Design and Analysis of Composites: Proceedings of the American Society for Composites 39th Technical Conference, Volume 1 (Proceedings of the American ... Annual Technical Conferences, Band 1) - Hardcover

Hardcover

ISBN 10: 3032017297 ISBN 13: 9783032017291

Verlag: Springer, 2026

Inhaltsangabe

This book presents the proceedings of the American Society for Composites 39th Technical Conference. This volume, the first of six volumes, is a concise collection of cutting-edge research focusing on Artificial Intelligence (AI), Machine Learning (ML), Uncertainty Quantification (UQ), architected composites, and advanced design and manufacturing in composite materials. The volume presents innovative applications such as predictive modeling of composite failures using AI and ML, developing architected composites like auxetic materials and nanocomposites, and exploring advanced manufacturing techniques, including additive manufacturing and friction drilling. This collection is valuable for professionals seeking to deepen their understanding of modern composite materials design and analysis approaches. This volume describes the state-of-the-art research on AI/ML for composite design, architected composites, UQ, and advanced manufacturing techniques in composite materials.

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Über die Autorin bzw. den Autor

Navid Zobeiry is an associate professor in the Materials Science and Engineering department at the University of Washington, with an adjunct position in the Aeronautics and Astronautics department. His research focuses on the intersection of materials science, data science, and advanced manufacturing.

Xin Liu is an Assistant Professor in the Mechanical and Aerospace Department at the University of Texas at Arlington (UTA). He is also a member of the Institute for Predictive Performance Methodologies at the UTA Research Institute. His research focuses on machine learning-assisted multiscale modeling, composite materials and structures, and lattice metamaterials.

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This book presents the proceedings of the American Society for Composites 39th Technical Conference. This volume, the first of six volumes, is a concise collection of cutting-edge research focusing on Artificial Intelligence (AI), Machine Learning (ML), Uncertainty Quantification (UQ), architected composites, and advanced design and manufacturing in composite materials. The volume presents innovative applications such as predictive modeling of composite failures using AI and ML, developing architected composites like auxetic materials and nanocomposites, and exploring advanced manufacturing techniques, including additive manufacturing and friction drilling. This collection is valuable for professionals seeking to deepen their understanding of modern composite materials design and analysis approaches. This volume describes the state-of-the-art research on AI/ML for composite design, architected composites, UQ, and advanced manufacturing techniques in composite materials.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 10: 3032017297
• ISBN 13: 9783032017291
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 370
• Herausgeber: Zobeiry Navid, Liu Xin
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Deutschland