Review of Advances in Computational Mechanics
Keywords:
Computational Mechanics, Finite Element Analysis (Fea), Computational Fluid Dynamics (Cfd), Multi-Body Dynamics (Mbd), Machine Learning Integration, Digital Twins, Bio-Inspired Optimization, Autonomous Systems, Engineering Simulation, Future DirectionsAbstract
Computational mechanics has become an indispensable tool in the field of mechanical engineering, enabling engineers and researchers to simulate complex systems, predict their behavior, and optimize designs. This review article provides an in-depth overview of recent advancements in computational mechanics, focusing on finite element analysis (FEA), computational fluid dynamics (CFD), and multi-body dynamics (MBD). Key methodologies, challenges, and future directions in these areas are discussed, with a focus on their applications in various engineering domains. The integration of high-performance computing, advanced numerical algorithms, and machine learning techniques has propelled computational mechanics to new heights, allowing for more accurate and efficient simulations. This review aims to provide insights into the state-of-the-art techniques, their applications, and the emerging trends that shape the future of mechanical engineering mechanics.