Overview
- Shows how to apply intelligent methods to the design of structures
- Reports on new discrete models of structures
- Includes solutions to practical problems
Part of the book series: Solid Mechanics and Its Applications (SMIA, volume 261)
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Table of contents (6 chapters)
Keywords
About this book
The book is devoted to intelligent design of structures as a novel kind of designing based on computational intelligence. The proposed methodology based on computational intelligence has some heuristic and learning attributes typical for natural intelligence. Computer models of the structures are built on the base of the finite element method (FEM), the boundary element method (BEM) or coupling of FEM and BEM. The short description of possible discrete models of structures using these methods is included in the Chapter 2. Various kinds of intelligent approaches using sequential, parallel, distributed, fuzzy and hybrid evolutionary, immune and particle swarm algorithms and neural computing are presented in Chapter 3. Different kinds of optimization such as shape, topology, size and material optimization for structures under static and dynamical mechanical and thermo-mechanical loadings, structures with cracks and composite structures are considered in Chapter 4. Multi-objective optimization for coupled problems is also taken into account. Several numerical examples illustrating these kinds of optimization are presented for 2-D (plane-stress or plane-strain, plates, shells) as well as 3-D structures. Chapter 5 is devoted to special problems related to solving inverse problems in which boundary conditions, defects such as voids or cracks and material characteristics, are unknown. Closing comments summarizing the book are presented in Chapter 6.
Authors and Affiliations
Bibliographic Information
Book Title: Intelligent Computing in Optimal Design
Authors: Tadeusz Burczyński, Waclaw Kuś, Witold Beluch, Adam Długosz, Arkadiusz Poteralski, Mirosław Szczepanik
Series Title: Solid Mechanics and Its Applications
DOI: https://doi.org/10.1007/978-3-030-34161-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-34159-6Published: 02 January 2020
eBook ISBN: 978-3-030-34161-9Published: 01 January 2020
Series ISSN: 0925-0042
Series E-ISSN: 2214-7764
Edition Number: 1
Number of Pages: X, 237
Number of Illustrations: 108 b/w illustrations, 90 illustrations in colour
Topics: Mathematical and Computational Engineering, Mathematical Models of Cognitive Processes and Neural Networks, Optimization