Design and Analysis of Composites Proceedings of the American Society for Composites 39th Technical Conference, Volume 1 /
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 c...
Պահպանված է:
| Համատեղ հեղինակ: | |
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| Այլ հեղինակներ: | , |
| Ձևաչափ: | Էլեկտրոնային էլ․ գիրք |
| Լեզու: | անգլերեն |
| Հրապարակվել է: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Հրատարակություն: | 1st ed. 2025. |
| Շարք: | Proceedings of the American Society for Composites Annual Technical Conferences,
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| Խորագրեր: | |
| Առցանց հասանելիություն: | https://doi.org/10.1007/978-3-032-01730-7 |
| Ցուցիչներ: |
Ավելացրեք ցուցիչ
Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!
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| Ամփոփում: | 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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| Ֆիզիկական նկարագրություն: | 1 online resource (XI, 359 p. 230 illus.). 207 illus. in color. |
| ISBN: | 9783032017307 |
| ISSN: | 3059-4839 |
| DOI: | 10.1007/978-3-032-01730-7 |