Simonin, Olivier

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orcid::0000-0002-2794-7662
  • Simonin, Olivier (3)
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Author's Bibliography

Modelling of three-dimensional particle rebound from an anisotropic rough wall

Radenković, Darko; Simonin, Olivier

(Elsevier, Amsterdam, 2021)

TY  - JOUR
AU  - Radenković, Darko
AU  - Simonin, Olivier
PY  - 2021
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3489
AB  - In gas-solid confined flows, particle rebound on a rough wall may have a great influence on the macroscopic properties of both phases. Existing simulation methods use simplified approaches where surface roughness is modelled as two-dimensional or isotropic. To improve the accuracy of such simulations, an anisotropic virtual rough wall statistical approach and the corresponding Lagrangian stochastic particle-wall collision model are proposed. From deterministic simulations of the impact of particles on the anisotropic virtual wall given as correlated bi-Gaussian surface, wall-normal vector angle statistics are used for model development. Rebound angle statistics computed from deterministic simulations and using the proposed stochastic model are in very good agreement. Incident particles in vertical planes not collinear with one of the principal directions of the anisotropic rough surface are bouncing with a mean transverse angle towards the principal direction of lower roughness.
PB  - Elsevier, Amsterdam
T2  - Powder Technology
T1  - Modelling of three-dimensional particle rebound from an anisotropic rough wall
EP  - 183
SP  - 165
VL  - 393
DO  - 10.1016/j.powtec.2021.07.055
ER  - 
@article{
author = "Radenković, Darko and Simonin, Olivier",
year = "2021",
abstract = "In gas-solid confined flows, particle rebound on a rough wall may have a great influence on the macroscopic properties of both phases. Existing simulation methods use simplified approaches where surface roughness is modelled as two-dimensional or isotropic. To improve the accuracy of such simulations, an anisotropic virtual rough wall statistical approach and the corresponding Lagrangian stochastic particle-wall collision model are proposed. From deterministic simulations of the impact of particles on the anisotropic virtual wall given as correlated bi-Gaussian surface, wall-normal vector angle statistics are used for model development. Rebound angle statistics computed from deterministic simulations and using the proposed stochastic model are in very good agreement. Incident particles in vertical planes not collinear with one of the principal directions of the anisotropic rough surface are bouncing with a mean transverse angle towards the principal direction of lower roughness.",
publisher = "Elsevier, Amsterdam",
journal = "Powder Technology",
title = "Modelling of three-dimensional particle rebound from an anisotropic rough wall",
pages = "183-165",
volume = "393",
doi = "10.1016/j.powtec.2021.07.055"
}
Radenković, D.,& Simonin, O.. (2021). Modelling of three-dimensional particle rebound from an anisotropic rough wall. in Powder Technology
Elsevier, Amsterdam., 393, 165-183.
https://doi.org/10.1016/j.powtec.2021.07.055
Radenković D, Simonin O. Modelling of three-dimensional particle rebound from an anisotropic rough wall. in Powder Technology. 2021;393:165-183.
doi:10.1016/j.powtec.2021.07.055 .
Radenković, Darko, Simonin, Olivier, "Modelling of three-dimensional particle rebound from an anisotropic rough wall" in Powder Technology, 393 (2021):165-183,
https://doi.org/10.1016/j.powtec.2021.07.055 . .
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Large Eddy Simulation of particle laden turbulent channel flows with isotropic or non-isotropic wall roughness

Radenković, Darko; Fede, Pascal; Simonin, Olivier; Crnojevic, Cvetko

(2019)

TY  - CONF
AU  - Radenković, Darko
AU  - Fede, Pascal
AU  - Simonin, Olivier
AU  - Crnojevic, Cvetko
PY  - 2019
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/6672
C3  - 10th International Conference of Multiphase Flow
T1  - Large Eddy Simulation of particle laden  turbulent channel flows with isotropic or non-isotropic wall roughness
UR  - https://hdl.handle.net/21.15107/rcub_machinery_6672
ER  - 
@conference{
author = "Radenković, Darko and Fede, Pascal and Simonin, Olivier and Crnojevic, Cvetko",
year = "2019",
journal = "10th International Conference of Multiphase Flow",
title = "Large Eddy Simulation of particle laden  turbulent channel flows with isotropic or non-isotropic wall roughness",
url = "https://hdl.handle.net/21.15107/rcub_machinery_6672"
}
Radenković, D., Fede, P., Simonin, O.,& Crnojevic, C.. (2019). Large Eddy Simulation of particle laden  turbulent channel flows with isotropic or non-isotropic wall roughness. in 10th International Conference of Multiphase Flow.
https://hdl.handle.net/21.15107/rcub_machinery_6672
Radenković D, Fede P, Simonin O, Crnojevic C. Large Eddy Simulation of particle laden  turbulent channel flows with isotropic or non-isotropic wall roughness. in 10th International Conference of Multiphase Flow. 2019;.
https://hdl.handle.net/21.15107/rcub_machinery_6672 .
Radenković, Darko, Fede, Pascal, Simonin, Olivier, Crnojevic, Cvetko, "Large Eddy Simulation of particle laden  turbulent channel flows with isotropic or non-isotropic wall roughness" in 10th International Conference of Multiphase Flow (2019),
https://hdl.handle.net/21.15107/rcub_machinery_6672 .

Stochastic modelling of three-dimensional particle rebound from isotropic rough wall surface

Radenković, Darko; Simonin, Olivier

(Pergamon-Elsevier Science Ltd, Oxford, 2018)

TY  - JOUR
AU  - Radenković, Darko
AU  - Simonin, Olivier
PY  - 2018
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2900
AB  - This paper describes an extension of the two-dimensional approach to particle-rough wall collision modelling (Sommerfeld and Huber, 1999; Konan et al., 2009) to the case of three-dimensional particle rebound from an isotropic rough wall surface. The virtual three-dimensional rough wall is represented as a Gaussian correlated surface. Normal vector angle statistical distributions are investigated in detail for such virtual rough walls, and a statistical modelling approach for these angles is proposed and validated in the frame of the low roughness approximation. Next, deterministic simulations of fully elastic particle collisions with the three-dimensional virtual wall roughness structure are carried out for various particle incident angles. It is shown that the rebound angle, in the bouncing plane of the particle, obeys the distribution given by the two-dimensional modelling approach. However, the three-dimensional structure induces a transverse deviation bouncing angle that obeys a Gaussian distribution with a standard deviation that increases with increase in incident angle. A statistical modelling approach for the virtual wall normal vector seen by any particle for a given incident angle is proposed and validated from deterministic simulation results. The probability that particles make only one rebound is in agreement with the two-dimensional multiple-collision model assumption. A new stochastic procedure for particle-isotropic rough wall interactions in a Lagrangian framework is developed and verified by comparisons with deterministic simulations and available experimental results.
PB  - Pergamon-Elsevier Science Ltd, Oxford
T2  - International Journal of Multiphase Flow
T1  - Stochastic modelling of three-dimensional particle rebound from isotropic rough wall surface
EP  - 50
SP  - 35
VL  - 109
DO  - 10.1016/j.ijmultiphaseflow.2018.07.013
ER  - 
@article{
author = "Radenković, Darko and Simonin, Olivier",
year = "2018",
abstract = "This paper describes an extension of the two-dimensional approach to particle-rough wall collision modelling (Sommerfeld and Huber, 1999; Konan et al., 2009) to the case of three-dimensional particle rebound from an isotropic rough wall surface. The virtual three-dimensional rough wall is represented as a Gaussian correlated surface. Normal vector angle statistical distributions are investigated in detail for such virtual rough walls, and a statistical modelling approach for these angles is proposed and validated in the frame of the low roughness approximation. Next, deterministic simulations of fully elastic particle collisions with the three-dimensional virtual wall roughness structure are carried out for various particle incident angles. It is shown that the rebound angle, in the bouncing plane of the particle, obeys the distribution given by the two-dimensional modelling approach. However, the three-dimensional structure induces a transverse deviation bouncing angle that obeys a Gaussian distribution with a standard deviation that increases with increase in incident angle. A statistical modelling approach for the virtual wall normal vector seen by any particle for a given incident angle is proposed and validated from deterministic simulation results. The probability that particles make only one rebound is in agreement with the two-dimensional multiple-collision model assumption. A new stochastic procedure for particle-isotropic rough wall interactions in a Lagrangian framework is developed and verified by comparisons with deterministic simulations and available experimental results.",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "International Journal of Multiphase Flow",
title = "Stochastic modelling of three-dimensional particle rebound from isotropic rough wall surface",
pages = "50-35",
volume = "109",
doi = "10.1016/j.ijmultiphaseflow.2018.07.013"
}
Radenković, D.,& Simonin, O.. (2018). Stochastic modelling of three-dimensional particle rebound from isotropic rough wall surface. in International Journal of Multiphase Flow
Pergamon-Elsevier Science Ltd, Oxford., 109, 35-50.
https://doi.org/10.1016/j.ijmultiphaseflow.2018.07.013
Radenković D, Simonin O. Stochastic modelling of three-dimensional particle rebound from isotropic rough wall surface. in International Journal of Multiphase Flow. 2018;109:35-50.
doi:10.1016/j.ijmultiphaseflow.2018.07.013 .
Radenković, Darko, Simonin, Olivier, "Stochastic modelling of three-dimensional particle rebound from isotropic rough wall surface" in International Journal of Multiphase Flow, 109 (2018):35-50,
https://doi.org/10.1016/j.ijmultiphaseflow.2018.07.013 . .
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