MARC details
| 001 - CONTROL NUMBER |
|---|
| control field |
24004923 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
0199339 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20251016151005.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
250125s2025 flu b 000 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2024045874 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781032508856 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781032508870 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Cancelled/invalid ISBN |
9781003400165 |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
24004923 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
LBSOR |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
LBSOR |
| Modifying agency |
DLC |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
TA658.8 |
| Item number |
.C43 2025 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
624.1/7713028563 |
| Edition number |
23/eng/20250210 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Challapalli, Adithya, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Artificial intelligence assisted structural optimization / |
| Statement of responsibility, etc |
Adithya Challapalli and Guoqiang Li. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
First edition. |
| 263 ## - PROJECTED PUBLICATION DATE |
|---|
| Projected publication date |
2503 |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Boca Raton : |
| Name of publisher, distributor, etc |
CRC Press, |
| Date of publication, distribution, etc |
2025. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xi, 208p.: |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Introduction to structures with complex geometrical configurations -- Structural optimization -- Introduction to machine learning assisted structural optimization -- Structural optimization of biomimetic rods using machine learning regression -- Structural optimization of lattice structures -- Inverse machine learning using generative adversarial networks -- Design and optimization of mechanical metamaterials using correlation analysis data generation and fingerprinting of thin-walled cellular unit cells -- Summary and future perspectives. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"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"-- |
| Assigning source |
Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Structural optimization |
| General subdivision |
Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial intelligence |
| General subdivision |
Industrial applications. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Li, Guoqiang, |
| Dates associated with a name |
1965- |
| Relator term |
author. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Relationship information |
Online version: |
| Main entry heading |
Challapalli, Adithya. |
| Title |
Artificial intelligence assisted structural optimization. |
| Edition |
First edition |
| Place, publisher, and date of publication |
Boca Raton : CRC Press, 2025 |
| International Standard Book Number |
9781003400165 |
| Record control number |
(DLC) 2024045875 |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Books |