Advances in Aerospace Engineering
Artificial Intelligence, Structures, Materials, and Optimization
Herausgeber: Girard, Hande; Hakan Utku, Durdu
Advances in Aerospace Engineering
Artificial Intelligence, Structures, Materials, and Optimization
Herausgeber: Girard, Hande; Hakan Utku, Durdu
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This book explores cutting-edge AI and machine learning methods that are revolutionizing aerospace and aviation. The book provides insights into how recent advancements contribute to efficiency, sustainability, and innovation in the industry.
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This book explores cutting-edge AI and machine learning methods that are revolutionizing aerospace and aviation. The book provides insights into how recent advancements contribute to efficiency, sustainability, and innovation in the industry.
Produktdetails
- Produktdetails
- Verlag: CRC Press
- Seitenzahl: 232
- Erscheinungstermin: 14. Oktober 2025
- Englisch
- Abmessung: 240mm x 161mm x 17mm
- Gewicht: 517g
- ISBN-13: 9781032441351
- ISBN-10: 1032441356
- Artikelnr.: 75012418
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: CRC Press
- Seitenzahl: 232
- Erscheinungstermin: 14. Oktober 2025
- Englisch
- Abmessung: 240mm x 161mm x 17mm
- Gewicht: 517g
- ISBN-13: 9781032441351
- ISBN-10: 1032441356
- Artikelnr.: 75012418
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
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 OST¿M 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.
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.
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.
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.
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.







