Application of nanocomposite structures for managing operational costs in sports facilities using computer-based methods

Sports facilities encounter persistent difficulties in reconciling athlete safety and performance with the rising expenses of operation and maintenance. This study investigates the utilization of nanocomposite materials, augmented with nano-scale reinforcements like carbon nanotubes, in sports infrastructure, encompassing running tracks, court surfaces, gym flooring, and protective barriers. Computer-based modeling and machine learning optimization were utilized to design and simulate nanocomposite structures, with the objectives of prolonging service life, decreasing maintenance cycles, minimizing material replacement, and enhancing energy efficiency. The simulations forecast material performance under authentic loading and environmental conditions, offering significant insight into durability and functional behavior. Replacing extensive physical prototyping with virtual design tools significantly reduced development time and resource consumption. The results demonstrate that the incorporation of nanocomposites via computational design methodologies can yield sports facilities that are safer, more durable, and more sustainable, while simultaneously decreasing long-term operational expenses.