1.pdf
- OA Status
- gold
- OpenAlex ID
- https://openalex.org/W4414868974
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4414868974Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.13052/97887-438-0156-6_1Digital Object Identifier
- Title
-
Data-Driven Method for Reduced Order Modeling of Bliskswith Large and Small MistuningWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-01Full publication date if available
- Authors
-
Mihai Cimpuieru, Sean T. Kelly, Bogdan I. EpureanuList of authors in order
- Landing page
-
https://doi.org/10.13052/97887-438-0156-6_1Publisher landing page
- PDF URL
-
https://www.riverpublishers.com/pdf/ebook/chapter/RP_9788743801689C1.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.riverpublishers.com/pdf/ebook/chapter/RP_9788743801689C1.pdfDirect OA link when available
- Cited by
-
0Total citation count in OpenAlex
Full payload
| id | https://openalex.org/W4414868974 |
|---|---|
| doi | https://doi.org/10.13052/97887-438-0156-6_1 |
| ids.doi | https://doi.org/10.13052/97887-438-0156-6_1 |
| ids.openalex | https://openalex.org/W4414868974 |
| fwci | 0.0 |
| type | article |
| title | Data-Driven Method for Reduced Order Modeling of Bliskswith Large and Small Mistuning |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | 10 |
| biblio.first_page | 1 |
| topics[0].id | https://openalex.org/T10700 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9607999920845032 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2210 |
| topics[0].subfield.display_name | Mechanical Engineering |
| topics[0].display_name | Metal Forming Simulation Techniques |
| topics[1].id | https://openalex.org/T11201 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9596999883651733 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2211 |
| topics[1].subfield.display_name | Mechanics of Materials |
| topics[1].display_name | Metallurgy and Material Forming |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| language | en |
| locations[0].id | doi:10.13052/97887-438-0156-6_1 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | |
| locations[0].pdf_url | https://www.riverpublishers.com/pdf/ebook/chapter/RP_9788743801689C1.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | proceedings-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Data Science in Engineering, Vol. 11 |
| locations[0].landing_page_url | https://doi.org/10.13052/97887-438-0156-6_1 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5083121786 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-6925-3335 |
| authorships[0].author.display_name | Mihai Cimpuieru |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Mihai Cimpuieru |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5103226525 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-5911-7559 |
| authorships[1].author.display_name | Sean T. Kelly |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Sean T. Kelly |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5068549665 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-1710-9278 |
| authorships[2].author.display_name | Bogdan I. Epureanu |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Bogdan I. Epureanu Epureanu |
| authorships[2].is_corresponding | False |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.riverpublishers.com/pdf/ebook/chapter/RP_9788743801689C1.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Data-Driven Method for Reduced Order Modeling of Bliskswith Large and Small Mistuning |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10700 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9607999920845032 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2210 |
| primary_topic.subfield.display_name | Mechanical Engineering |
| primary_topic.display_name | Metal Forming Simulation Techniques |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.13052/97887-438-0156-6_1 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://www.riverpublishers.com/pdf/ebook/chapter/RP_9788743801689C1.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | proceedings-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Data Science in Engineering, Vol. 11 |
| best_oa_location.landing_page_url | https://doi.org/10.13052/97887-438-0156-6_1 |
| primary_location.id | doi:10.13052/97887-438-0156-6_1 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | |
| primary_location.pdf_url | https://www.riverpublishers.com/pdf/ebook/chapter/RP_9788743801689C1.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | proceedings-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Data Science in Engineering, Vol. 11 |
| primary_location.landing_page_url | https://doi.org/10.13052/97887-438-0156-6_1 |
| publication_date | 2025-01-01 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index | |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.53341792 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |