Intelligent Computing in Optimal Design

ISBN-13: 9783030341596 / Angielski / Twarda / 2020 / 237 str.

Tadeusz Burczynski; Waclaw Kuś; Witold Beluch

Spis treści

Preface

Introduction

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

Concluding remarks

Appendices

References

Blurb

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.