Development of a parametric model order reduction method for laminated composite structures

Walter Bova; Ettore Lappano; Domenico Mundo; Piervincenzo Catera

doi:10.1016/j.compstruct.2020.112219

Development of a parametric model order reduction method for laminated composite structures

Walter Bova, Ettore Lappano, Domenico Mundo^*, Piervincenzo Catera

^*Corresponding author for this work

Working Group areaC

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

Abstract

This paper presents a parametric model order reduction (PMOR) method for laminated composite structures. The approach is applied to a lattice structure made of carbon fibre reinforced polymer (CFRP) beams. The global reduced order basis (ROB) used to apply the reduction is calculated with two different methods: the Modal-SVD (singular value decomposition) and the proper orthogonal decomposition (POD). Then, the reduced model is obtained by a Galerkin projection. The parametrization is carried out for the angle between the layers of the structure and for the thickness of the structure. The results show how the use of the reduced basis (RB) method to create reduced parametric models of composite structures is an efficient approach that allows to decrease the computational cost of the simulation.

Original language	English
Article number	112219
Journal	Composite Structures
Volume	243
DOIs	https://doi.org/10.1016/j.compstruct.2020.112219
Publication status	Published - 1 Jul 2020

Keywords

Finite Element Method
Laminated composite structures
Parametric model order reduction
Reduced basis method

ASJC Scopus subject areas

Ceramics and Composites
Civil and Structural Engineering

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10.1016/j.compstruct.2020.112219

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title = "Development of a parametric model order reduction method for laminated composite structures",

abstract = "This paper presents a parametric model order reduction (PMOR) method for laminated composite structures. The approach is applied to a lattice structure made of carbon fibre reinforced polymer (CFRP) beams. The global reduced order basis (ROB) used to apply the reduction is calculated with two different methods: the Modal-SVD (singular value decomposition) and the proper orthogonal decomposition (POD). Then, the reduced model is obtained by a Galerkin projection. The parametrization is carried out for the angle between the layers of the structure and for the thickness of the structure. The results show how the use of the reduced basis (RB) method to create reduced parametric models of composite structures is an efficient approach that allows to decrease the computational cost of the simulation.",

keywords = "Finite Element Method, Laminated composite structures, Parametric model order reduction, Reduced basis method",

author = "Walter Bova and Ettore Lappano and Domenico Mundo and Piervincenzo Catera",

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T1 - Development of a parametric model order reduction method for laminated composite structures

AU - Bova, Walter

AU - Lappano, Ettore

AU - Mundo, Domenico

AU - Catera, Piervincenzo

PY - 2020/7/1

Y1 - 2020/7/1

N2 - This paper presents a parametric model order reduction (PMOR) method for laminated composite structures. The approach is applied to a lattice structure made of carbon fibre reinforced polymer (CFRP) beams. The global reduced order basis (ROB) used to apply the reduction is calculated with two different methods: the Modal-SVD (singular value decomposition) and the proper orthogonal decomposition (POD). Then, the reduced model is obtained by a Galerkin projection. The parametrization is carried out for the angle between the layers of the structure and for the thickness of the structure. The results show how the use of the reduced basis (RB) method to create reduced parametric models of composite structures is an efficient approach that allows to decrease the computational cost of the simulation.

AB - This paper presents a parametric model order reduction (PMOR) method for laminated composite structures. The approach is applied to a lattice structure made of carbon fibre reinforced polymer (CFRP) beams. The global reduced order basis (ROB) used to apply the reduction is calculated with two different methods: the Modal-SVD (singular value decomposition) and the proper orthogonal decomposition (POD). Then, the reduced model is obtained by a Galerkin projection. The parametrization is carried out for the angle between the layers of the structure and for the thickness of the structure. The results show how the use of the reduced basis (RB) method to create reduced parametric models of composite structures is an efficient approach that allows to decrease the computational cost of the simulation.

KW - Finite Element Method

KW - Laminated composite structures

KW - Parametric model order reduction

KW - Reduced basis method

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DO - 10.1016/j.compstruct.2020.112219

M3 - Article

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VL - 243

JO - Composite Structures

JF - Composite Structures

M1 - 112219

ER -

Development of a parametric model order reduction method for laminated composite structures

Abstract

Keywords

ASJC Scopus subject areas

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