Artificial Intelligence Assisted Structural Optimization

Language: English

Published by Taylor and Francis Ltd, GB, 2025

103250885X / 9781032508856

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Artificial Intelligence Assisted Structural Optimization explores the use of machine learning and correlation analysis within the forward design and inverse design frameworks to design and optimize lightweight load-bearing structures as well as mechanical metamaterials.Discussing both machine learning and design analysis in detail, this book enables readers to optimize their designs using a data-driven approach. This book discusses the basics of the materials utilized, for example, shape memory polymers, and the manufacturing approach employed, such as 3D or 4D printing. Additionally, the book discusses the use of forward design and inverse design frameworks to discover novel lattice unit cells and thin-walled cellular unit cells with enhanced mechanical and functional properties such as increased mechanical strength, heightened natural frequency, strengthened impact tolerance, and improved recovery stress. Inverse design methodologies using generative adversarial networks are proposed to further investigate and improve these structures. Detailed discussions on fingerprinting approaches, machine learning models, structure screening techniques, and typical Python codes are provided in the book.The book provides detailed guidance for both students and industry engineers to optimize their structural designs using machine learning.

Seller Inventory # LU-9781032508856

Title
Artificial Intelligence Assisted Structural Optimization
Author
Adithya Challapalli, Guoqiang Li
Publisher
Taylor and Francis Ltd, GB
Publication year
2025
Condition
New
Binding
Hardback
Language
English
ISBN 10
103250885X
ISBN 13
9781032508856
Item weight
570 grams

Rarewaves.com USA

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