Multiobjective topology optimization with the sko-method

The S oft- K ill- O ption method (SKO) is an evolutionary approach for topology optimization. The objective of the optimization is to determine a uniformly stressed topology for a given loading. Thus, a structure with optimal material layout can be achieved. Ordinary applications of the SKO method c...

Full description

Saved in:
Bibliographic Details
Published in:Structural and multidisciplinary optimization Vol. 57; no. 1; pp. 325 - 340
Main Authors: Inzenhofer, André, Haikonen, Joona, Hupfer, Andreas
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2018
Springer Nature B.V
Subjects:
Algorithms
Computational Mathematics and Numerical Analysis
Computer simulation
Engineering
Engineering Design
Finite element method
Heat flux
Multiple objective analysis
Parameters
Programming languages
Research Paper
Superposition (mathematics)
Theoretical and Applied Mechanics
Topology optimization
SKO
Weighting factors
Heat flux
Stress
ISSN:1615-147X, 1615-1488
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The S oft- K ill- O ption method (SKO) is an evolutionary approach for topology optimization. The objective of the optimization is to determine a uniformly stressed topology for a given loading. Thus, a structure with optimal material layout can be achieved. Ordinary applications of the SKO method consider only the stress objective. Within the present study, an extension of this method is investigated, which allows the optimization of two objectives at the same time. As the second objective, heat flux is chosen. Besides thermal and mechanical induced stresses, this parameter has a large impact on the lifetime of thermal highly loaded components. The present study first explains the single objective optimization approach. Thereby, the relevant SKO parameters are also investigated. Building up on these results, a method for combining two objectives by superposition is investigated. The implementation of the developed procedure is explained, and two examples are evaluated. For the implementation of the algorithm, the scripting language python is used. The algorithm is executed with the commercial software ABAQUS.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1615-147X
1615-1488
DOI:10.1007/s00158-017-1757-6