scholarly journals Numerical Solution for Min-Max Shape Optimization Problems. (Minimum Design of Maximum Stress and Displacement).

1998 ◽  
Vol 41 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Masatoshi SHIMODA ◽  
Hideyuki AZEGAMI ◽  
Toshiaki SAKURAI
JSIAM Letters ◽  
2010 ◽  
Vol 2 (0) ◽  
pp. 37-40 ◽  
Author(s):  
Yutaro Iwata ◽  
Hideyuki Azegami ◽  
Taiki Aoyama ◽  
Eiji Katamine

Author(s):  
Ihar Antonau ◽  
Majid Hojjat ◽  
Kai-Uwe Bletzinger

AbstractIn node-based shape optimization, there are a vast amount of design parameters, and the objectives, as well as the physical constraints, are non-linear in state and design. Robust optimization algorithms are required. The methods of feasible directions are widely used in practical optimization problems and know to be quite robust. A subclass of these methods is the gradient projection method. It is an active-set method, it can be used with equality and non-equality constraints, and it has gained significant popularity for its intuitive implementation. One significant issue around efficiency is that the algorithm may suffer from zigzagging behavior while it follows non-linear design boundaries. In this work, we propose a modification to Rosen’s gradient projection algorithm. It includes the efficient techniques to damp the zigzagging behavior of the original algorithm while following the non-linear design boundaries, thus improving the performance of the method.


2013 ◽  
Vol 60 (3) ◽  
pp. 537-563 ◽  
Author(s):  
Francesco Ballarin ◽  
Andrea Manzoni ◽  
Gianluigi Rozza ◽  
Sandro Salsa

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