A quasi-Newton interior point algorithm applied to constrained optimum design in computational fluid dynamics

José Herskovits; Emmanuel Laporte; Patrick Le Tallec; Gines Santos

doi:10.1080/12506559.1996.10511239

A quasi-Newton interior point algorithm applied to constrained optimum design in computational fluid dynamics

José Herskovits
, Emmanuel Laporte
, Patrick Le Tallec
, Gines Santos

Instituto de Biofisica da UFRJ
INRIA Rocquencourt

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

Abstract

This paper introduces and describes a second order interior point method well adapted to constrained shape optimal design in engineering. The theoritical background is presented and detailed implementation procedures are given in the case of nonlinear inequality constraints. The algorithm is then applied to two significative shape optimum problems in Computational Fluid dynamics.

Original language	English
Pages (from-to)	595-617
Number of pages	23
Journal	Revue Europeenne des Elements
Volume	5
Issue number	5-6
DOIs	https://doi.org/10.1080/12506559.1996.10511239
Publication status	Published - 1 Jan 1996
Externally published	Yes

Keywords

Adjoint state
CFD
Deflexion
Feasible sets
Interior points
Line search
Quasi-Newton

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10.1080/12506559.1996.10511239

Cite this

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title = "A quasi-Newton interior point algorithm applied to constrained optimum design in computational fluid dynamics",

abstract = "This paper introduces and describes a second order interior point method well adapted to constrained shape optimal design in engineering. The theoritical background is presented and detailed implementation procedures are given in the case of nonlinear inequality constraints. The algorithm is then applied to two significative shape optimum problems in Computational Fluid dynamics.",

keywords = "Adjoint state, CFD, Deflexion, Feasible sets, Interior points, Line search, Quasi-Newton",

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AU - Herskovits, José

AU - Laporte, Emmanuel

AU - Le Tallec, Patrick

AU - Santos, Gines

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Y1 - 1996/1/1

N2 - This paper introduces and describes a second order interior point method well adapted to constrained shape optimal design in engineering. The theoritical background is presented and detailed implementation procedures are given in the case of nonlinear inequality constraints. The algorithm is then applied to two significative shape optimum problems in Computational Fluid dynamics.

AB - This paper introduces and describes a second order interior point method well adapted to constrained shape optimal design in engineering. The theoritical background is presented and detailed implementation procedures are given in the case of nonlinear inequality constraints. The algorithm is then applied to two significative shape optimum problems in Computational Fluid dynamics.

KW - Adjoint state

KW - CFD

KW - Deflexion

KW - Feasible sets

KW - Interior points

KW - Line search

KW - Quasi-Newton

UR - https://www.scopus.com/pages/publications/0041038573

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DO - 10.1080/12506559.1996.10511239

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EP - 617

JO - Revue Europeenne des Elements

JF - Revue Europeenne des Elements

IS - 5-6

ER -

A quasi-Newton interior point algorithm applied to constrained optimum design in computational fluid dynamics

Abstract

Keywords

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