Development of 6-way CFD-DEM-FEM momentum coupling interface using partitioned coupling approach

Fluid-particle-structure interaction; Multi-physics; Particle laden flow; Partitioned coupling; Volume coupling; CFD-DEM; Coupling interfaces; Fluid particles; Particles structure

Abstract :

[en] Fluid-particle-structure interactions (FPSI) govern a wide range of natural and engineering phenomena, from landslides to erosion in abrasive water jet cutting nozzles. Despite the importance of studying FPSI, existing numerical frameworks often simplify or neglect certain physics, limiting their applicability. This work introduces a novel 6-way CFD-DEM-FEM momentum coupling for FPSI using a partitioned coupling approach, providing a flexible and adaptable solution. Our prototype uses the preCICE coupling library to couple three numerical solvers: OpenFOAM for fluid dynamics, eXtended Discrete Element Method (XDEM) for particle motion, and CalculiX for structural mechanics. The coupling approach extends existing adapters and introduces a novel XDEM preCICE adapter, allowing data exchange over surface and volumetric meshes. Numerical experiments successfully demonstrate the 6-way coupling, showcasing fluid-structure interactions and particle dynamics. The versatility of the partitioned coupling approach is highlighted, allowing the interchangeability of different single-physics solvers and facilitating the study of complex FPSI phenomena. This article offers a thorough description of the methodology, coupling strategies, and detailed results, offering insights into the advantages and disadvantages of the proposed approach. This work lays the groundwork for a scalable and customizable FPSI simulation framework with a wide range of applications.

Research center :

LuXDEM - University of Luxembourg: Luxembourg XDEM Research Centre

Disciplines :

Engineering, computing & technology: Multidisciplinary, general & others

Author, co-author :

ADHAV, Prasad ; University of Luxembourg > Faculty of Science, Technology and Medicine > Department of Engineering > Team Bernhard PETERS

BESSERON, Xavier ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)

PETERS, Bernhard ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)

External co-authors :

Language :

English

Title :

Development of 6-way CFD-DEM-FEM momentum coupling interface using partitioned coupling approach

Publication date :

June 2024

Journal title :

Results in Engineering

eISSN :

2590-1230

Publisher :

Elsevier B.V.

Volume :

Pages :

102214

Peer reviewed :

Peer Reviewed verified by ORBi

Focus Area :

Computational Sciences

Additional URL :

https://www.sciencedirect.com/science/article/pii/S2590123024004699

FnR Project :

FNR13558062 - Investigation Into The Evolution Of Grain Structure For Metal Additive Manufacturing, 2019 (01/04/2019-31/03/2023) - Navid Aminnia
FNR14843353 - From Micro To Macro – Fundamental Concrete Modelling Considering Local Shear Rate And Microstructure Inhomogeneities Due To Processing Using A Scale-bridging Approach, 2020 (01/08/2021-31/07/2024) - Bernhard Peters

Funders :

Fonds National de la Recherche Luxembourg

Funding text :

This research was partially supported by Luxembourg National Research Fund (project numbers 13558062 and 14843353).

Available on ORBilu :

since 16 July 2024

Statistics

Number of views

35 (10 by Unilu)

Number of downloads

23 (3 by Unilu)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

OpenCitations

OpenAlex citations

WoS citations^™

Bibliography

Hou, Gene, Wang, Jin, Layton, Anita, Numerical methods for fluid-structure interaction—a review. Commun. Comput. Phys. 12:2 (2012), 337–377.
Kim, Woojin, Choi, Haecheon, Immersed boundary methods for fluid-structure interaction: a review. Int. J. Heat Fluid Flow 75 (2019), 301–309.
Oñate, Eugenio, et al. The particle finite element method—an overview. Int. J. Comput. Methods 1:02 (2004), 267–307.
Liu, Moubin, Zhang, Zhilang, Smoothed particle hydrodynamics (SPH) for modeling fluid-structure interactions. Sci. China, Phys. Mech. Astron. 62 (2019), 1–38.
Xu, Fei, et al. On methodology and application of smoothed particle hydrodynamics in fluid, solid and biomechanics. Acta Mech. Sin., 39(2), 2023, 722185.
Kamakoti, Ramji, Shyy, Wei, Fluid–structure interaction for aeroelastic applications. Prog. Aerosp. Sci. 40:8 (2004), 535–558.
Abbas, Syed Samar, Nasif, Mohammad Shakir, Al-Waked, Rafat, State-of-the-art numerical fluid–structure interaction methods for aortic and mitral heart valves simulations: a review. Simulation 98:1 (2022), 3–34.
Bazilevs, Yuri, et al. Computer modeling of wind turbines: 2. free-surface FSI and fatigue-damage. Arch. Comput. Methods Eng. 26 (2019), 1101–1115.
Kulkarni, Siddharth Suhas, et al. Fluid-structure interaction based optimisation in tidal turbines: a perspective review. J. Ocean Eng. Sci. 7:5 (2022), 449–461.
Abbas, Tajammal, Kavrakov, Igor, Morgenthal, Guido, Methods for flutter stability analysis of long-span bridges: a review.Proceedings of the Institution of Civil Engineers. Bridge Eng., 170(4), 2017, 271–310 Thomas Telford Ltd.
Tijsseling, A.S., Fluid-structure interaction in liquid-filled pipe systems: a review. J. Fluids Struct. 10:2 (1996), 109–146.
Keim, Vincent, et al. FSI-simulation of ductile fracture propagation and arrest in pipelines: comparison with existing data of full-scale burst tests. Int. J. Press. Vessels Piping, 182, 2020, 104067.
Peters, Bernhard, et al. XDEM multi-physics and multi-scale simulation technology: review of DEM–CFD coupling, methodology and engineering applications. Particuology 44 (2019), 176–193.
Wang, Xiaoyu, et al. Developments and applications of the CFD-DEM method in particle–fluid numerical simulation in petroleum engineering: a review. Appl. Therm. Eng., 222, 2023, 119865.
Kuang, Shibo, Zhou, Mengmeng, Yu, Aibing, CFD-DEM modelling and simulation of pneumatic conveying: a review. Powder Technol. 365 (2020), 186–207.
Aminnia, Navid, et al. Three-dimensional CFD-DEM simulation of raceway transport phenomena in a blast furnace. Fuel, 334, 2023, 126574.
El-Emam, Mahmoud A., et al. Theories and applications of CFD–DEM coupling approach for granular flow: a review. Arch. Comput. Methods Eng., 2021, 1–42.
Zhao, Zhenjiang, et al. Recent advances and perspectives of CFD–DEM simulation in fluidized bed. Arch. Comput. Methods Eng., 2023, 1–48.
Adhav, Prasad, et al. Numerical insights into rock–ice avalanche geophysical flow mobility through CFD–DEM simulation. Comput. Part. Mech., 2024, 10.1007/s40571-023-00699-3.
Chen, Fanbao, et al. Sand-ejecting fire extinguisher parameter sensitivity analysis based on DOE and CFD-DEM coupling simulations. Adv. Powder Technol., 33(9), 2022, 103719.
Kong, Yong, Zhao, Jidong, Li, Xingyue, Hydrodynamic dead zone in multiphase geophysical flows impacting a rigid obstacle. Powder Technol. 386 (2021), 335–349.
Yao, Liming, et al. An optimized CFD-DEM method for particle collision and retention analysis of two-phase flow in a reduced-diameter pipe. Powder Technol., 405, 2022, 117547.
Forsström, Dan, Jonsén, Pär, Calibration and validation of a large scale abrasive wear model by coupling DEM-FEM: local failure prediction from abrasive wear of tipper bodies during unloading of granular material. Eng. Fail. Anal. 66 (2016), 274–283.
Surkutwar, Yogesh, Sandu, Corina, Untaroiu, Costin, Review of modeling methods of compressed snow-tire interaction. J. Terramech. 105 (2023), 27–40.
Wu, Boqiang, et al. Numerical simulation of erosion and fatigue failure the coal gangue paste filling caused to pumping pipes. Eng. Fail. Anal., 134, 2022, 106081.
Wang, Wei, et al. Using FEM–DEM coupling method to study three-body friction behavior. Wear 318:1–2 (2014), 114–123.
Shiri, Seddik, 3D numerical modeling of flows on a reduced model of a ski jump spillway with an erosion pit using a coupled SPH–FEM-DEM approach. J. Appl. Water Eng. Res., 2023, 1–13.
Leonardi, Alessandro, et al. Particle–fluid–structure interaction for debris flow impact on flexible barriers. Comput.-Aided Civ. Infrastruct. Eng. 31:5 (2016), 323–333.
Liu, Chun, Yu, Zhixiang, Zhao, Shichun, A coupled SPH-DEM-FEM model for fluid-particle-structure interaction and a case study of Wenjia gully debris flow impact estimation. Landslides 18 (2021), 2403–2425.
Yao, L.M., et al. A new multi-field coupled dynamic analysis method for fracturing pipes. J. Pet. Sci. Eng., 196, 2021, 108023.
Beyralvand, Davood, Banazadeh, Farzad, Moghaddas, Rasoul, Numerical investigation of novel geometric solutions for erosion problem of standard elbows in gas-solid flow using CFD-DEM. Results Eng., 17, 2023, 101014.
Indiketiya, Samanthi, Jegatheesan, Piratheepan, Rajeev, Pathmanathan, Evaluation of defective sewer pipe–induced internal erosion and associated ground deformation using laboratory model test. Can. Geotech. J. 54:8 (2017), 1184–1195.
Parameshwaran, R., Dhulipalla, Sai Jathin, Yendluri, Daseswara Rao, Fluid-structure interactions and flow induced vibrations: a review. Proc. Eng. 144 (2016), 1286–1293.
Jonsén, Pär, et al. A novel method for modelling of interactions between pulp, charge and mill structure in tumbling Mills. Miner. Eng. 63 (2014), 65–72.
Larsson, Simon, et al. A novel approach for modelling of physical interactions between slurry, grinding media and mill structure in wet stirred media Mills. Miner. Eng., 148, 2020, 106180.
Zhang, Dong-Mei, Han, Lei, Huang, Zhong-Kai, A numerical approach for fluid-particle-structure interactions problem with CFD-DEM-CSD coupling method. Comput. Geotech., 152, 2022, 105007.
Pozzetti, Gabriele, et al. A co-located partitions strategy for parallel CFD–DEM couplings. Adv. Powder Technol. 29:12 (2018), 3220–3232.
Idelsohn, Sergio R., Numerical Simulations of Coupled Problems in Engineering. 2014, Springer.
Uekermann, Benjamin Walter, Partitioned fluid-structure interaction on massively parallel systems. PhD thesis, 2016, Technische Universität München.
Besseron, Xavier, Rusche, Henrik, Peters, Bernhard, Parallel multi-physics simulation of biomass furnace and cloud-based workflow for SMEs. (English) Practice and Experience in Advanced Research Computing (PEARC '22), CE - Commission Européenne [BE], July 2022, Association for Computing Machinery, Boston, MA, United States, 10.1145/3491418.3530294 https://pearc.acm.org/pearc22/pearc.acm.org/pearc22/.
Besseron, Xavier, Adhav, Prasad, Peters, Bernhard, Parallel multi-physics coupled simulation of a midrex blast furnace. Proceedings of the HPC Asia 2024 Workshops, 2024, Association for Computing Machinery, New York, NY, United States, 10.1145/3636480.3636484.
Duchaine, Florent, et al. Analysis of high performance conjugate heat transfer with the openpalm coupler. Comput. Sci. Discov., 8(1), 2015, 015003.
Slattery, S., Wilson, P.P.H., Pawlowski, R., The Data Transfer Kit: a geometric rendezvous-based tool for multiphysics data transfer. International Conference on Mathematics & Computational Methods Applied to Nuclear Science & Engineering (M&C 2013), 2013, 5–9.
Pelupessy, F.I., et al. The astrophysical multipurpose software environment. Astron. Astrophys., 557, 2013, A84.
Di Natale, Francesco, et al. A massively parallel infrastructure for adaptive multiscale simulations: modeling RAS initiation pathway for cancer. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2019, 1–16.
Krzhizhanovskaya, V.V., et al. Preface: Twenty Years of Computational Science. Lecture Notes in Computer Science, vol. 12142, 2020.
Tang, Yu-Hang, et al. Multiscale universal interface: a concurrent framework for coupling heterogeneous solvers. J. Comput. Methods Phys. 297 (2015), 13–31.
Chourdakis, Gerasimos, et al. preCICE v2: a sustainable and user-friendly coupling library. Open Res. Eur., 2, 2022.
Groen, Derek, et al. Mastering the scales: a survey on the benefits of multiscale computing software. Philos. Trans. R. Soc. A, 377(2142), 2019, 20180147.
Chourdakis, Gerasimos, Schneider, David, Uekermann, Benjamin, OpenFOAM-preCICE: coupling OpenFOAM with external solvers for multi-physics simulations. OpenFOAM® J. 3 (2023), 1–25.
Uekermann, Benjamin, et al. Official preCICE adapters for standard open-source solvers. Proceedings of the 7th GACM Colloquium on Computational Mechanics for Young Scientists from Academia, 2017.
Yau, Lucia Cheung, Conjugate Heat Transfer with the Multiphysics Coupling Library preCICE. Master's thesis, 2016, Technical University of Munich.
OpenFOAM Foundation https://openfoam.org (first accessed: 2020).
Dhondt, Guido, The Finite Element Method for Three-Dimensional Thermomechanical Applications. 2004, John Wiley & Sons.
Calculix – a free software three-dimensional structural finite element program http://www.calculix.de/ (first accessed: 2020).
Baniasadi, Mehdi, Baniasadi, Maryam, Peters, Bernhard, Coupled CFD-DEM with heat and mass transfer to investigate the melting of a granular packed bed. Chem. Eng. Sci. 178 (2018), 136–145.
Hertz, Heinrich, Ueber die Berührung fester elastischer Körper., 1882.
Mindlin, Raymond David, Compliance of elastic bodies in contact., 1949.
Tsuji, Yutaka, Tanaka, Toshitsugu, Ishida, T., Lagrangian numerical simulation of plug flow of cohesionless particles in a horizontal pipe. Powder Technol. 71:3 (1992), 239–250.
Zhang, D., Whiten, W.J., The calculation of contact forces between particles using spring and damping models. Powder Technol. 88:1 (1996), 59–64.
Michael, Mark, Vogel, Frank, Peters, Bernhard, DEM–FEM coupling simulations of the interactions between a tire tread and granular terrain. Comput. Methods Appl. Mech. Eng. 289 (2015), 227–248.
Cundall, Peter A., Strack, Otto D.L., A discrete numerical model for granular assemblies. Geotechnique 29:1 (1979), 47–65.
Zienkiewicz, Olek C., Taylor, Robert L., Zhu, Jian Z., The Finite Element Method: Its Basis and Fundamentals. 2005, Elsevier.
Zienkiewicz, Olek C., Taylor, Robert L., The Finite Element Method for Solid and Structural Mechanics. 2005, Elsevier.
Holzapfel, Gerhard A., Nonlinear solid mechanics: a continuum approach for engineering science., 2002.
Bathe, Klaus-Jürgen, Finite element procedures., 2006 Klaus-Jurgen Bathe.
Zhao, Tao, Coupled DEM-CFD Analyses of Landslide-Induced Debris Flows. 2017, Springer.
Schiller, Links, A drag coefficient correlation. Z. Ver. Dtsch. Ing. 77 (1933), 318–320.
Du, Wei, et al. Computational fluid dynamics (CFD) modeling of spouted bed: assessment of drag coefficient correlations. Chem. Eng. Sci. 61:5 (2006), 1401–1420.
Richardson, J.F.T., Sedimentation and fluidization: part-1. Trans. Inst. Chem. Eng. 32 (1954), 35–53.
Gidaspow, Dimitri, Multiphase Flow and Fluidization: Continuum and Kinetic Theory Descriptions. 1994, Academic Press.
Ergun, Sabri, Orning, Ao Ao, Fluid flow through randomly packed columns and fluidized beds. Ind. Eng. Chem. 41:6 (1949), 1179–1184.
Wen, C.Y., Yu, Y.H., Mechanics of fluidization. Chem. Eng. Prog. Symp. Ser. 162 (1966), 100–111.
Di Felice, Renzo, Rotondi, Marco, Fluid-particle drag force in binary-solid suspensions. Int. J. Chem. React. Eng., 10(1), 2012.
Syamlal, Madhava, Rogers, William, OBrien, Thomas J., MFIX documentation theory guide. Tech. Rep., 1993, USDOE Morgantown Energy Technology Center (METC), WV (United States).
Sun, Jin, Battaglia, Francine, Subramaniam, Shankar, Hybrid two-fluid DEM simulation of gas-solid fluidized beds., 2007.
Arastoopour, Hamid, Numerical simulation and experimental analysis of gas/solid flow systems: 1999 Fluor-Daniel plenary lecture. Powder Technol. 119:2–3 (2001), 59–67.
Xiao, Heng, Sun, Jin, Algorithms in a robust hybrid CFD-DEM solver for particle-laden flows. Commun. Comput. Phys. 9:2 (2011), 297–323.
Idelchik, Isaak E., Handbook of Hydraulic Resistance. 1986 Washington.
Bird, R.B., Stewart, W.E., Lightfoot, E.N., Transport Phenomena. 2nd edn, 2007, John Wilwe & Sons, New York, NY.
preCICE Coupling Library official page www.precice.org (first accessed: 2020).
Mainassara Chekaraou, A.W., et al. Hybrid MPI+OpenMP implementation of eXtended discrete element method. 2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Sept. 2018, 450–457, 10.1109/CAHPC.2018.8645880.
Besseron, Xavier, et al. Toward high-performance multi-physics coupled simulations for the industry with XDEM. 1st Conference Math 2 Product (M2P) on Emerging Technologies in Computational Science for Industry, Sustainability and Innovation, 2023.
Chourdakis, Gerasimos, A general OpenFOAM adapter for the coupling library preCICE. MA thesis, Oct. 2017, Technical University of Munich https://www5.in.tum.de/pub/Chourdakis2017_Thesis.pdf.
Turek, Stefan, Hron, Jaroslav, Proposal for Numerical Benchmarking of Fluid-Structure Interaction Between an Elastic Object and Laminar Incompressible Flow. 2006, Springer.
Nakashima, H., Oida, A., Algorithm and implementation of soil–tire contact analysis code based on dynamic FE–DE method. J. Terramech. 41:2–3 (2004), 127–137.
Horner, David A., Peters, John F., Carrillo, Alex, Large scale discrete element modeling of vehicle-soil interaction. J. Eng. Mech. 127:10 (2001), 1027–1032.
Golshan, Shahab, et al. Review and implementation of CFD-DEM applied to chemical process systems. Chem. Eng. Sci., 221, 2020, 115646.
Schott, Benedikt, Ager, Christoph, Wall, Wolfgang A., Monolithic cut finite element–based approaches for fluid-structure interaction. Int. J. Numer. Methods Eng. 119:8 (2019), 757–796.
Adhav, Prasad, et al. AWJC nozzle simulation by 6-way coupling of DEM+ CFD+ FEM using preCICE coupling library., 2021.
Adhav, Prasad, Investigation of OpenFOAM-XDEM momentum coupling results for AWJC Nozzle using preCICE., 2023.
Prasad Adhav, et al., Development and Validation of Cfd-Dem Coupling Interface for Heat & Mass Transfer Using Partitioned Coupling Approach, Available at SSRN 4668107, 2023.