Design and Analysis of Composites

Proceedings of the American Society for Composites 39th Technical Conference, Volume 1

de

,

Éditeur :

Springer


Paru le : 2026-01-01



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
231,04

Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description

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.
Pages
359 pages
Collection
n.c
Parution
2026-01-01
Marque
Springer
EAN papier
9783032017291
EAN PDF
9783032017307

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
35
Taille du fichier
36137 Ko
Prix
231,04 €
EAN EPUB
9783032017307

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
35
Taille du fichier
94034 Ko
Prix
231,04 €

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.

Suggestions personnalisées