Behzad Farivar Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
PhD student
grad_student
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Biography and Research Information
OverviewAI-generated summary
Behzad Farivar is a PhD student at the University of Arkansas at Fayetteville. His research focuses on materials science and engineering, with a particular emphasis on concrete mixtures and structural connections. Farivar has investigated the effects of mixture design parameters on the properties of belitic calcium sulfoaluminate concrete, contributing to the understanding of advanced construction materials. Additionally, his work explores the application of machine learning models to assess the rigidity of welded shear tab connections, indicating an interest in computational methods for structural analysis.
Farivar has co-authored three publications and has accumulated 33 citations, with an h-index of 2. He collaborates with Cameron D. Murray at the University of Arkansas at Fayetteville, with whom he shares two publications. His recent work in 2023 and 2024 demonstrates his ongoing engagement in research within his field.
Metrics
- h-index: 2
- Publications: 3
- Citations: 33
Selected Publications
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Machine learning models on the rigidity of welded shear tab connections (2024)
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Effects of mixture design parameters on the properties of belitic calcium sulfoaluminate concrete (2023)
Collaboration Network
Top Collaborators
- Effects of mixture design parameters on the properties of belitic calcium sulfoaluminate concrete
- Machine learning models on the rigidity of welded shear tab connections
- Effects of mixture design parameters on the properties of belitic calcium sulfoaluminate concrete
- Effects of mixture design parameters on the properties of belitic calcium sulfoaluminate concrete
- Machine learning models on the rigidity of welded shear tab connections
- Machine learning models on the rigidity of welded shear tab connections