Topology Optimization Using Probabilistic Compliance Constraints

2009 ◽  
Author(s):  
J. Lógó ◽  
S. Kaliszky ◽  
M. Ghaemi
Keyword(s):  
Topology Optimization ◽  
Compliance Constraints

scholarly journals Multi-constrained topology optimization using constant criterion surface algorithm

2012 ◽  
Vol 60 (2) ◽  
pp. 229-236 ◽  
Author(s):  
M. Mrzygłód
Keyword(s):  
Topology Optimization ◽  
Design Space ◽  
Static Stress ◽  
Horizontal Line ◽  
Simultaneous Application ◽  
Domain Optimization ◽  
Structure Topology ◽  
Stress Fatigue ◽  
Shaped Domain ◽  
Compliance Constraints

Abstract. This paper sets out to describe a multi-constrained approach to topology optimization of structures. In the optimization, a constant criterion surface algorithm and the multi-constraint procedure is used. The multi-constraint procedure consists of constraints normalization and equivalent design space assembling. The work is illustrated by an example of the L-shaped domain optimization with the horizontal line support and complex loads. The example takes into consideration stress, fatigue and compliance constraints. The separate and simultaneous application of constraints resulted in significant differences in structure topology layouts. The application of a fatigue constraint gave more conservative results when compared to static stress or compliance limitations. The multi-constrained approach allowed effectively lowering the mass of the structure while satisfying all constraints.

Topology Optimization of IPM Motors using Fourier Series

2017 ◽  
Vol 137 (3) ◽  
pp. 245-253
Author(s):  
Hidenori Sasaki ◽  
Hajime Igarashi
Keyword(s):  
Fourier Series ◽  
Topology Optimization

Topology Optimization of Superconducting Electromagnets for Particle Accelerators

2019 ◽  
Vol 139 (9) ◽  
pp. 568-575
Author(s):  
Yusuke Sakamoto ◽  
Daisuke Ishizuka ◽  
Tetsuya Matsuda ◽  
Kazuhiro Izui ◽  
Shinji Nishiwaki
Keyword(s):  
Topology Optimization ◽  
Particle Accelerators

Topology Optimization using Deep Learning

2020 ◽  
Vol 140 (12) ◽  
pp. 858-865
Author(s):  
Hidenori Sasaki ◽  
Yuki Hidaka ◽  
Hajime Igarashi
Keyword(s):  
Deep Learning ◽  
Topology Optimization
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