Explainable Machine Learning for Punching Shear and Post-Failure Integrity

Ahmed N. Elbelacy, Hassan Mohamed Ibrahim, Mina A. Mikaeel, Andrew Gouda

Open source

DOI: 10.3390/ma19204351
Published: 2026-10-16
Container: Materials
Publisher: MDPI AG
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.3390/ma19204351,
  title = {Explainable Machine Learning for Punching Shear and Post-Failure Integrity},
  author = {Ahmed N. Elbelacy and Hassan Mohamed Ibrahim and Mina A. Mikaeel and Andrew Gouda},
  year = {2026},
  journal = {Materials},
  doi = {10.3390/ma19204351},
  url = {https://doi.org/10.3390/ma19204351}
}

RIS

TY  - JOUR
TI  - Explainable Machine Learning for Punching Shear and Post-Failure Integrity
AU  - Ahmed N. Elbelacy
AU  - Hassan Mohamed Ibrahim
AU  - Mina A. Mikaeel
AU  - Andrew Gouda
PY  - 2026
JO  - Materials
DO  - 10.3390/ma19204351
UR  - https://doi.org/10.3390/ma19204351
ER  -

APA

Elbelacy, A. N., Ibrahim, H. M., Mikaeel, M. A., & Gouda, A. (2026). Explainable Machine Learning for Punching Shear and Post-Failure Integrity. Materials. https://doi.org/10.3390/ma19204351

Source records

crossref · retrieved 2026-11-09T19:33:06.617Z