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Hideyuki Azegami - One of the best experts on this subject based on the ideXlab platform.

  • solution of Shape Optimization Problem and its application to product design
    2017
    Co-Authors: Hideyuki Azegami
    Abstract:

    In this paper, we define Shape Optimization Problems as Problems of finding the Shapes of domains in which boundary value Problems of partial differential equations are defined. A domain mapping from an initial domain to a new domain is chosen as the design variable. Functionals of the design variable and the solution to the boundary value Problem are used as cost functions. In this paper, the formulation of the Shape Optimization Problem and a numerical method of solving the Problem are presented. In addition, our subsequent works applying this method to product design are introduced: (1) Shape Optimization of a link mechanism, (2) Shape Optimization for suppressing brake squeal, (3) a method of designing beads in a shell structure, (4) Shape Optimization of a flow field to improve hydrodynamic stability, and (5) Shape Optimization of an electrostatic capacitive sensor.

  • Shape Optimization of an electrostatic capacitive sensor
    Japan Journal of Industrial and Applied Mathematics, 2016
    Co-Authors: Masayoshi Satake, Noboru Maeda, Shinji Fukui, Hideyuki Azegami
    Abstract:

    This paper describes the Shape Optimization of an electrostatic capacitive sensor used to detect fingers. We consider two state determination Problems. The first is a basic electrostatic field Problem consisting of sensing electrodes, an earth electrode, and air. The second is an electrostatic field Problem in which fingers are added to the basic electrostatic field Problem. An objective cost function is defined using the negative-signed squared $$H^{1}$$ H 1 -norm of the difference between the solutions of the two state determination Problems. The volume of the sensing electrode is used as the cost function. Using the solutions of the two state determination Problems and the two adjoint Problems, we present a method for evaluating the Shape derivative of the objective cost function. To solve the Shape Optimization Problem and minimize the negative-signed difference norm under the volume constraint, we use an iterative algorithm based on the $$H^{1}$$ H 1 gradient method. An algorithm for the Shape Optimization Problem is developed to solve the boundary value Problems. Numerical examples show that reasonable Shapes are obtained using the present approach.

  • Error analysis of the H1 gradient method for Shape-Optimization Problems of continua
    JSIAM Letters, 2013
    Co-Authors: Daisuke Murai, Hideyuki Azegami
    Abstract:

    We present an error estimation for the H1 gradient method, which provides numerical solutions to the Shape-Optimization Problem of the domain in which a boundary value Problem is dened. The main result is that if second-order elements are used for the solutions of the main and adjoint boundary value Problems to evaluate the Shape derivative, and the rstorder elements are used for the solution of domain variation in the boundary value Problem of the H1 gradient method, then we obtain rst-order convergence of the solution of the domain variation with respect to the size of the nite elements.

  • Construction method of the cost function for the minimax Shape Optimization Problem
    JSIAM Letters, 2013
    Co-Authors: Kouhei Shintani, Hideyuki Azegami
    Abstract:

    The present paper describes a method by which to formulate a Shape Optimization Problem of a linear elastic continuum for minimizing the maximum value of a strength measure, such as the von Mises stress. In order to avoid the irregularity of the Shape derivative of the maximum value, the Kreisselmeier{St function of the strength measure is used as the cost function. In the cost function, a parameter is used to control the regularity of the Shape derivative. In the present paper, we propose a rule by which to appropriately determine the

  • Shape Optimization Problem of elastic bodies for controlling contact pressure
    JSIAM Letters, 2010
    Co-Authors: Takahiro Iwai, Akinobu Sugimoto, Taiki Aoyama, Hideyuki Azegami
    Abstract:

    The present paper describes a numerical solution to Shape Optimization Problems of contacting elastic bodies for controlling contact pressure. The contacting elastic Problem is formulated as the minimization of potential energy with a constraint for penetration based on the large deformation theory. The contact pressure is defined as a Lagrange multiplier for the constraint of penetration in the minimization Problem. An error norm of the contact pressure to a desired distribution is chosen as an objective functional. The Shape derivative of the functional is theoretically evaluated. Numerical solutions are constructed by the traction method.

Bozhidar Velichkov - One of the best experts on this subject based on the ideXlab platform.

  • Free boundary regularity for a multiphase Shape Optimization Problem
    Communications in Partial Differential Equations, 2019
    Co-Authors: Luca Spolaor, Baptiste Trey, Bozhidar Velichkov
    Abstract:

    AbstractIn this paper we prove a C1,α regularity result in dimension two for almost-minimizers of the constrained one-phase Alt-Caffarelli and the two-phase Alt-Caffarelli-Friedman functionals for ...

  • Free boundary regularity for a multiphase Shape Optimization Problem.
    arXiv: Analysis of PDEs, 2018
    Co-Authors: Luca Spolaor, Baptiste Trey, Bozhidar Velichkov
    Abstract:

    In this paper we prove a $C^{1,\alpha}$ regularity result in dimension two for almost-minimizers of the constrained one-phase Alt-Caffarelli and the two-phase Alt-Caffarelli-Friedman functionals for an energy with variable coefficients. As a consequence, we deduce the complete regularity of solutions of a multiphase Shape Optimization Problem for the first eigenvalue of the Dirichlet-Laplacian up to the fixed boundary. One of the main ingredient is a new application of the epiperimetric-inequality of Spolaor-Velichkov [CPAM, 2018] up to the boundary. While the framework that leads to this application is valid in every dimension, the epiperimetric inequality is known only in dimension two, thus the restriction on the dimension.

  • A Shape Optimal Control Problem with Changing Sign Data
    SIAM Journal on Mathematical Analysis, 2018
    Co-Authors: Giuseppe Buttazzo, Bozhidar Velichkov
    Abstract:

    In this paper we consider a Shape Optimization Problem in which the data in the cost functional and in the state equation may change sign, and so no monotonicity assumption is satisfied. Nevertheless, we are able to prove that an optimal domain exists. We also deduce some necessary conditions of optimality for the optimal domain. The results are applied to show the existence of an optimal domain in the case where the cost functional is completely identified, while the right-hand side in the state equation is only known up to a probability P in the space L 2 (D).

  • a multiphase Shape Optimization Problem for eigenvalues qualitative study and numerical results
    arXiv: Optimization and Control, 2016
    Co-Authors: Beniamin Bogosel, Bozhidar Velichkov
    Abstract:

    We consider the multiphase Shape Optimization Problem $$\min\Big\{\sum_{i=1}^h\lambda_1(\Omega_i)+\alpha|\Omega_i|:\ \Omega_i\ \hbox{open},\ \Omega_i\subset D,\ \Omega_i\cap\Omega_j=\emptyset\Big\},$$ where $\alpha>0$ is a given constant and $ D\subset\Bbb{R}^2$ is a bounded open set with Lipschitz boundary. We give some new results concerning the qualitative properties of the optimal sets and the regularity of the corresponding eigenfunctions. We also provide numerical results for the optimal partitions.

  • A Multiphase Shape Optimization Problem for Eigenvalues: Qualitative Study and Numerical Results
    SIAM Journal on Numerical Analysis, 2016
    Co-Authors: Beniamin Bogosel, Bozhidar Velichkov
    Abstract:

    In thie paper we consider the following multiphase Shape Optimization Problem $\min\big\{\sum_{i=1}^h\lambda_1(\Omega_i)+\alpha|\Omega_i|:\ \Omega_i\ {open},\ \Omega_i\subset D, \Omega_i\cap\Omega_...

Kathrin Welker - One of the best experts on this subject based on the ideXlab platform.

Daniel Luft - One of the best experts on this subject based on the ideXlab platform.

Beniamin Bogosel - One of the best experts on this subject based on the ideXlab platform.