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Analyzing factors affecting failure mode characteristics of CFRP strengthened reinforced concrete beams using deep residual neural networks and density-based sensitivity analysis

Crossref DOI link: https://doi.org/10.1007/s41062-025-02438-4

Published Online: 2026-01-27

Published Print: 2026-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Owais, Mahmoud https://orcid.org/0000-0002-1639-2120
Idriss, Lamiaa K.
Funding

Funding for this research was provided by:

Assiut University
License Information

Text and Data Mining valid from 2026-01-27

Version of Record valid from 2026-01-27
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Article History

Received: 24 May 2025

Accepted: 4 December 2025

First Online: 27 January 2026

Declarations

:

: The authors declare that they have no conflict of interest.

: This article does not contain any studies with human participants or animals performed by any of the authors. All authors have read and approved the final manuscript and agree to its submission to the journal.

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