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Construction Materials and Their Properties for Fire Resistance and Insulation covers the properties of novel types of concrete and other more conventional building materials in fire scenarios. The volume also stands out as an invaluable reference resource for its relevance to varied audiences both in academia and industry, spanning materials science, civil and structural engineering, and fire safety engineering. Ensuring buildings are fire safe starts at the very beginning of planning new builds or renovations. Hence, it’s essential, in fact, that the right materials are chosen not only according to their load-bearing capabilities but also their susceptibility to decay and fire resistance.
Author Biography
Paul Awoyera is an Associate Professor and a Researcher in the areas of concrete structures, structural retrofitting, sustainable/innovative construction materials, fire resistance, non-destructive testing, data science, and applied Artificial Intelligence. He has over 12 years of experience in structural engineering consulting, teaching, and research. He obtained his PhD Degree in Civil Engineering from Covenant University, Nigeria.
Dr. Awoyera completed a one-year Post-Doctoral research, focusing on lightweight composite development using paper and ceramic wastes, at the University of KwaZulu-Natal, Durban, South Africa. He was awarded the prestigious Split-Site PhD Scholarship by the Commonwealth Scholarship Commission in the United Kingdom, which was tenable at the University of Nottingham, United Kingdom.
Dr. Awoyera is a registered engineer with the Council for the Regulation of Engineering in Nigeria (COREN), a member of the International Association for Engineers (IAENG), and a corporate member of the Nigeria Society of Engineers(NSE). He has published over 100 articles in leading publishing outlets and served as the editor/editorial board member and reviewer for numerous international journals. M. Z. Naser is a tenure-track Assistant Professor at the Department of Civil and Environmental Engineering and Earth Sciences and a member of the Artificial Intelligence Research Institute for Science and Engineering (AIRISE) at Clemson University. At the moment, his research group is creating causal & eXplainable machine learning methodologies to discover new knowledge hidden within systems belonging to the domains of structural engineering and materials science to help realize functional, sustainable, and resilient infrastructure. He is currently serving as the chair of the ASCE Advances in Information Technology committee and on a number of international editorial boards, as well as codal building committees (in ASCE, ACI, PCI, and FiB). He is a registered professional engineer in the states of Michigan and South Carolina.
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