Intelligent Computing in Optimal Design

£89.50

Intelligent Computing in Optimal Design

Optimization Mathematical modelling Maths for engineers

Authors: Tadeusz Burczynski, Waclaw Kus, Witold Beluch, Adam Dlugosz, Arkadiusz Poteralski, Miroslaw Szczepanik

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Collection: Solid Mechanics and Its Applications

Language: English

Published by: Springer

Published on: 1st January 2020

Format: LCP-protected ePub

Size: 46 Mb

ISBN: 9783030341619


Introduction

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.

Approaches and Methods

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.

Special Problems and Conclusions

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.

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