Proper generalized decomposition for parametric study and material distribution design of multi-directional functionally graded plates based on 3D elasticity solution
The use of mesh-based numerical methods for a 3D elasticity solution of thick plates
involves high computational costs. This particularly limits parametric studies and material …
involves high computational costs. This particularly limits parametric studies and material …
A staggered high-dimensional proper generalised decomposition for coupled magneto-mechanical problems with application to MRI scanners
Abstract Manufacturing new Magnetic Resonance Imaging (MRI) scanners represents a
computational challenge to industry, due to the large variability in material parameters and …
computational challenge to industry, due to the large variability in material parameters and …
[HTML][HTML] Fast simulation of 3D elastic response for wheel–rail contact loading using Proper Generalized Decomposition
To increase computational efficiency, we adopt Proper Generalized Decomposition (PGD) to
solve a reduced-order problem of the displacement field for a three-dimensional rail head …
solve a reduced-order problem of the displacement field for a three-dimensional rail head …
[HTML][HTML] Three-dimensional modelling of laminated glass bending on two-dimensional in-plane mesh
J Jaśkowiec, P Pluciński, A Stankiewicz… - Composites Part B …, 2017 - Elsevier
The article presents an analysis of bending of a laminated glass (LG) plate. The analysis
uses a 3D physical model in which only a 2D in-plane mesh is applied for numerical …
uses a 3D physical model in which only a 2D in-plane mesh is applied for numerical …
Arlequin based PGD domain decomposition
Problems defined in fully or partially separable domains can be solved by considering a
space separated representation of the unknown fields. Thus three-dimensional problems …
space separated representation of the unknown fields. Thus three-dimensional problems …
Space-energy separated representations for multigroup neutron diffusion using proper generalized decompositions
ZM Prince, JC Ragusa - Annals of Nuclear Energy, 2020 - Elsevier
Proper generalized decomposition (PGD) can be described as a numerical extension of
separation of variables and thus be employed as a solution technique for multi-dimensional …
separation of variables and thus be employed as a solution technique for multi-dimensional …
A regularised-adaptive Proper Generalised Decomposition implementation for coupled magneto-mechanical problems with application to MRI scanners
Latest developments in high-strength Magnetic Resonance Imaging (MRI) scanners with in-
built high resolution, have dramatically enhanced the ability of clinicians to diagnose …
built high resolution, have dramatically enhanced the ability of clinicians to diagnose …
Parametric model for the simulation of the railway catenary system static equilibrium problem
Dynamic simulations of pantograph–catenary interaction are nowadays essential for
improving the performance of railway locomotives, by achieving better current collection at …
improving the performance of railway locomotives, by achieving better current collection at …
Prediction of Evolving Plasticity in Rails Under Steady State Rolling Contact Based on Reduced-Order Modeling
Predicting railhead damage due to multiple wheel passes in railway operations can be
computationally demanding, especially when accounting for the rail's inelastic material …
computationally demanding, especially when accounting for the rail's inelastic material …
Reduced Order Modeling of Neutron Diffusion and Transport Using Proper Generalized Decomposition
ZM Prince - 2019 - search.proquest.com
This research explores the application of a reduced order modeling technique known as
proper generalized decomposition (PGD) to models commonly employed in nuclear science …
proper generalized decomposition (PGD) to models commonly employed in nuclear science …