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Статті в журналах з теми "Discrete numerical modelling (DEM)":
Braile, Domenica, Colin Hare, and Chuan-Yu Wu. "DEM modelling of swelling of grains." EPJ Web of Conferences 249 (2021): 14011. http://dx.doi.org/10.1051/epjconf/202124914011.
Jasevičius, Raimondas. "Numerical Modelling of Erythrocyte Sticking Mechanics." Applied Sciences 12, no. 24 (December 8, 2022): 12576. http://dx.doi.org/10.3390/app122412576.
Guadagnin Moravia, Marcus, Pascal Villard, and Delma De Mattos Vidal. "Geogrid pull-out modelling using DEM." E3S Web of Conferences 92 (2019): 13015. http://dx.doi.org/10.1051/e3sconf/20199213015.
Jasevičius, R., and R. Kačianauskas. "Modelling deformable boundary by spherical particle for normal contact." Mechanics 68, no. 6 (April 4, 2024): 5–13. http://dx.doi.org/10.5755/j02.mech.36219.
Liu, Wenwei, and Chuan-Yu Wu. "Modelling Complex Particle–Fluid Flow with a Discrete Element Method Coupled with Lattice Boltzmann Methods (DEM-LBM)." ChemEngineering 4, no. 4 (October 7, 2020): 55. http://dx.doi.org/10.3390/chemengineering4040055.
Gholaminejad, Ahmadreza, Ahmad Mahboubi, and Ali Noorzad. "Combined DEM-FDM modelling of encased stone column." E3S Web of Conferences 92 (2019): 16012. http://dx.doi.org/10.1051/e3sconf/20199216012.
Tan, Xin, Zhengbo Hu, Wengui Li, Suhua Zhou, and Tenglong Li. "Micromechanical Numerical Modelling on Compressive Failure of Recycled Concrete using Discrete Element Method (DEM)." Materials 13, no. 19 (September 29, 2020): 4329. http://dx.doi.org/10.3390/ma13194329.
Huang, Xiao, Siyuan Li, Jionghao Jin, and Chong Shi. "Determining Digital Representation and Representative Elementary Volume Size of Broken Rock Mass Using the Discrete Fracture Network–Discrete Element Method Coupling Technique." Applied Sciences 14, no. 2 (January 10, 2024): 606. http://dx.doi.org/10.3390/app14020606.
Liu, Cong, Kang Wang, and Shen Zhou. "Non-spherical Particle Modelling Approach in Discrete Element Method and its Validations." Journal of Physics: Conference Series 2620, no. 1 (October 1, 2023): 012004. http://dx.doi.org/10.1088/1742-6596/2620/1/012004.
Knak, Magdalena, Michał Nitka, Erwin Wojtczak, and Magdalena Rucka. "Modelling of Longitudinal Elastic Wave Propagation in a Steel Rod Using the Discrete Element Method." Materials 15, no. 8 (April 8, 2022): 2738. http://dx.doi.org/10.3390/ma15082738.
Дисертації з теми "Discrete numerical modelling (DEM)":
Ochoa, Roman Jacqueline Vanessa. "Shaking table tests and DEM numerical modelling of a 3D-printed groin vault." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.
Sundström, Anton. "Numerical modelling for characterization of the granular flows impact on the gas flow in a packed-bed-reactor." Thesis, Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-79538.
Polwaththe, Gallage Hasitha Nayanajith. "Numerical modelling of deformation behaviour of red blood cells in microvessels using the coupled SPH-DEM method." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/91719/1/Hasitha%20Nayanajith_Polwaththe%20Gallage_Thesis.pdf.
Al, Tfaily Bilal. "Capacité prévisionnelle de la modélisation discrète pour application aux ouvrages géotechniques complexes." Electronic Thesis or Diss., Université Grenoble Alpes, 2023. http://www.theses.fr/2023GRALI077.
Geotechnical engineering is a crucial field in the design and construction of foundations, embankments, tunnels, and other structures interacting with soil and rock. However, the description of the elastoplastic response of soil, with preponderant non-linear and non-reversible deformations together with a non-associative flow rule, is complex. The difficulty is even higher in the case of non-monotonous loading paths where phenomenological constitutive relations require ad-hoc history parameters and advanced experimental tests for their calibration.Discrete element method has been proved to be an effective method in predicting quantitatively the constitutive response of soils, even in the case of complex loadings (with rotation of principal stress directions, or loading/unloading cycles) where conventional elastoplastic constitutive relations may fail to simulate realistic responses. For granular soils with a narrow grading, a direct representation of soil grains by polyhedral particles or with the level set method is possible, whereas for finer soils, or soils with a wider grading, alternative solutions should be considered. Spherical particles with enriched contact laws (e.g. by introducing rolling resistance at the contact) or rather simplified clumps of spheres can be used to keep the model relatively light to tackle further boundary value problems with limited computational cost. However, even if the models provide satisfying results for direct shear tests or drained triaxial compression loading paths compared to experimental measurements, their validation with respect to more complex loading paths as the isochoric compression or the path at constant stress deviator still present difficulties, in particular for initially loose granular assemblies.First, this study aims to compare such different approaches in terms of the prediction abilities at the macroscopic scale of the constitutive responses of soils, particularly for complex loading paths. Two kinds of discrete models are considered: (i) spherical particles with rolling resistance, (ii) simple clumps made of 2 to 6 spheres. The models are calibrated from two drained triaxial compressions on dense and loose Hostun sand. They are then assessed, according to the macroscopic response, on loading paths significantly different from the calibration loading paths (isochoric compressions, circular stress paths in the deviatoric plane, constant deviatoric stress path, etc.).Then, we investigate the importance of the description of the anisotropy of the initial fabric and of the inter-particle friction law in the simulated responses of loose granular assembly to different kinds of loading paths. It shows how the combination of both can modify importantly the simulated responses to some kinds of loading paths. This investigation is carried out for a numerical discrete model made of spheres by comparison with experimental results on sand.Finally, the model is used to simulate the nonlinear interaction between a shallow foundation of building structure and the supporting soil during strong seismic loadings, as tested experimentally for the TRISEE project with a full scale physical model. An adaptative discretization technique is implemented to limit the number of particles in such a boundary value problem and make the computation possible with a conventional desktop computer. Numerical results are benchmarked against experimental measurements from the TRISEE project, and FEM numerical simulations or macro-element models
Kuruneru, Sahan Trushad Wickramasooriya. "A coupled finite-volume & discrete-element method to investigate particle-laden gas flows and particle deposition in metal foam heat exchangers." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/125485/1/Sahan_Kuruneru_Thesis.pdf.
Javaid, Mehshan. "Numerical modelling of one-dimensional discrete source detonation." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=95251.
La détonation est une branche de la combustion qui est initiée par une réaction chimique exothermique duquel en résulte une onde de choc supersonique appelé «Detonation Wave". Généralement la détonation se produit dans une réaction homogène gazeuse, liquide ou solide. Mais parfois, la détonation est également observée en un milieu hautement non-uniforme qui contient des sources detonable (réaction gazeux, liquide ou solide ) dans un motif discret. Ce projet se concentre sur l'étude des effets des sources d'énergie discrets sur la vitesse de l'onde de détonation à l'aide de la modélisation numérique et des simulations. La libération d'énergie à la suite de la détonation est continue pour un mélange homogène de gaz et aboutit généralement à une vélocité de détonation appelé Chapman Jouguet (CJ). Toutefois, en présence de sources d'énergie distinctes, la vitesse de détonation sort d'être supérieure à la vitesse de détonation CJ observée théorique par A. Higgins (Proc. 20th ICDERS, Montréal, 2005). Ce projet vise à trouver des solutions numériques pour les systèmes de détonation très discrète afin de vérifier l'existance des résultats théoriques pour les systèmes de détonation discrets. Pour le calcul de vitesses des ondes de détonation pour les moyennes avec des sources discrètes, l'analyse numérique a été réalisée sur une maison d'une dimension de code Euler. Ces modifications du code ont été apportées à des fins de détonation continue . D'abord pour vérifier la vitesse de détonation CJ exacte dans lc code, puis à un stade ultérieur, d'autres modifications ont été apportées au code utiliser pour le phénomène de détonation discrets. Afin de pouvoir utiliser la maison en code numérique pour résoudre les problèmes d'écoulement supersoniques, le système continue de détonation a été modélisé et les résultats obtenus ont été de 0,05% de différence par rapport à la vitesse exacte d
Ngoma, Jeff. "Etude numérique et expérimentale de la déstabilisation des milieux granulaires immergés par fluidisation." Thesis, Aix-Marseille, 2015. http://www.theses.fr/2015AIXM4712/document.
The subject of this thesis is the numerical analysis and experimental investigation of the destabilization of submerged granular media caused by fluidization. This hydromechanical instability is one of the mechanisms that may trigger the regressive erosion, which is one of the main degradation phenomena driving the internal erosion of earthen hydraulic constructions. Such erosion mechanisms can only be understood through a rigorous description of the coupling and interaction between the eroding fluid and the soil particles. For this purpose, a 2D model has been used coupling two different numerical techniques, namely the discrete element method (DEM) for modelling the mechanical behaviour of the solid phase and the Lattice Boltzmann method (LBM) for the fluid phase. The experimental validation of this numerical 2D simulation has been carried out using two optical techniques for the internal visualization of a granular sample, namely the adjustment of the refraction index of the two phases and the laser-induced fluorescence
Brown, Nicholas John. "Discrete element modelling of cementitious materials." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/8011.
Durrani, Imran K. "Numerical modelling of discrete pile rows to stabilise slopes." Thesis, University of Nottingham, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.438556.
Wessling, Albin. "Towards Discrete Element Modelling of Rock Drilling." Licentiate thesis, Luleå tekniska universitet, Material- och solidmekanik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-83911.
Книги з теми "Discrete numerical modelling (DEM)":
Portela, A. Finite elements using Maple: A symbolic programming approach. Berlin: Springer, 2002.
Konietzky, Heinz, ed. Numerical Modelling of Discrete Materials in Geotechnical Engineering, Civil Engineering and Earth Sciences. CRC Press, 2004. http://dx.doi.org/10.1201/9780203023983.
Konietzky, Heinz. Numerical Modelling of Discrete Materials in Geotechnical Engineering, Civil Engineering and Earth Sciences: Proceedings of the First International UDEC/3DEC Symposium, Bochum, Germany, 29 September - 1 October 2004. Taylor & Francis Group, 2004.
Konietzky, Heinz. Numerical Modelling of Discrete Materials in Geotechnical Engineering, Civil Engineering and Earth Sciences: Proceedings of the First International UDEC/3DEC Symposium, Bochum, Germany, 29 September - 1 October 2004. Taylor & Francis Group, 2004.
Konietzky, Heinz. Numerical Modelling of Discrete Materials in Geotechnical Engineering, Civil Engineering and Earth Sciences: Proceedings of the First International UDEC/3DEC Symposium, Bochum, Germany, 29 September - 1 October 2004. Taylor & Francis Group, 2004.
Konietzky, Heinz. Numerical Modelling of Discrete Materials in Geotechnical Engineering, Civil Engineering and Earth Sciences: Proceedings of the First International UDEC/3DEC Symposium, Bochum, Germany, 29 September - 1 October 2004. Taylor & Francis Group, 2004.
Konietzky, Heinz. Numerical Modelling of Discrete Materials in Geotechnical Engineering, Civil Engineering and Earth Sciences: Proceedings of the First International UDEC/3DEC Symposium, Bochum, Germany, 29 September - 1 October 2004. Taylor & Francis Group, 2014.
Charafi, A., and Artur Portela. Finite Elements Using Maple: A Symbolic Programming Approach (Engineering Online Library). Springer, 2003.
Charafi, A., and Artur Portela. Finite Elements Using Maple: A Symbolic Programming Approach. Springer, 2011.
Eimanis, Mārcis. Usage of Double-Helical Propulsion Principle in Underwater Vehicles. RTU Press, 2022. http://dx.doi.org/10.7250/9789934227370.
Частини книг з теми "Discrete numerical modelling (DEM)":
Yoshioka, Keita, Mathias Nest, Daniel Pötschke, Amir Shoarian Sattari, Patrick Schmidt, and David Krach. "Numerical Platform." In GeomInt–Mechanical Integrity of Host Rocks, 63–95. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61909-1_3.
Fox, William P., and Richard D. West. "Modelling with Discrete Dynamical Systems and Modelling Systems of Discrete Dynamical Systems." In Numerical Methods and Analysis with Mathematical Modelling, 35–83. Boca Raton: Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781032703671-3.
Korotov, Sergey, and Michal Křížek. "Discrete Maximum Principles in Finite Element Modelling." In Numerical Mathematics and Advanced Applications, 580–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18775-9_55.
Brookes, C. L., and S. Mehrkar-Asl. "Numerical modelling of masonry using discrete elements." In Seismic Design Practice into the Next Century, 131–37. London: Routledge, 2022. http://dx.doi.org/10.1201/9780203740026-18.
Brookes, C. L., and S. Mehrkar-Asl. "Numerical modelling of masonry using discrete elements." In Seismic Design Practice into the Next Century, 131–37. London: Routledge, 2022. http://dx.doi.org/10.1201/9780203740026-18.
Perdang, J. "Discrete Map Simulation of Stellar Oscillations." In The Numerical Modelling of Nonlinear Stellar Pulsations, 333–59. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0519-1_21.
Diakite, Ibrahim, and Benito M. Chen-Charpentier. "Effects of a Discrete Time Delay on an HIV Pandemic." In Analysis, Modelling, Optimization, and Numerical Techniques, 57–73. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12583-1_4.
Indraratna, Buddhima, Cholachat Rujikiatkamjorn, and Wadud Salim. "Discrete element modelling (DEM) of ballast densification and breakage." In Advanced Rail Geotechnology – Ballasted Track, 291–317. 2nd ed. London: CRC Press, 2023. http://dx.doi.org/10.1201/9781003278979-11.
Zhao, Tian-Xiong, and Xia Li. "Numerical Investigation on Sediment Bed Erosion Based on CFD-DEM." In Dam Breach Modelling and Risk Disposal, 274–79. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46351-9_28.
Zhou, Wan-Huan, and Zhen-Yu Yin. "Shear Banding in 2D Numerical Interface Tests." In Practice of Discrete Element Method in Soil-Structure Interface Modelling, 25–52. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0047-1_2.
Тези доповідей конференцій з теми "Discrete numerical modelling (DEM)":
Liu, Lei, Eleanor Bailey, Rocky Taylor, and Tony King. "Numerical Modelling of Ice Rubble Interactions Using Discrete Element Method." In ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/omae2021-62818.
Mathe, N. L., M. Ferentinou, and K. Esmaeili. "Use of Stochastic DFN-DEM Modelling for Overall and Inter-Ramp Slope Stability Analysis." In 3rd International Discrete Fracture Network Engineering Conference. ARMA, 2022. http://dx.doi.org/10.56952/arma-dfne-22-0047.
Ciantia, Matteo. "Continuum (PFEM) and discrete (DEM) modelling of pile installation in rocks." In UK Association for Computational Mechanics Conference 2024. Durham University, 2024. http://dx.doi.org/10.62512/conf.ukacm2024.001.
Maramizonouz, Sadaf, and Sadegh Nadimi. "Accounting for Particle Morphology in CFD-DEM Modelling." In UK Association for Computational Mechanics Conference 2024. Durham University, 2024. http://dx.doi.org/10.62512/conf.ukacm2024.074.
Dai, Jie, and Heather Peng. "Discrete Element Modelling of Pack Ice Interaction With Floating Structures." In ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-41916.
Alihosseini, Maryam, and Paul Uwe Thamsen. "Experimental and Numerical Investigation of Sediment Transport in Sewers." In ASME 2018 5th Joint US-European Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/fedsm2018-83274.
Wrenger, Hendrik, Bruno Sainte-Rose, Christoph Goniva, and Renan Hilbert. "Plastic Accumulation in Front of a Plate in Cross Flow: Model Scale Test and CFD-DEM Modelling." In ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/omae2019-96095.
Schiavoni, M. "Some recent advances and applications in Distinct Element modelling of masonry structures." In AIMETA 2022. Materials Research Forum LLC, 2023. http://dx.doi.org/10.21741/9781644902431-51.
Fredj, Abdelfettah, Aaron Dinovitzer, Amir Hassannejadasl, Richard Gailing, and Millan Sen. "Application of the Discrete Element Method (DEM) to Evaluate Pipeline Response to Slope Movement." In 2016 11th International Pipeline Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/ipc2016-64508.
Kumar, Sourav, Ritvik Babbar, Rohan Pattankar, Nithin Venkatarama, Srinivasa Yenugu, and Ravi Duggirala. "Numerical Modelling of Stone Lofting by a Treaded Tyre." In Symposium on International Automotive Technology. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2024. http://dx.doi.org/10.4271/2024-26-0270.
Звіти організацій з теми "Discrete numerical modelling (DEM)":
Zheng, Jinhui, Matteo Ciantia, and Jonathan Knappett. On the efficiency of coupled discrete-continuum modelling analyses of cemented materials. University of Dundee, December 2021. http://dx.doi.org/10.20933/100001236.
Wang, Wei, Michael Brown, Matteo Ciantia, and Yaseen Sharif. DEM simulation of cyclic tests on an offshore screw pile for floating wind. University of Dundee, December 2021. http://dx.doi.org/10.20933/100001231.
Tan, Peng, and Nicholas Sitar. Parallel Level-Set DEM (LS-DEM) Development and Application to the Study of Deformation and Flow of Granular Media. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, March 2023. http://dx.doi.org/10.55461/kmiz5819.
A SIMPLE METHOD FOR A RELIABLE MODELLING OF THE NONLINEAR BEHAVIOUR OF BOLTED CONNECTIONS IN STEEL LATTICE TOWERS. The Hong Kong Institute of Steel Construction, March 2022. http://dx.doi.org/10.18057/ijasc.2022.18.1.6.