A SMOOTHING METHOD FOR SHAPE OPTIMIZATION: TRACTION METHOD USING THE ROBIN CONDITION-Reference-Cited by-同舟云学术

A SMOOTHING METHOD FOR SHAPE OPTIMIZATION: TRACTION METHOD USING THE ROBIN CONDITION

Published:2006-03 Issue:01 Volume:03 Page:21-33
ISSN:0219-8762
Container-title:International Journal of Computational Methods
language:en
Short-container-title:Int. J. Comput. Methods

Author:

AZEGAMI HIDEYUKI¹,TAKEUCHI KENZEN²

Affiliation:

1. Department of Complex Systems Science, Graduate School of Information Science, Nagoya University, Furo-cho, Chigusa-ku, Nagoya City, Aichi Prefecture, 464-8601, Japan

2. Quint Corporation, 1-14-1 Fuchu-cho, Fuchu, Tokyo, 183-0055, Japan

Abstract

This paper presents an improved version of the traction method that was proposed as a solution to shape optimization problems of domain boundaries in which boundary value problems of partial differential equations are defined. The principle of the traction method is presented based on the theory of the gradient method in Hilbert space. Based on this principle, a new method is proposed by selecting another bounded coercive bilinear form from the previous method. The proposed method obtains domain variation with a solution to a boundary value problem with the Robin condition by using the shape gradient.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computational Mathematics,Computer Science (miscellaneous)

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0219876206000709

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