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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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Pellegrino, Antonio
University of Bath
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (29/29 displayed)
- 2024Strain rate and temperature dependence of short/unidirectional carbon fibre PEEK hybrid compositescitations
- 2024Strain rate and temperature dependence of short/unidirectional carbon fibre PEEK hybrid compositescitations
- 2024A data-driven rate and temperature dependent constitutive model of the compression response of a syntactic foamcitations
- 2024A comprehensive investigation on the temperature and strain rate dependent mechanical response of three polymeric syntactic foams for thermoforming and energy absorption applicationscitations
- 2024A Novel Specimen Design for Multiaxial Loading Experiments at High Strain Ratescitations
- 2023Dynamic response of Advanced Placed Ply compositescitations
- 2023Influence of Strain History on Dynamic Strain Localization and Stress State During High-Rate Tensile Loading of Titanium Alloys:Experiments, Modeling, and Analytical Methodscitations
- 2023A data-driven model of the yield and strain hardening response of commercially pure titanium in uniaxial stresscitations
- 2023Influence of Strain History on Dynamic Strain Localization and Stress State During High-Rate Tensile Loading of Titanium Alloyscitations
- 2022The dependency of compressive response of epoxy syntactic foam on the strain rate and temperature under rigid confinementcitations
- 2022Loading mode and lateral confinement dependent dynamic fracture of a glass ceramic Macorcitations
- 2022Pure shear plastic flow and failure of titanium alloys under quasi-static and dynamic torsional loadingcitations
- 2022Temperature dependent dynamic compressive response of PA66-GF30 composite under constant strain rate multiaxial loadingcitations
- 2022Experimental analysis of the multiaxial failure stress locus of commercially pure titanium at low and high rates of straincitations
- 2021Temperature dependent dynamic strain localization and failure of ductile polymeric rods under large deformationcitations
- 2021Thermomechanical constitutive behaviour of a near α titanium alloy over a wide range of strain ratescitations
- 2021Dynamic necking of a near α titanium alloy at high strain ratescitations
- 2021Measurement of pure shear constitutive relationship from torsion tests under quasi-static, medium, and high strain rate conditionscitations
- 2020Strain rate and temperature dependent strain localization of a near α titanium alloycitations
- 2020Dynamic tensile testing of needle-punched nonwoven fabricscitations
- 2020Rate dependent behaviour and dynamic strain localisation of three novel impact resilient titanium alloyscitations
- 2019A new technique for tensile testing of engineering materials and composites at high strain ratescitations
- 2018Measurements of the effects of pure and salt water absorption on the rate-dependent response of an epoxy matrixcitations
- 2018Effect of particle morphology, compaction, and confinement on the high strain rate behavior of sandcitations
- 2017Bayesian calibration of microCT-based DEM simulations for predicting the effective elastic response of granular materials
- 2017Strain rate dependence of mode II delamination resistance in through thickness reinforced laminated compositescitations
- 2016Effect of strain rate and fibre rotation on the in-plane shear response of ±45° laminates in tension and compression testscitations
- 2016The Dynamic Response of Etnean Sand and the Effect of Its Impingement on Ti-6Al-4 V Alloycitations
- 2015The mechanical response of a syntactic polyurethane foam at low and high rates of straincitations
Places of action
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document
Bayesian calibration of microCT-based DEM simulations for predicting the effective elastic response of granular materials
Abstract
A novel approach is presented for calibrating discrete element method (DEM) simulations of granular materials based on the sequential Bayesian parameter estimation over the experimental stress–strain responses. The initial DEM packing is bridged with microscopic computed tomography (microCT) images by quantitative assessments of particle morphologies and configuration, which are offered by the image processing techniques suitable for fine particles with material imperfections. The aim of this work is twofold: to establish a calibration procedure which estimates the posterior probability for the micro-mechanical parameter sets given the macroscopic measurements, and to numerically investigate the elastic response of an assembly of glass bead particles that obey the Hertzian law.<br/>We first introduce the feature-based watershed algorithm, which performs image filtering, geodesic reconstruction, feature-based segmentation, watershed separation and particle analysis on the microCT images of a glass bead packing cored at an isotropic pressure of five MPa. From the resulting particle morphologies and configuration, the contact force network within a representative volume of the packing in DEM simulations is inferred via a Monte Carlo inversion. By changing the interparticle friction coefficient and the size of the periodic cubic cell only, the effects of the micro-mechancial parameters on the inference are investigated, and the parameter sets that reproduce the initial bulk stress and void ratio with high accuracy are selected for a sequential Bayesian parameter estimation. The Bayesian estimation results in a posterior probability density function of the selected parameter sets, which is updated at each measurement step using the macroscopic measurements.<br/>We applied the presented approach to calibrating the microCT-based DEM simulation of the glass bead packing under an isotropic loading path. The results of the DEM simulation using the parameter set with the highest posterior probability are in good agreement with the experimental data. The parameter set was used in the DEM simulations to calculate the elastic moduli of the same granular material, which was found to agree well with the moduli values inferred from wave velocities.