Computational Modeling of Graphene Based Building
Ms. Chinmayee Jadhav*1, Mr. Raju Narwade*2
*1ME Student, Civil Engineering Department Pillai HOC College of Engineering and Technology Pillai HOCL Educational Campus, HOCL Colony Rasayani, Tal: Khalapur, Dist: Raigad-410207.
*2 Head of Department, Civil Engineering Department, Pillai HOC College of Engineering and Technology Pillai HOCL Educational Campus, HOCL Colony Rasayani, Tal: Khalapur, Dist: Raigad-410207.
ABSTRACT
The rapid evolution of material science and computational technologies has positioned graphene as a transformative element in the future of sustainable building design. This study explores the integration of graphene-based materials—such as graphene-enhanced concrete, coatings, and insulation—into modern construction through advanced computational modeling. With its exceptional mechanical, thermal, and electrical properties, graphene significantly enhances the strength, durability, and energy efficiency of structural components. The research employs a hybrid digital framework utilizing Building Information Modeling (BIM), Finite Element Analysis (FEA), and life-cycle assessment (LCA) to simulate and optimize the structural behavior and environmental performance of graphene-integrated systems. BIM allows for virtual prototyping and interdisciplinary collaboration, while FEA enables precise simulation of graphene composites under seismic, wind, and load-bearing conditions. Life-cycle assessments quantify carbon emissions, material longevity, and sustainability impacts. A comprehensive literature review underscores the growing interest in graphene's use in construction, while also highlighting current limitations such as cost, scalability, and regulatory gaps. This study concludes that the convergence of nanotechnology and computational tools can lead to the next generation of intelligent, resilient, and low-carbon infrastructure. The future scope envisions real-time sensor integration, smart materials, and scalable green synthesis, establishing graphene as a cornerstone of high-performance, data-driven architecture.
Keywords: Graphene-enhanced construction, computational modeling, BIM, FEA, sustainable materials, smart infrastructure.
