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Home > Science, Technology & Agriculture > Transport technology and trades > Aerospace and aviation technology > Advances in Aerospace Engineering: Artificial Intelligence, Structures, Materials, and Optimization
Advances in Aerospace Engineering: Artificial Intelligence, Structures, Materials, and Optimization

Advances in Aerospace Engineering: Artificial Intelligence, Structures, Materials, and Optimization


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About the Book

This book, Advances in Aerospace Engineering꞉ Artificial Intelligence, Structures, Materials, and Optimization, explores cutting‐edge AI and machine learning methods that are revolutionizing aerospace and aviation. With chapters covering key topics such as AI‐driven research, structural analysis using Python, optimization of aircraft design, and the future of high‐strength materials like borophene, the book provides insights into how recent advancements contribute to efficiency, sustainability, and innovation in the industry. From energy‐efficient UAV routing to sustainable aviation fuels, each chapter offers valuable applications and advanced techniques, making this a comprehensive guide for professionals and researchers in aerospace engineering and AI.



Table of Contents:

Preface. The Role of Artificial Intelligence in Transforming Aerospace and Engineering. Artificial Intelligence and Machine Learning Methods Used in Aviation and Aerospace Engineering Research. Shear Buckling in Thin Walled Structures: Insights from Python for Structural Analysis. Multi-Objective Optimization of the Dynamic Behavior of a Thin-Walled Composite Aircraft Wing with Biconvex Cross-Section. Optimized Lattice Structure Design and Analysis for Aircraft Brackets with an Evaluation of Additive Manufacturing Viability. Aluminum Lithium Alloys in Aeronautics. Borophene: Exploring the Future of High-Strength and Lightweight Material. Energy-Efficient UAV Routing Optimization Using Genetic Algorithms in Dynamic Logistics Systems. Optimizing the Production Process of a Manufacturing Company with a Project Scheduling Approach. Machine Learning for Sustainable Aviation Logistics. Sustainable Aviation Fuel to Decarbonize the Aviation Industry: A Case Study on the United States. Index.



About the Author :

Assoc. Prof. Dr. Hande Girard earned her Ph.D. with High Honors from École Centrale Paris in 2012. Since 2007, she has been actively involved as a researcher and coordinator in various national and international aerospace and defense projects. Dr. Girard has authored numerous scientific papers published in journals and presented at conferences, focusing on aerospace, mechanics, and materials. She holds certifications in Project Management for Aerospace Professionals and Aerospace Applications of Systems Engineering from the University of Kansas (2013), and in Data Science from Booz Allen (2015). Additionally, she serves as a referee for scientific journals such as Soft Computing, Steel and Composite Structures꞉ An International Journal, and Aircraft Engineering and Aerospace Technology.

Her research interests encompass structural materials, multifunctional composite structures, and material characterization. Currently, Dr. Girard is an Associate Professor of Aerospace Engineering at OSTİM Technical University. She is a member of the European Structural Integrity Society, GDR "Graphene and Nanotubes" (GNT), Groupement des Centraliens de l'Aéronautique et de l'Espace, Association de l'École Centrale Paris, and Centrale au Féminin.

Assoc. Prof. Dr. Durdu Hakan Utku received his M.S. degree from Bilkent University (Ankara, Turkey) and his Ph.D. from Gazi University (Ankara, Turkey), both in industrial engineering. He obtained certificates in systems engineering from the Systems Management Sciences Department of the Turkish
Military Academy in 1998 and in Foreign Trade from the Turkish Foreign Trade Foundation in 2015.

His research interests include production planning and control, supply chain management, NG and LNG supply chain design/management, systems simulation, and the design and analysis of experiments. Currently, he works as an Associate Professor of Industrial Engineering at the Turkish Aeronautical Association University.


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Product Details
  • ISBN-13: 9781040455654
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: CRC Press
  • Language: English
  • ISBN-10: 1040455654
  • Publisher Date: 14 Oct 2025
  • Binding: Digital (delivered electronically)
  • Sub Title: Artificial Intelligence, Structures, Materials, and Optimization


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