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Evolutionary topology redesign for p...

Miao, Libin.

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Evolutionary topology redesign for performance by large admissible perturbations.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Evolutionary topology redesign for performance by large admissible perturbations./
Author:	Miao, Libin.
Description:	145 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-06, Section: B, page: 3088.
Contained By:	Dissertation Abstracts International65-06B.
Subject:	Engineering, Marine and Ocean. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3137901
ISBN:	0496850717

Evolutionary topology redesign for performance by large admissible perturbations.
Miao, Libin.

Evolutionary topology redesign for performance by large admissible perturbations. - 145 p.

Source: Dissertation Abstracts International, Volume: 65-06, Section: B, page: 3088.

Thesis (Ph.D.)--University of Michigan, 2004.

An evolutionary topology design methodology for performance is developed and implemented in this research. The performance constraints are treated by the method of LargE Admissible Perturbations (LEAP) so that finite element calculations are reduced dramatically. An evolutionary algorithm is developed to solve the uni-material topology redesign problem, where material properties are limited to voids or a specified Young's modulus Es. Most structures in reality are not homogeneous and often composed of different materials. In this dissertation, a second algorithm is developed for the bi-material topology redesign problem, where material properties are limited to voids, an original Young's modulus E0, or E u. The evolved topology with such material specifications may not be so difficult to manufacture. The desired topology/material is achieved in 4--12 iterations for changes in performance by a factor of 2. Benchmark applications show the capability of the methodology for handling multiple performance constraints including static displacements, natural frequencies, static stresses and forced response amplitudes. Further more, 3D problems are solved with static, modal dynamic, and simultaneous static and modal dynamic constraints, which shows that the developed methodology can be easily applied to 3D problems to achieve large topology changes within a small number of iterations.

ISBN: 0496850717Subjects--Topical Terms:

1019064
Engineering, Marine and Ocean.

Evolutionary topology redesign for performance by large admissible perturbations.
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020 $a 0496850717
035 $a (UnM)AAI3137901
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040 $a UnM $c UnM
100 1 $a Miao, Libin. $3 1937731
245 1 0 $a Evolutionary topology redesign for performance by large admissible perturbations.
300 $a 145 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-06, Section: B, page: 3088.
500 $a Chair: Michael M. Bernitsas.
502 $a Thesis (Ph.D.)--University of Michigan, 2004.
520 $a An evolutionary topology design methodology for performance is developed and implemented in this research. The performance constraints are treated by the method of LargE Admissible Perturbations (LEAP) so that finite element calculations are reduced dramatically. An evolutionary algorithm is developed to solve the uni-material topology redesign problem, where material properties are limited to voids or a specified Young's modulus Es. Most structures in reality are not homogeneous and often composed of different materials. In this dissertation, a second algorithm is developed for the bi-material topology redesign problem, where material properties are limited to voids, an original Young's modulus E0, or E u. The evolved topology with such material specifications may not be so difficult to manufacture. The desired topology/material is achieved in 4--12 iterations for changes in performance by a factor of 2. Benchmark applications show the capability of the methodology for handling multiple performance constraints including static displacements, natural frequencies, static stresses and forced response amplitudes. Further more, 3D problems are solved with static, modal dynamic, and simultaneous static and modal dynamic constraints, which shows that the developed methodology can be easily applied to 3D problems to achieve large topology changes within a small number of iterations.
590 $a School code: 0127.
650 4 $a Engineering, Marine and Ocean. $3 1019064
690 $a 0547
710 2 0 $a University of Michigan. $3 777416
773 0 $t Dissertation Abstracts International $g 65-06B.
790 1 0 $a Bernitsas, Michael M., $e advisor
790 $a 0127
791 $a Ph.D.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3137901