The Proceedings of OPTIS
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Published By The Japan Society Of Mechanical Engineers

2424-3019
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Approximation of load-displacement curves utilizing neural network and optimization of it

2018 ◽  
Vol 2018.13 (0) ◽  
pp. 311
Author(s):  
Yohei TAKAYAMA ◽  
Akihiro TAKEZAWA ◽  
Masanori HONDA ◽  
Mitsuru KITAMURA
Keyword(s):  
Neural Network ◽  
Load Displacement

Clustering method for pareto-optimal solution set obtained by 3D multiobjective topology optimization

2018 ◽  
Vol 2018.13 (0) ◽  
pp. 308
Author(s):  
Takuya Tsuchihashi ◽  
Kazuhiro Izui ◽  
Takayuki Yamada ◽  
Shinji Nishiwaki
Keyword(s):  
Topology Optimization ◽  
Optimal Solution ◽  
Pareto Optimal Solution ◽  
Solution Set ◽  
Pareto Optimal ◽  
Clustering Method ◽  
Optimal Solution Set

Design Study of a Foldable Bridge created from Topology Optimization Method

2018 ◽  
Vol 2018.13 (0) ◽  
pp. 302
Author(s):  
Yuta Hama ◽  
Ichiro Ario ◽  
Kotaro Adachi
Keyword(s):  
Topology Optimization ◽  
Optimization Method ◽  
Design Study ◽  
Topology Optimization Method

Multiobjective optimization considering robustness criteria based on order statistics

2018 ◽  
Vol 2018.13 (0) ◽  
pp. 223
Author(s):  
Makoto Ohsaki ◽  
Makoto Yamakawa
Keyword(s):  
Multiobjective Optimization ◽  
Order Statistics

Formulation of muscle activity identification problem from shape observation and its solution

2018 ◽  
Vol 2018.13 (0) ◽  
pp. 212
Author(s):  
Hideyuki Azegami ◽  
Ryota Kurimoto ◽  
Genji Saito ◽  
Kenzen Takeuchi ◽  
Yukihiro Michiwaki ◽  
...  
Keyword(s):  
Muscle Activity ◽  
Identification Problem

Multi-objective optimization of pipe routing to suppress vibration by inner fluid flow

2018 ◽  
Vol 2018.13 (0) ◽  
pp. 122
Author(s):  
Masaaki Yagi ◽  
Shuhei Fujishima ◽  
Akane Uemichi ◽  
Shigehiko Kaneko ◽  
Shiro Takahashi
Keyword(s):  
Fluid Flow ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Pipe Routing

Sensitivity analysis for elastic problems by the adjoint variable method based on the LBM

2018 ◽  
Vol 2018.13 (0) ◽  
pp. 119
Author(s):  
Takashi YODONO ◽  
Takayuki YAMADA ◽  
Kazuhiro IZUI ◽  
Shinji NISHIWAKI
Keyword(s):  
Sensitivity Analysis ◽  
Variable Method ◽  
Adjoint Variable Method ◽  
Adjoint Variable
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