Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 14th International Conference on Computational Plasticity - Fundamentals and Applications, COMPLAS 2017 |
| Editors | Eugenio Onate, Djordje Peric, D. Roger J. Owen, Michele Chiumenti |
| Pages | 235-246 |
| Number of pages | 12 |
| ISBN (electronic) | 9788494690969 |
| Publication status | Published - 2017 |
Abstract
In this contribution we present an overview of our work on a novel approach to topology optimization based on growth processes [1, 2, 3]. A compliance parameter to describe the spatial distribution of mass is introduced. It serves as an internal variable for which an associated evolution equation is derived using Hamilton’s principle. The well-known problem of checkerboarding is faced with energy regularization techniques. Numerical examples are given for demonstration purposes.
Keywords
- Regularization, Topology optimization, Variational growth
ASJC Scopus subject areas
- Computer Science(all)
- Computational Theory and Mathematics
- Mathematics(all)
- Theoretical Computer Science
Cite this
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Proceedings of the 14th International Conference on Computational Plasticity - Fundamentals and Applications, COMPLAS 2017. ed. / Eugenio Onate; Djordje Peric; D. Roger J. Owen; Michele Chiumenti. 2017. p. 235-246.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
}
TY - GEN
T1 - A variational growth approach to topology optimization
AU - Junker, P.
AU - Jantos, D.R.
AU - Hackl, K.
N1 - Publisher Copyright: © 2017 International Center for Numerical Methods in Engineering. All rights reserved.
PY - 2017
Y1 - 2017
N2 - In this contribution we present an overview of our work on a novel approach to topology optimization based on growth processes [1, 2, 3]. A compliance parameter to describe the spatial distribution of mass is introduced. It serves as an internal variable for which an associated evolution equation is derived using Hamilton’s principle. The well-known problem of checkerboarding is faced with energy regularization techniques. Numerical examples are given for demonstration purposes.
AB - In this contribution we present an overview of our work on a novel approach to topology optimization based on growth processes [1, 2, 3]. A compliance parameter to describe the spatial distribution of mass is introduced. It serves as an internal variable for which an associated evolution equation is derived using Hamilton’s principle. The well-known problem of checkerboarding is faced with energy regularization techniques. Numerical examples are given for demonstration purposes.
KW - Regularization
KW - Topology optimization
KW - Variational growth
UR - http://www.scopus.com/inward/record.url?scp=85045314719&partnerID=8YFLogxK
M3 - Conference contribution
SP - 235
EP - 246
BT - Proceedings of the 14th International Conference on Computational Plasticity - Fundamentals and Applications, COMPLAS 2017
A2 - Onate, Eugenio
A2 - Peric, Djordje
A2 - Owen, D. Roger J.
A2 - Chiumenti, Michele
ER -