Homogenisation metamodelling of perforated plates

TL Lew; FL Scarpa; K Worden

doi:10.1111/j.1475-1305.2004.00137.x

Homogenisation metamodelling of perforated plates

TL Lew, FL Scarpa, K Worden

Department of Aerospace Engineering

Research output: Contribution to journal › Article (Academic Journal) › peer-review

2 Citations (Scopus)

Abstract

The use of finite element (FE)-based homogenisation has improved the study of composite material properties. However, it involves enormous computational effort when implemented in engineering design problems. Therefore an artificial neural network (ANN) surrogate model is proposed here to avoid this issue. In this study, a numerical homogenisation code was developed based on a commercial FE package. It is used to develop the ANN metamodel for an individual composite structure. The effectiveness of the metamodel was examined through an analytical optimisation procedure.

Translated title of the contribution	Homogenisation metamodelling of perforated plates
Original language	English
Pages (from-to)	103 - 112
Number of pages	7
Journal	Strain
Volume	40(3)
DOIs	https://doi.org/10.1111/j.1475-1305.2004.00137.x
Publication status	Published - Aug 2004

Bibliographical note

Publisher: Blackwell Publishing Ltd

Access to Document

10.1111/j.1475-1305.2004.00137.x

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title = "Homogenisation metamodelling of perforated plates",

abstract = "The use of finite element (FE)-based homogenisation has improved the study of composite material properties. However, it involves enormous computational effort when implemented in engineering design problems. Therefore an artificial neural network (ANN) surrogate model is proposed here to avoid this issue. In this study, a numerical homogenisation code was developed based on a commercial FE package. It is used to develop the ANN metamodel for an individual composite structure. The effectiveness of the metamodel was examined through an analytical optimisation procedure.",

author = "TL Lew and FL Scarpa and K Worden",

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year = "2004",

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doi = "10.1111/j.1475-1305.2004.00137.x",

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AU - Lew, TL

AU - Scarpa, FL

AU - Worden, K

N1 - Publisher: Blackwell Publishing Ltd

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N2 - The use of finite element (FE)-based homogenisation has improved the study of composite material properties. However, it involves enormous computational effort when implemented in engineering design problems. Therefore an artificial neural network (ANN) surrogate model is proposed here to avoid this issue. In this study, a numerical homogenisation code was developed based on a commercial FE package. It is used to develop the ANN metamodel for an individual composite structure. The effectiveness of the metamodel was examined through an analytical optimisation procedure.

AB - The use of finite element (FE)-based homogenisation has improved the study of composite material properties. However, it involves enormous computational effort when implemented in engineering design problems. Therefore an artificial neural network (ANN) surrogate model is proposed here to avoid this issue. In this study, a numerical homogenisation code was developed based on a commercial FE package. It is used to develop the ANN metamodel for an individual composite structure. The effectiveness of the metamodel was examined through an analytical optimisation procedure.

U2 - 10.1111/j.1475-1305.2004.00137.x

DO - 10.1111/j.1475-1305.2004.00137.x

M3 - Article (Academic Journal)

VL - 40(3)

SP - 103

EP - 112

JO - Strain

JF - Strain

SN - 0039-2103

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