Nanotechnology for Sustainable Highway: Nano clay Composites, AI Models, FEM Analysis, and Green Approaches in Highway Engineering

Sustainable road construction is a global challenge as traditional soil stabilization often relies on non-eco-friendly methods. This book explores the potential of nano-clay composites in enhancing soil subgrades for highway development. It integrates nanotechnology, civil engineering, and green chemistry through laboratory experiments, advanced material characterization (XRF, XRD, FTIR, SEM, TEM), and geotechnical tests (CBR, UCS, FSI, OMC, MDD). The study further applies machine learning models (KNN, Random Forest, SVR) and finite element simulations (ABAQUS) to predict soil behavior and optimize pavement design using national guidelines. Emphasizing sustainability, cost-effectiveness, and alignment with the United Nations SDGs, this book provides valuable insights for researchers, engineers, policymakers, and students seeking eco-friendly and resilient infrastructure solutions.