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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Belinha, J.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (22/22 displayed)
- 2023Analysis of Lattices Based on TPMS for Bone Scaffold
- 2022A bio-inspired remodelling algorithm combined with a natural neighbour meshless method to obtain optimized functionally graded materialscitations
- 2021The Radial Point Interpolation Method in the Bending Analysis Of Symmetric Laminates Using HSDTS
- 2021A meshless study of antisymmetric angle-ply laminates using high-order shear deformation theoriescitations
- 2021The influence of infill density gradient on the mechanical properties of PLA optimized structures by additive manufacturingcitations
- 2021The bending behaviour of antisymmetric cross-ply laminates using high-order shear deformation theories and a Radial Point Interpolation Methodcitations
- 2021Homogenizing the Elastic Properties of Composite Material Using the NNRPIM
- 2021Numerical analysis of honeycomb-shaped polymeric foams using the FEM and the RPIMcitations
- 2021Using a radial point interpolation meshless method and the finite element method for application of a bio-inspired remodelling algorithm in the design of optimized bone scaffoldcitations
- 2021Simulation of the viscoplastic extrusion process using the radial point interpolation meshless methodcitations
- 2020Analysis of antisymmetric cross-ply laminates using high-order shear deformation theories: a meshless approachcitations
- 2020The numerical analysis of symmetric cross-ply laminates using the natural neighbour radial point interpolation method and high-order shear deformation theoriescitations
- 2018The analysis of composite laminated beams using a 2D interpolating meshless techniquecitations
- 2018Simulating fracture propagation in brittle materials using a meshless approachcitations
- 2017Aluminum foam sandwich with adhesive bonding: Computational modelingcitations
- 2017The computational analysis of composite laminates: Meshless formulation
- 2016Vibration analysis of laminated soft core sandwich plates with piezoelectric sensors and actuatorscitations
- 2016The analysis of laminated plates using distinct advanced discretization meshless techniquescitations
- 2013Composite laminated plate analysis using the natural radial element methodcitations
- 2010Composite Laminated Plates: A 3D Natural Neighbor Radial Point Interpolation Method Approachcitations
- 2010A 3D shell-like approach using a natural neighbour meshless method: Isotropic and orthotropic thin structurescitations
- 2007Nonlinear analysis of plates and laminates using the element free Galerkin methodcitations
Places of action
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article
Composite Laminated Plates: A 3D Natural Neighbor Radial Point Interpolation Method Approach
Abstract
Based on the natural neighbor radial point interpolation method (NNRPIM), a 3D analysis of thick composite laminated plates is presented. The NNRPIM uses the natural neighbour concept in order to enforce nodal connectivity. Based on the Voronoi diagram small cells are created from the unstructured set of nodes discretizing the problem domain, the 'influence-cells', which are in fact influence domains entirely nodal dependent. The Delaunay triangles, the dual of the Voronoi cells, are used to create a node-dependent background mesh used in the numerical integration of the NNRPIM interpolation functions. The NNRPIM interpolation functions, used in the Galerkin weak form, are constructed in a process similar to that in the radial point interpolation method (RPIM) with some differences that modify the method performance. In the construction of the NNRPIM interpolation functions, no polynomial base is required and the used radial basis function (RBF) is the multiquadric RBF. The NNRPIM interpolation functions possess the delta Kronecker property, which simplifies the imposition of the natural and essential boundary conditions. In this work the 3D NNRPIM analysis is used to solve static and dynamic composite laminated plate problems. Thus, several benchmark examples are studied to demonstrate the effectiveness of the method.