Advancements in Computational Analysis for Jet Engine Optimization: A Review of CFD, Structural Analysis, and Multidisciplinary Approaches

The evolution of jet engine technology has been profoundly influenced by advancements in computational analysis, particularly in Computational Fluid Dynamics (CFD), structural analysis, and multidisciplinary optimization. This review explores state-of-the-art computational techniques applied to jet engine analysis, emphasizing their applications, benefits, and inherent challenges. CFD has become an essential tool, enabling detailed simulations of complex aerodynamic and combustion processes. Methods such as Large Eddy Simulations (LES) and Direct Numerical Simulations (DNS) have provided deeper insights into turbulence and combustion dynamics, leading to improved efficiency and reduced emissions. However, these high-fidelity simulations entail significant computational costs, driving the development of more efficient algorithms and high-performance computing resources. The integration of structural analysis with aerodynamic simulations has facilitated the design of components capable of withstanding extreme operational conditions, thereby enhancing engine reliability and safety. Multidisciplinary Design Optimization (MDO) frameworks have further transformed engine design by simultaneously evaluating multiple performance metrics, resulting in configurations that balance efficiency, weight, and durability. Despite these advances, challenges remain in accurately modeling complex physical phenomena such as combustion instabilities and material behavior under high temperatures. The incorporation of machine learning techniques offers promising solutions to address these issues by complementing traditional computational methods with data-driven insights. Looking ahead, the future of computational analysis in jet engine development lies in the seamless integration of high-fidelity simulations, real-time data analytics, and adaptive modeling, paving the way for more efficient, reliable, and sustainable propulsion systems.