Shape optimization with sensitivity analysis in local domain

Zhengxing Zuo; Ping Cai

Shape optimization with sensitivity analysis in local domain

Zhengxing Zuo^*, Ping Cai

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

For complicated geometries, it is inefficient to integrate over the entire domain. A new approach for optimization is presented here, based on sensitivity analysis of the local domain and deformation of a full domain. Accurate results of design sensitivity analysis are obtained with this approach in shape optimization. This method is shown to be efficient when used in optimization programs and results are of less distortion of the mesh.

Original language	English
Pages (from-to)	127-133
Number of pages	7
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	2
Issue number	2
Publication status	Published - Dec 1993

Cite this

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title = "Shape optimization with sensitivity analysis in local domain",

abstract = "For complicated geometries, it is inefficient to integrate over the entire domain. A new approach for optimization is presented here, based on sensitivity analysis of the local domain and deformation of a full domain. Accurate results of design sensitivity analysis are obtained with this approach in shape optimization. This method is shown to be efficient when used in optimization programs and results are of less distortion of the mesh.",

author = "Zhengxing Zuo and Ping Cai",

year = "1993",

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T1 - Shape optimization with sensitivity analysis in local domain

AU - Zuo, Zhengxing

AU - Cai, Ping

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AB - For complicated geometries, it is inefficient to integrate over the entire domain. A new approach for optimization is presented here, based on sensitivity analysis of the local domain and deformation of a full domain. Accurate results of design sensitivity analysis are obtained with this approach in shape optimization. This method is shown to be efficient when used in optimization programs and results are of less distortion of the mesh.

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M3 - Article

AN - SCOPUS:0027816501

SN - 1001-0645

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JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

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ER -

Shape optimization with sensitivity analysis in local domain

Abstract

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