Behzad Farivar
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
PhD student
Also affiliated: University of Tabriz (2018)
Graduate Student Researcher
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Behzad Farivar's research focuses on materials science and engineering, specifically investigating the properties and applications of concrete and cementitious materials. His work includes studying the effects of mixture design parameters on the performance of belitic calcium sulfoaluminate concrete. He has also explored the application of the maturity method to belitic calcium sulfoaluminate cement concrete. Additionally, Farivar has applied machine learning models to analyze the rigidity of welded shear tab connections. His scholarly output includes four publications with 33 citations and an h-index of 2. Farivar has collaborated with Cameron D. Murray and Edgar Soriano Somarriba at the University of Arkansas at Fayetteville.
Metrics
- h-index: 2
- Publications: 4
- Citations: 33
Selected Publications
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Application of the Maturity Method to Belitic Calcium Sulfoaluminate Cement Concrete (2026)
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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
- Application of the Maturity Method to Belitic Calcium Sulfoaluminate Cement Concrete
- 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
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