Identification of the Flexural Stiffness of Prestressed Concrete Beams Under Multi-Point Source Force Loading Based on Physics-Informed Neural Networks.
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| Title: | Identification of the Flexural Stiffness of Prestressed Concrete Beams Under Multi-Point Source Force Loading Based on Physics-Informed Neural Networks. |
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| Authors: | Ma, Lin1, Tang, Jianbiao2, Guo, Zengwei1,2, zengweiguo@cqjtu.edu.cn, Wang, Zhe1,2 |
| Source: | Applied Sciences (2076-3417); Apr2026, Vol. 16 Issue 8, p3916, 24p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 193440688 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Identification of the Flexural Stiffness of Prestressed Concrete Beams Under Multi-Point Source Force Loading Based on Physics-Informed Neural Networks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Ma%2C+Lin%22">Ma, Lin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Tang%2C+Jianbiao%22">Tang, Jianbiao</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Guo%2C+Zengwei%22">Guo, Zengwei</searchLink><relatesTo>1,2</relatesTo>, <i>zengweiguo@cqjtu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Zhe%22">Wang, Zhe</searchLink><relatesTo>1,2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Apr2026, Vol. 16 Issue 8, p3916, 24p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193440688 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app16083916 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 3916 Titles: – TitleFull: Identification of the Flexural Stiffness of Prestressed Concrete Beams Under Multi-Point Source Force Loading Based on Physics-Informed Neural Networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ma, Lin – PersonEntity: Name: NameFull: Tang, Jianbiao – PersonEntity: Name: NameFull: Guo, Zengwei – PersonEntity: Name: NameFull: Wang, Zhe IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 16 – Type: issue Value: 8 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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