Behzad Farivar Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

PhD student

University of Arkansas at Fayetteville

grad_student

2 h-index 3 pubs 32 cited

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OverviewAI-generated summary

Behzad Farivar is a PhD student at the University of Arkansas at Fayetteville. His research focuses on the properties of concrete mixtures and the application of machine learning to structural engineering problems. He has investigated the effects of mixture design parameters on belitic calcium sulfoaluminate concrete and developed machine learning models to predict the rigidity of welded shear tab connections. Farivar has three publications and has achieved an h-index of 2 with 32 citations. He has collaborated with Cameron D. Murray on two shared publications.

Metrics

h-index: 2
Publications: 3
Citations: 32

Selected Publications

Machine learning models on the rigidity of welded shear tab connections (2024) DOI
Effects of mixture design parameters on the properties of belitic calcium sulfoaluminate concrete (2023) DOI