Optimization Methods for Finite Element Analysis and Design

1. Auflage 2025
ISBN: 978-1-032-93210-1
Verlag: Taylor & Francis Ltd

Buch, Englisch, 192 Seiten, Format (B × H): 178 mm x 254 mm

Reihe: Advances in Metaheuristics

Optimization Methods for Finite Element Analysis and Design describes recent developments in Finite Element Methods (FEM). It gives a brief introduction of the applications of AI-based nature-inspired metaheuristic algorithms and machine learning (ML) 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 ML techniques in mesh smoothing, quality improvement and Laplacian and Taubin smoothing. The book also discusses the optimization of cable nets and steel frames using nature-inspired metaheuristic methods.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Kale, Ishaan R.

Venkata Rao, Ravipudi

Bureerat, Sujin

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Mathematik | Informatik Mathematik Topologie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

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 Modeling of Epoxy Bonded Composite Lap Joints under Cyclic Loading

Über Autor(innen)

Ishaan R Kale holds a Ph.D. in Nature-Inspired Optimization Techniques from Symbiosis International University. He received his MEng in Mechanical Design Engineering from Maharashtra Institute of Technology, Pune University and BEng from North Maharashtra University. His research interest includes Design Engineering, Constraint Handling, Metaheuristic Optimization Algorithms and Hybrid Metaheuristics.

Sujin Bureerat received the B.Eng. degree in Mechanical Engineering from Khon Kaen University, Thailand, and the Ph.D. degree in Engineering from Manchester University, United Kingdom. He is a Professor with the Department of Mechanical Engineering, Khon Kaen University. His research interests include: multidisciplinary design optimization, metaheuristics, aeroelasticity, and aircraft design.

Ravipudi Venkata Rao is a renowned mechanical engineering academic specializing in optimization techniques, design, and manufacturing. With significant contributions to nature-inspired metaheuristic algorithms, he has authored numerous books and research papers, influencing fields like structural optimization, computational mechanics, and intelligent manufacturing systems worldwide.