Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM

Research article (Engineering Structures, 2022) · cited 172× · AI/ML
Press Enter · cited answer in seconds

Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM

Summary

Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM is a scholarly article[1].

Key Facts

  • Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM. Retrieved May 24, 2026, from https://4ort.xyz/entity/explainable-machine-learning-model-and-reliability-analysis-for-flexural-capacity-prediction-of-rc-beams-strengthened-in
MLA “Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/explainable-machine-learning-model-and-reliability-analysis-for-flexural-capacity-prediction-of-rc-beams-strengthened-in.
BibTeX @misc{4ortxyz_explainable-machine-learning-model-and-reliability-analysis-for-flexural-capacity-prediction-of-rc-beams-strengthened-in_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM}}, year = {2026}, url = {https://4ort.xyz/entity/explainable-machine-learning-model-and-reliability-analysis-for-flexural-capacity-prediction-of-rc-beams-strengthened-in}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM — https://4ort.xyz/entity/explainable-machine-learning-model-and-reliability-analysis-for-flexural-capacity-prediction-of-rc-beams-strengthened-in (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/explainable-machine-learning-model-and-reliability-analysis-for-flexural-capacity-prediction-of-rc-beams-strengthened-in · Last refreshed: