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Simulating squeeze flows in multiaxial laminates: towards fully 3D mixed formulations

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TLDR
In this article, the same authors used a penalty formulation for circumventing the LBB constraints, which makes difficult the calculation on fiber tractions and compression forces, the last required in rheological characterizations.
Abstract
Thermoplastic composites are widely considered in structural parts. In this paper attention is paid to squeeze flow of continuous fiber laminates. In the case of unidirectional prepregs, the ply constitutive equation is modeled as a transversally isotropic fluid, that must satisfy both the fiber inextensibility as well as the fluid incompressibility. When laminate is squeezed the flow kinematics exhibits a complex dependency along the laminate thickness requiring a detailed velocity description through the thickness. In a former work the solution making use of an in-plane-out-of-plane separated representation within the PGD – Poper Generalized Decomposition – framework was successfully accomplished when both kinematic constraints (inextensibility and incompressibility) were introduced using a penalty formulation for circumventing the LBB constraints. However, such a formulation makes difficult the calculation on fiber tractions and compression forces, the last required in rheological characterizations. In this paper the former penalty formulation is substituted by a mixed formulation that makes use of two Lagrange multipliers, while addressing the LBB stability conditions within the separated representation framework, questions never until now addressed.

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Citations
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Proper generalized decomposition solutions within a domain decomposition strategy

TL;DR: Huerta et al. as mentioned in this paper proposed a proper generalized decomposition solution within a domain decomposition strategy, which has been published in final form at https://doi.10.1002/nme.5729.
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A staggered high-dimensional Proper Generalised Decomposition for coupled magneto-mechanical problems with application to MRI scanners

TL;DR: This paper presents a novel Proper Generalised Decomposition (PGD) based metamodel for the analysis of electro-magneto-mechanical interactions in the context of MRI scanner design, with three distinct novelties.
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A stabilized mixed formulation using the proper generalized decomposition for fluid problems

TL;DR: The resulting formulation is robust and can be used in a generalized multidimensional framework without undergoing any changes in either the PGD formulation or in the mesh conditioning.
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Nonintrusive reduced order model for parametric solutions of inertia relief problems

TL;DR: The main goal of this work is to develop a computational framework for the solution of unconstrained parametric structural problems with IR and the Proper Generalized Decomposition (PGD) method, and it is therefore possible to be integrated with commercial finite element (FE) packages.
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A new hybrid explicit/implicit in-plane-out-of-plane separated representation for the solution of dynamic problems defined in plate-like domains

TL;DR: A new efficient hybrid explicit/implicit in-plane-out-of-plane separated representation for dynamic problems defined in plate-like domains that allows computing 3D solutions with the stability constraint exclusively determined by the coarser in-planes discretization.
References
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Journal ArticleDOI

A new family of solvers for some classes of multidimensional partial differential equations encountered in kinetic theory modeling of complex fluids

TL;DR: This work states thatKinetic theory models involving the Fokker-Planck equation can be accurately discretized using a mesh support using a reduced approximation basis within an adaptive procedure making use of an efficient separation of variables.
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Consolidation Experiments for Laminate Composites

TL;DR: Consolidation experiments conducted on special prepregs made of constant viscosity oils and aligned graphite fibers reveal that, to a first approximation, the fiber network can be modelled as a nonlinear elastic network, and a model based on bending beam behavior is shown to accurately fit the data.
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An overview of the proper generalized decomposition with applications in computational rheology

TL;DR: The use of the PGD is illustrated in four problem categories related to computational rheology: the direct solution of the Fokker-Planck equation for complex fluids in configuration spaces of high dimension, the development of very efficient non-incremental algorithms for transient problems, and the solution of multidimensional parametric models obtained by introducing various sources of problem variability as additional coordinates.
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Advanced simulation of models defined in plate geometries: 3D solutions with 2D computational complexity

TL;DR: In-plane–out-of-plane separated representation of the involved fields within the context of the Proper Generalized Decomposition allows solving the fully 3D model by keeping a 2D characteristic computational complexity, without affecting the solvability of the resulting multidimensional model.
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