International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 06 | Jun 2025
p-ISSN: 2395-0072
www.irjet.net
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 Graphene, a two-dimensional carbon allotrope, possesses exceptional mechanical, electrical, and thermal properties, making it a promising material for enhancing traditional building materials. This study investigates the integration of graphene-based materials into building design using advanced computational tools, such as Building Information Modeling (BIM) and energy analysis software. These tools are employed to model, simulate, and optimize the use of graphene in construction materials like concrete, insulation, and coatings. The methodology includes selecting appropriate graphene derivatives, creating detailed digital models, optimizing material placement, and evaluating performance through simulations. ANSYS and Avogadro software are used to analyze graphene-based materials at varying scales, from molecular structures to macroscopic behaviors. The study reveals that graphene can improve the strength, durability, and sustainability of buildings, particularly by reinforcing concrete, enhancing thermal properties, and enabling self-healing capabilities. Despite its potential, challenges related to cost, scalability, and regulatory standards are also addressed. The research highlights the importance of computational tools in facilitating the integration of graphene-based materials into building design, ensuring safer, more efficient, and environmentally responsible construction. This study contributes to the growing body of knowledge surrounding graphene's role in construction and emphasizes its transformative potential in sustainable building design.
Keywords: Graphene, building materials, computational modeling, Building Information Modeling (BIM), energy analysis, concrete reinforcement, thermal properties, self-healing materials, ANSYS, sustainability.
I. INTRODUCTION Graphene, a single layer of carbon atoms arranged in a honeycomb lattice, was first isolated in 2004 by Andre Geim and Konstantin Novoselov, who received the Nobel Prize in Physics in 2010 for this discovery. Graphene's exceptional mechanical, electrical, and thermal properties, including high tensile strength, outstanding electrical conductivity, and thermal conductivity greater than copper, have made it a valuable material for construction. In 2024, the global graphene market was valued at USD 1.1 billion, with construction applications expected to drive market growth, predicted to exceed USD 2.5 billion by 2030. Graphene can enhance traditional building materials like concrete, steel, and glass, creating lighter, stronger, and more durable structures. Its electrical conductivity enables the development of smart materials, paving the way for energyefficient and responsive smart buildings. Advanced software tools, including Building Information Modeling (BIM), finite element analysis (FEA), and computational fluid dynamics (CFD), play a crucial role in optimizing the design of grapheneenhanced materials. These tools allow precise simulations of graphene's interaction with construction materials, predicting performance under various conditions. Despite its promise, challenges such as high production costs and scalability remain, but with ongoing research and development, graphene is poised to revolutionize the future of construction, fostering sustainable, technologically advanced infrastructures.
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