TY - JOUR
T1 - Study of convergence speed enhancement for topology optimization
AU - Nguyen, Van Tinh
AU - Tao, Ngoc Linh
AU - Nguyen, Thanh Trung
AU - Bui, Ngoc Tam
N1 - Funding Information:
This research was funded by Hanoi University of Science and Technology (HUST) under project number T2020-TT-203.
Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2022/5/17
Y1 - 2022/5/17
N2 - The target of this research is to enhance of convergence speed of proportional topology optimization process since it usually spends much computational cost to reach the achievement. Conventionally, proportional topology optimization (PTO) is a non-sensitivity technique, in which, the material distribution is gradually optimized by certain amount of material at each iteration through the relationship between current maximum stress and allowable stress. This is a reason that PTO method took a long time to reach the optimal layout. This paper deploys an adaptive material amount to improve this point. The cantilever with fixed hole is used to validate the effectiveness of the new method. The result shows that the proposed technique provided a significant improvement on the performance of proportional optimization algorithm.
AB - The target of this research is to enhance of convergence speed of proportional topology optimization process since it usually spends much computational cost to reach the achievement. Conventionally, proportional topology optimization (PTO) is a non-sensitivity technique, in which, the material distribution is gradually optimized by certain amount of material at each iteration through the relationship between current maximum stress and allowable stress. This is a reason that PTO method took a long time to reach the optimal layout. This paper deploys an adaptive material amount to improve this point. The cantilever with fixed hole is used to validate the effectiveness of the new method. The result shows that the proposed technique provided a significant improvement on the performance of proportional optimization algorithm.
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U2 - 10.1088/1742-6596/2235/1/012102
DO - 10.1088/1742-6596/2235/1/012102
M3 - Conference article
AN - SCOPUS:85131209931
SN - 1742-6588
VL - 2235
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012102
T2 - 12th Asia Conference on Mechanical and Aerospace Engineering, ACMAE 2021
Y2 - 29 December 2021 through 31 December 2021
ER -