Design and Analysis of Composites: Proceedings of the American Society for Composites 39th Technical Conference, Volume 1
暫譯: 複合材料的設計與分析：美國複合材料學會第39屆技術會議論文集，第1卷
Zobeiry, Navid, Liu, Xin
- 出版商: Springer
- 出版日期: 2026-01-03
- 售價: $10,100
- 貴賓價: 9.5 折 $9,595
- 語言: 英文
- 頁數: 359
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3032017297
- ISBN-13: 9783032017291
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相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
相關主題
商品描述
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.
商品描述(中文翻譯)
本書呈現美國複合材料學會第39屆技術會議的會議紀錄。本卷是六卷中的第一卷，精簡地收錄了聚焦於人工智慧（Artificial Intelligence, AI）、機器學習（Machine Learning, ML）、不確定性量化（Uncertainty Quantification, UQ）、架構複合材料及複合材料的先進設計與製造的前沿研究。該卷介紹了創新的應用，例如利用AI和ML進行複合材料失效的預測建模、開發像是增強材料（auxetic materials）和奈米複合材料（nanocomposites）等架構複合材料，以及探索先進的製造技術，包括增材製造（additive manufacturing）和摩擦鑽孔（friction drilling）。這本合集對於希望深入了解現代複合材料設計與分析方法的專業人士來說，具有重要價值。本卷描述了在複合材料設計、架構複合材料、不確定性量化及複合材料的先進製造技術方面的最新研究。
作者簡介
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.
作者簡介(中文翻譯)
Navid Zobeiry 是華盛頓大學材料科學與工程系的副教授，同時在航空與太空工程系擔任兼任職位。他的研究專注於材料科學、數據科學與先進製造之間的交集。
Xin Liu 是德克薩斯大學阿靈頓分校（UTA）機械與航空系的助理教授。他也是UTA研究所預測性能方法學研究所的成員。他的研究專注於機器學習輔助的多尺度建模、複合材料與結構，以及晶格超材料。
