Challapalli A Artificial Intelligence Assisted Structural Optimization 2025
Category: eBooks
- views: 103
- date: 4 January 2025
- posted by: BeMyLove
Challapalli A Artificial Intelligence Assisted Structural Optimization 2025 | 15.62 MB
Title: Artificial Intelligence Assisted Structural Optimization
Author: Adithya Challapalli
Description:
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.
DOWNLOAD:
https://rapidgator.net/file/5b14906e49fb6505d23c9956622fbf08/Challapalli_A._Artificial_Intelligence_Assisted_Structural_Optimization_2025.rar
https://ddownload.com/ca1dslent9yh/Challapalli_A._Artificial_Intelligence_Assisted_Structural_Optimization_2025.rar
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.
DOWNLOAD:
https://rapidgator.net/file/5b14906e49fb6505d23c9956622fbf08/Challapalli_A._Artificial_Intelligence_Assisted_Structural_Optimization_2025.rar
https://ddownload.com/ca1dslent9yh/Challapalli_A._Artificial_Intelligence_Assisted_Structural_Optimization_2025.rar
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
 |
Users of GUESTS are not allowed to comment this publication. | ||