Refined analytical frameworks for enhancing friction angle prediction in fiber-reinforced soil through advanced computational methodologies.
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| Title: | Refined analytical frameworks for enhancing friction angle prediction in fiber-reinforced soil through advanced computational methodologies. |
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| Authors: | Xin, Yu1, xinyu_cf1005@126.com |
| Source: | Journal of Engineering & Applied Science; 7/1/2026, Vol. 73 Issue 1, p1-20, 20p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 194995677 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194995677 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s44147-026-01107-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1 Titles: – TitleFull: Refined analytical frameworks for enhancing friction angle prediction in fiber-reinforced soil through advanced computational methodologies. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Xin, Yu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 7/1/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 11101903 Numbering: – Type: volume Value: 73 – Type: issue Value: 1 Titles: – TitleFull: Journal of Engineering & Applied Science Type: main |
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