Description: Intelligent Computing in Optimal Design by Witold Beluch, Arkadiusz Poteralski, Tadeusz Burczyński, Waclaw Kuś, Adam Długosz, Mirosław Szczepanik 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. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description 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. Back Cover 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. Table of Contents Computational models of structures.- Finite element models of structures.- Boundary element models of structures.- FE&BE models of structures.- Intelligent computing techniques.- Introduction to computational intelligence.- Sequential evolutionary algorithms.- Parallel and distributed evolutionary algorithms.- Fuzzy systems and granular computing.- Fuzzy and stochastic evolutionary algorithms.- Immune systems and algorithms.- Artificial neural networks.- Hybrid computational intelligence algorithms.- Selected problems of knowledge engineering.- Structural intelligent optimization.- Formulation of single- and multi-objective optimization problems.- Shape, topology, material and size optimization and their parametrization.- Optimization of elastic structures under statical loads.- Optimization of elastic structures under dynamical loads.- Optimization of thermoelastic structures.- Optimization of cracked structures.- Optimization of nonlinear structures.- Optimization of composites.-Structural optimization in the uncertain conditions.- Expert systems in optimization.- Intelligent computing in inverse problems.- Formulation of inverse problems.- Identification of boundary conditions.- Identification of defects.- Identification of material properties.- Other computing problems: intelligent adaptive mesh, grid computation. Feature Shows how to apply intelligent methods to the design of structures Reports on new discrete models of structures Includes solutions to practical problems Details ISBN3030341593 Author Mirosaw Szczepanik Pages 237 Year 2020 ISBN-10 3030341593 ISBN-13 9783030341596 Format Hardcover Publication Date 2020-01-02 Language English DOI 10.1007/978-3-030-34161-9 Series Number 261 UK Release Date 2020-01-02 Edition 1st Imprint Springer Nature Switzerland AG Place of Publication Cham Country of Publication Switzerland Illustrations 90 Illustrations, color; 108 Illustrations, black and white; X, 237 p. 198 illus., 90 illus. in color. Publisher Springer Nature Switzerland AG Edition Description 1st ed. 2020 Series Solid Mechanics and Its Applications DEWEY 519 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. 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ISBN-13: 9783030341596
Book Title: Intelligent Computing in Optimal Design
Number of Pages: 237 Pages
Language: English
Publication Name: Intelligent Computing in Optimal Design
Publisher: Springer Nature Switzerland Ag
Publication Year: 2020
Subject: Engineering & Technology, Mathematics
Item Height: 235 mm
Item Weight: 541 g
Type: Textbook
Author: Arkadiusz Poteralski, Tadeusz Burczynski, Witold Beluch, Miroslaw Szczepanik, Adam Dlugosz, Waclaw Kus
Item Width: 155 mm
Format: Hardcover