TY - JOUR
T1 - A new constraint of variance of principal stress direction for improving structural strength in topology optimization
AU - Kamada, Hiroki
AU - Kato, Junji
AU - Kyoya, Takashi
PY - 2020
Y1 - 2020
N2 - The present study proposes a simplified topology optimization method to improve structural strength. Topology optimization considering structurally nonlinear behavior is one of the important topics. However, most of those methodologies request the complicated analytical derivation of sensitivity analysis and also high computational costs to obtain the optimal solution. This is the reason why the optimal design method based on linear structural analysis is still common approach in practice. However, optimal layouts based on linear structural analysis may lose the structural stability under larger or uncertain load. From this background, we propose a method of practical and simplified topology optimization to improve structural buckling behavior with much lower computational costs than that of optimal design based on complicated nonlinear structural analysis. Finally, we discuss the setting of the optimization problem improving the structural strength and demonstrate the accuracy and performance of the proposed method by a series of numerical examples.
AB - The present study proposes a simplified topology optimization method to improve structural strength. Topology optimization considering structurally nonlinear behavior is one of the important topics. However, most of those methodologies request the complicated analytical derivation of sensitivity analysis and also high computational costs to obtain the optimal solution. This is the reason why the optimal design method based on linear structural analysis is still common approach in practice. However, optimal layouts based on linear structural analysis may lose the structural stability under larger or uncertain load. From this background, we propose a method of practical and simplified topology optimization to improve structural buckling behavior with much lower computational costs than that of optimal design based on complicated nonlinear structural analysis. Finally, we discuss the setting of the optimization problem improving the structural strength and demonstrate the accuracy and performance of the proposed method by a series of numerical examples.
KW - Buckling
KW - Directional statistics
KW - Principal-stress dirention
KW - Structural strength
KW - Topology optimization
UR - http://www.scopus.com/inward/record.url?scp=85084922599&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85084922599&partnerID=8YFLogxK
U2 - 10.11421/jsces.2020.20200006
DO - 10.11421/jsces.2020.20200006
M3 - Article
AN - SCOPUS:85084922599
SN - 1344-9443
VL - 2020
JO - Transactions of the Japan Society for Computational Engineering and Science
JF - Transactions of the Japan Society for Computational Engineering and Science
M1 - 20200006
ER -