Optimization Methods for Finite Element Analysis and Design describes recent developments in Finite Element Methods (FEM). It gives brief introduction of the applications of AI-based nature inspired metaheuristic algorithms and Machine Learning, at various stages of FEM. The book covers a range of state-of-the-art application areas including medical equipment, structural analysis, and machinery products.
It explores the applications of optimization and machine learning (ML) techniques in mesh smoothing, quality improvement, Laplacian and Taubin smoothing. The book also discusses the optimization of cable nets and steel frames using nature inspired metaheuristic methods.
Chapter 1: A brief review of different Optimization and Machine Learning techniques for Mesh Refinement. Chapter 2: Bridging Theory and Practice in Mesh Smoothing Techniques. Chapter 3: Static deformation of cable nets: The conic programming approach. Chapter 4: Design and Analysis of Gas Turbine Rotor Blade with Film Cooling for Aeronautical Applications. Chapter 5: Optimal Design of Frame Structures Based on The Finite Elements Analysis Using Fuzzy Jaya Algorithm. Chapter 6: Total Potential Optimization Using Metaheuristic Algorithms for Analysis of Structural Systems. Chapter 7: Optimal Design of Heat Exchanger Systems Using Marathon Runner Algorithm. Chapter 8: Cohesive Zone Modelling of Epoxy Bonded Composite Lap Joints under Cyclic Loading
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