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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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Rabczuk, Timon
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (37/37 displayed)
- 2023Prediction of shear behavior of glass FRP bars-reinforced ultra-highperformance concrete I-shaped beams using machine learningcitations
- 2021An efficient optimization approach for designing machine learning models based on genetic algorithm
- 2021A Multiscale Investigation on the Thermal Transport in Polydimethylsiloxane Nanocomposites: Graphene vs. Borophenecitations
- 2021A Multiscale Investigation on the Thermal Transport in Polydimethylsiloxane Nanocomposites: Graphene vs. Borophene
- 2019Computational Machine Learning Representation for the Flexoelectricity Effect in Truncated Pyramid Structures
- 2019Enhancement in hydrogen storage capacities of light metal functionalized Boron–Graphdiyne nanosheetscitations
- 2019Theoretical realization of two-dimensional M 3 (C 6 X 6 ) 2 (M = Co, Cr, Cu, Fe, Mn, Ni, Pd, Rh and X = O, S, Se) metal–organic frameworkscitations
- 2018Fracture Properties of Graphene-Coated Silicon for Photovoltaicscitations
- 2018First-principles investigation of Ag-, Co-, Cr-, Cu-, Fe-, Mn-, Ni-, Pd- and Rh-hexaaminobenzene 2D metal-organic frameworkscitations
- 2017Metamorphosis in carbon network: From penta-graphene to biphenylene under uniaxial tensioncitations
- 2017Uncertainties propagation in metamodel-based probabilistic optimization of CNT/polymer composite structure using stochastic multi-scale modeling
- 2017Determiniation of shear modulus for double and multi-walled Carbon Nanotubes
- 2017A unified framework for stochastic predictions of Young's modulus of clay/epoxy nanocomposites (PCNs)
- 2017Graphene or h-BN paraffin composite structures for the thermal management of Li-ion batteries: A multiscale investigationcitations
- 2017Isogeometric analysis suitable trivariate NURBS representation of composite panels with a new offset algorithm
- 2017First-principles investigation of mechanical properties of silicene, germanene and stanenecitations
- 2017Uncertainty quantification for multiscale modeling of polymer nanocomposites with correlated parameters
- 2017A structural insight into mechanical strength of graphene-like carbon and carbon nitride networkscitations
- 2017Stochastic predictions of interfacial characteristic of polymeric nanocomposites (PNCs)
- 2017Load transfer of graphene/carbon nanotube/polyethylene hybrid nanocomposite by molecular dynamics simulation
- 2017Paraffin Nanocomposites for Heat Management of Lithium-Ion Batteries: A Computational Investigationcitations
- 2016Borophene as an anode material for Ca, Mg, Na or Li ion storage: A first-principle studycitations
- 2016Mechanical responses of borophene sheets: a first-principles studycitations
- 2016Application of silicene, germanene and stanene for Na or Li ion storage: A theoretical investigationcitations
- 2015Mechanical properties and thermal conductivity of graphitic carbon nitride: A molecular dynamics studycitations
- 2015Probabilistic multiconstraints optimization of cooling channels in ceramic matrix compositescitations
- 2014Load transfer of graphene/carbon nanotube/polyethylene hybrid nanocomposite by molecular dynamics simulations
- 2014Optimization of fiber distribution in fiber reinforced composite by using NURBS functions
- 2014Isogeometric analysis suitable trivariate NURBS representation of composite panels with a new offset algorithmcitations
- 2014Stochastic modelling of clay/epoxy nanocompositescitations
- 2014Load transfer of graphene/carbon nanotube/polyethylene hybrid nanocomposite by molecular dynamics simulationcitations
- 2014Load transfer of graphene/carbon nanotube/polyethylene hybrid nanocomposite by molecular dynamics simulationcitations
- 2014An integrated design-analysis framework for three dimensional composite panels
- 2013Optimization of elastic properties and weaving patterns of woven compositescitations
- 2010On three-dimensional modelling of crack growth using partition of unity methodscitations
- 2008A geometrically non-linear three-dimensional cohesive crack method for reinforced concrete structurescitations
- 2007A three-dimensional meshfree method for continuous multiple-crack initiation, propagation and junction in statics and dynamicscitations
Places of action
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article
Load transfer of graphene/carbon nanotube/polyethylene hybrid nanocomposite by molecular dynamics simulation
Abstract
Load transfer of the graphene/carbon nanotube (CNT)/polyethylene hybrid nanocomposite is studied here from molecular dynamics (MD) simulations. Simulations of this composite material under uniaxial tension were conducted by varying CNT’s position and diameter in the polymer matrix. The obtained results show that: (1) The peak strength of stress and strain evolution in the polymer matrix is lower than the peak strength of the graphene/graphene and graphene/polymer interfaces. Hence, the damage zone is always located in the polymer matrix. (2) Agglomerated two-layer graphenes do not possess an increased value in the peak strength compared with single-layer graphene-reinforced polymer nanocomposite (PNC), while two separate layers of graphene show slightly higher peak strength. (3) The largest peak strength is observed before CNT moves to the center of the polymer matrix. The damage location moves from the upper to the lower part of CNT when the CNT is located at the centre of polymer matrix. (4) The influence of the CNT diameter on the peak strength is not obvious, while the damage location and shape in the polymer matrix changes with respect to varying CNT diameters. In addition, the damage zone always falls outside the interphase zone.