Academic literature on the topic 'Macroscopic simulation'
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Journal articles on the topic "Macroscopic simulation":
Friedland, Werner, Pavel Kundrát, Janine Becker, and Markus Eidemüller. "BIOPHYSICAL SIMULATION TOOL PARTRAC: MODELLING PROTON BEAMS AT THERAPY-RELEVANT ENERGIES." Radiation Protection Dosimetry 186, no. 2-3 (December 2019): 172–75. http://dx.doi.org/10.1093/rpd/ncz197.
Bruckner, Florian, Claas Abert, Christoph Vogler, Frank Heinrichs, Armin Satz, Udo Ausserlechner, Gernot Binder, Helmut Koeck, and Dieter Suess. "Macroscopic simulation of isotropic permanent magnets." Journal of Magnetism and Magnetic Materials 401 (March 2016): 875–79. http://dx.doi.org/10.1016/j.jmmm.2015.11.005.
Ardelea, Alexandre, Graham F. Carey, Anand Pardhanani, and Walter B. Richardson. "Simulation of macroscopic superconductivity for microelectronics." Physica C: Superconductivity 341-348 (November 2000): 2649–50. http://dx.doi.org/10.1016/s0921-4534(00)01436-2.
Helbing, D., and M. Treiber. "Numerical simulation of macroscopic traffic equations." Computing in Science & Engineering 1, no. 5 (1999): 89–98. http://dx.doi.org/10.1109/5992.790593.
Qu, Danqi, Affan Malik, and Hui-Chia Yu. "Physics-Based Simulation of Electrochemical Impedance Spectroscopy of Complex Electrode Microstructures." ECS Meeting Abstracts MA2022-02, no. 2 (October 9, 2022): 111. http://dx.doi.org/10.1149/ma2022-022111mtgabs.
Coveney, Peter V., and Shunzhou Wan. "On the calculation of equilibrium thermodynamic properties from molecular dynamics." Physical Chemistry Chemical Physics 18, no. 44 (2016): 30236–40. http://dx.doi.org/10.1039/c6cp02349e.
Yin, Derek, and Tony Z. Qiu. "Compatibility analysis of macroscopic and microscopic traffic simulation modeling." Canadian Journal of Civil Engineering 40, no. 7 (July 2013): 613–22. http://dx.doi.org/10.1139/cjce-2012-0104.
Linss, Sebastian, Dirk Michaelis, and Uwe D. Zeitner. "Macroscopic wave-optical simulation of dielectric metasurfaces." Optics Express 29, no. 7 (March 23, 2021): 10879. http://dx.doi.org/10.1364/oe.415529.
NANTHAWICHIT, Chumchoke, and Takashi NAKATSUJI. "PARAMETER ESTIMATION OF MACROSCOPIC TRAFFIC SIMULATION MODEL." INFRASTRUCTURE PLANNING REVIEW 18 (2001): 747–54. http://dx.doi.org/10.2208/journalip.18.747.
Schuhmann, R., B. Bandlow, G. Lubkowski, and T. Weiland. "Micro- and macroscopic simulation of periodic metamaterials." Advances in Radio Science 6 (May 26, 2008): 77–82. http://dx.doi.org/10.5194/ars-6-77-2008.
Dissertations / Theses on the topic "Macroscopic simulation":
Pauthenet, Martin. "Macroscopic model and numerical simulation of elastic canopy flows." Thesis, Toulouse, INPT, 2018. http://www.theses.fr/2018INPT0072/document.
We study the turbulent flow of a fluid over a canopy, that we model as a deformable porous medium. This porous medium is more precisely a carpet of fibres that bend under the hydrodynamic load, hence initiating a fluid-structure coupling at the scale of a fibre's height (honami). The objective of the thesis is to develop a macroscopic model of this fluid-structure interaction in order to perform numerical simulations of this process. The volume averaging method is implemented to describe the large scales of the flow and their interaction with the deformable porous medium. An hybrid approach is followed due to the non-local nature of the solid phase; While the large scales of the flow are described within an Eulerian frame by applying the method of volume averaging, a Lagrangian approach is proposed to describe the ensemble of fibres. The interface between the free-flow and the porous medium is handle with a One-Domain- Approach, which we justify with the theoretical development of a mass- and momentum- balance at the fluid/porous interface. This hybrid model is then implemented in a parallel code written in C$++$, based on a fluid- solver available from the \openfoam CFD toolbox. Some preliminary results show the ability of this approach to simulate a honami within a reasonable computational cost. Prior to implementing a macroscopic model, insight into the small-scale is required. Two specific aspects of the small-scale are therefore studied in details; The first development deals with the inertial deviation from Darcy's law. A geometrical parameter is proposed to describe the effect of inertia on Darcy's law, depending on the shape of the microstructure of the porous medium. This topological parameter is shown to efficiently characterize inertia effects on a diversity of tested microstructures. An asymptotic filtration law is then derived from the closure problem arising from the volume averaging method, proposing a new framework to understand the relationship between the effect of inertia on the macroscopic fluid-solid force and the topology of the microstructure of the porous medium. A second research axis is then investigated. As we deal with a deformable porous medium, we study the effect of the pore-scale fluid-structure interaction on the filtration law as the flow within the pores is unsteady, inducing time-dependent fluidstresses on the solid- phase. For that purpose, we implement pore-scale numerical simulations of unsteady flows within deformable pores, focusing for this preliminary study on a model porous medium. Owing to the large displacements of the solid phase, an immersed boundary approach is implemented. Two different numerical methods are compared to apply the no-slip condition at the fluid-solid interface: a diffuse interface approach and a sharp interface approach. The objective is to find the proper method to afford acceptable computational time and a good reliability of the results. The comparison allows a cross-validation of the numerical results, as the two methods compare well for our cases. This numerical campaign shows that the pore-scale deformation has a significant impact on the pressure drop at the macroscopic scale. Some fundamental issues are then discussed, such as the size of a representative computational domain or the form of macroscopic equations to describe the momentum transport within a soft deformable porous medium
Nagarajan, Ramakrishnan. "Micro-macroscopic modeling and simulation of an Automated Highway System." Thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-10022008-063143/.
Zhou, Yi. "The macroscopic fundamental diagram in urban network: analytical theory and simulation." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49111.
De, Nicola Carmine. "Simulation and optimization of supply chains and networks using a macroscopic approach." Doctoral thesis, Universita degli studi di Salerno, 2011. http://hdl.handle.net/10556/172.
The aim of thesis is to present some macroscopic models for supply chains and networks able to reproduce the goods dynamics, successively to show, via simulations, some phenomena appearing in planning and managing such systems and, nally, to deal with optimization problems. Depending on the observation scale supply networks modeling is charac- terized by di¤erent mathematical approaches: discrete event simulations and continuous models. Since discrete event models (Daganzo 2003) are based on considerations of individual parts, their main drawback is, however, an enor- mous computational e¤ort. Then a cost-e¤ective alternative to them is continu- ous models, described by some partial di¤erential equation. The rst proposed continuous models date back to the early 60 s and started with the work of Baumol (1970) and Forrester (1964), but the most signi cant in this direction was Daganzo (1997), where the authors, via a limit procedure on the number of parts and suppliers, have obtained a conservation law (Armbruster-Marthaler- Ringhofer 2004, Dafermos 1999), whose ux involves either the parts density or the maximal productive capacity. Then, in recent years continuous and homogenous product ow models have been introduced and they have been built in close connection to other transport problems like vehicular tra¢ c ow and queuing theory. Extensions on networks have been also treated. In this work, starting by the historical model of Armbruster - Degond - Ringhofer, we have compared two di¤erent macroscopic models, i.e. the Klar model, based on a di¤erential partial equation for density and an ordinary dif- ferential equation to capture the evolution of queues, and a continuum-discrete model, formed by a conservation law for the density and an evolution equa- tion for processing rate. Both the models can be applied for supply chains and networks. Moreover, an optimization problem of sequential supply chains modeled by the Klar approach has been treated. The aim is to nd the con guration of pro- duction according to the supply demand minimizing the queues length, i.e. the costs of inventory, and obtaining an expected pre-assigned out ow. The control problem is solved introducing and minimizing a cost functional which takes into account the nal ux of production and the queues representing the stores. The functional is not linear, so to nd its minimum, the vectors tangent method is introduced. This technique is based on the choice of an input ow which is a piecewise constant function, with a nite number of discontinuities. Considering on each of them an in nitesimal displacement which generates traveling tempo- ral shifts on processors and shifts on queues, we are able to compute numerically the value of the variation of functional respect to each discontinuities. Finally, we use the steepest-descent algorithm to nd, via simulations, the optimal con- guration of input ow, according to the pre- xed desired production. [edited by the author]
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Bart, Graeme. "Bridging the Microscopic and Macroscopic Realms of Laser Driven Plasma Dynamics." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/38187.
Mollier, Stéphane. "Two-dimensional macroscopic models for large scale traffic networks." Thesis, Université Grenoble Alpes, 2020. http://www.theses.fr/2020GRALT005.
Congestion in traffic networks is a common issue in big cities and has considerable economic and environmental impacts. Traffic policies and real-time network management can reduce congestion using prediction of dynamical modeling. Initially, researchers studied traffic flow on a single road and then, they extended it to a network of roads. However, large-scale networks present challenges in terms of computation time and parameters' calibration. This led the researchers to focus on aggregated models and to look for a good balance between accuracy and practicality.One of the approaches describes traffic evolution with a continuous partial differential equation on a 2D-plane. Vehicles are represented by a two-dimensional density and their propagation is described by the flow direction. The thesis aims to develop these models and devises methods for their calibration and their validation. The contributions follow three extensions of the model.First, a simple model in two-dimensional space to describe a homogeneous network with a preferred direction of flow propagation is considered. A homogeneous network has the same speed limits and a similar concentration of roads everywhere. A method for validation using GPS probes from microsimulation is provided. Then, a space-dependent extension to describe a heterogeneous network with a preferred direction of flow propagation is presented. A heterogeneous network has different speed limits and a variable concentration of roads. Such networks are of interest because they can show how bottleneck affects traffic dynamics. Finally, the case of multiple directions of flow is considered using multiple layers of density, each layer representing a different flow direction. Due to the interaction between layers, these models are not always hyperbolic which can impact their stability
Schurig, Michael. "The Vertex effect in polycrystalline materials simulation, a macroscopic model, and structural application /." [S.l.] : [s.n.], 2006. http://diglib.uni-magdeburg.de/Dissertationen/2006/micschurig.htm.
Dietrich, Sascha, H. Schulz, K. Hauch, K. Schladitz, M. Godehardt, J. Orlik, and D. Neusius. "3D Image Based Structural Analysis of Leather for Macroscopic Structure- Property Simulation - 226." Verein für Gerberei-Chemie und -Technik e. V, 2019. https://slub.qucosa.de/id/qucosa%3A34193.
Reynolds, William Leonard. "Sustainable Service Rate Analysis at Signalized Intersections with Short Left Turn Pockets Using Macroscopic Simulation." NCSU, 2010. http://www.lib.ncsu.edu/theses/available/etd-03302010-171706/.
Hildebrand, Cisilia, and Stina Hörtin. "A comparative study between Emme and Visum with respect to public transport assignment." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-112783.
Books on the topic "Macroscopic simulation":
Mora, Peter, Mitsuhiro Matsu’ura, Raul Madariaga, and Jean-Bernard Minster, eds. Microscopic and Macroscopic Simulation: Towards Predictive Modelling of the Earthquake Process. Basel: Birkhäuser Basel, 2001. http://dx.doi.org/10.1007/978-3-0348-7695-7.
National Research Council. Transportation Research Board., ed. Traffic flow theory: Simulation models, macroscopic flow relationships, and flow estimation and prediction. Washington, DC: National Academy Press, 1998.
Satdarova, Faina. DIFFRACTION ANALYSIS OF DEFORMED METALS: Theory, Methods, Programs. xxu: Academus Publishing, 2019. http://dx.doi.org/10.31519/monography_1598.
Hoover, William G., and Carol Griswold Hoover. Microscopic and Macroscopic Simulation Techniques: Kharagpur Lectures. World Scientific Publishing Co Pte Ltd, 2018.
Boudreau, Joseph F., and Eric S. Swanson. Simulation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0015.
Computer simulation in materials science: Nano/meso/macroscopic space & time scales. Dordrecht: Kluwer Academic Publishers, 1996.
Mora, Peter, Mitsuhiro Matsu'ura, Raul Madariaga, and Jean-Bernard Minster. Microscopic and Macroscopic Simulation: Towards Predictive Modelling of the Earthquake Process. Birkhauser Verlag, 2013.
Kubin, Ladislas P., Vassilis Pontikis, and H. O. Kirchner. Computer Simulation in Materials Science: Nano / Meso / Macroscopic Space & Time Scales. Springer, 2011.
(Editor), Peter Mora, Mitsuhiro Matsu'ura (Editor), Raul Madariaga (Editor), and Jean-Bernard Minster (Editor), eds. Microscopic and Macroscopic Simulation: Towards Predictive Modelling of the Earthquake Process (Pageoph Topical Volumes). Birkhauser, 2001.
(Editor), H. O. Kirchner, Ladislas P. Kubin (Editor), and V. Pontikis (Editor), eds. Computer Simulation in Materials Science : Nano/Meso/Macroscopic Space & Time Scales (NATO Asi Series. Series E, Applied Sciences, No 308) (NATO Science Series E: (closed)). Springer, 2007.
Book chapters on the topic "Macroscopic simulation":
Liao, Shijun. "On the Origin of Macroscopic Randomness." In Clean Numerical Simulation, 57–74. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003299622-4.
Bungartz, Hans-Joachim, Stefan Zimmer, Martin Buchholz, and Dirk Pflüger. "Macroscopic Simulation of Road Traffic." In Springer Undergraduate Texts in Mathematics and Technology, 149–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39524-6_7.
Yu, Zhiping, Robert W. Dutton, Danie W. Yergeau, and Mario G. Ancona. "Macroscopic Quantum Carrier Transport Modeling." In Simulation of Semiconductor Processes and Devices 2001, 1–9. Vienna: Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-6244-6_1.
Pietschmann, Jan-Frederik. "Connection Between Microscopic and Macroscopic Models." In Modeling, Simulation and Visual Analysis of Crowds, 43–65. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8483-7_3.
Cervenka, Johann, Robert Kosik, Markus Jech, Martin Vasicek, Markus Gritsch, Siegfried Selberherr, and Tibor Grasser. "Macroscopic Transport Models for Classical Device Simulation." In Springer Handbook of Semiconductor Devices, 1335–81. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79827-7_37.
Kurihara, Takayuki. "Numerical Simulation of the Macroscopic Domain Formation." In Observation and Control of Magnetic Order Dynamics by Terahertz Magnetic Nearfield, 85–102. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-8793-8_5.
Pigorsch, Carsten, Roland Stenzel, and Wilfried Klix. "Coupled 2D-microscopic/macroscopic simulation of nanoelectronic heterojunction devices." In Simulation of Semiconductor Devices and Processes, 230–33. Vienna: Springer Vienna, 1995. http://dx.doi.org/10.1007/978-3-7091-6619-2_55.
Mahato, Naveen Kumar, Axel Klar, and Sudarshan Tiwari. "Modeling and Simulation of Macroscopic Pedestrian Flow Models." In Progress in Industrial Mathematics at ECMI 2018, 437–44. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27550-1_55.
Gehling, M. Große, and H. Vehoff. "Simulation of the Stability of Microcracks in Macroscopic Structures." In Microstructures, Mechanical Properties and Processes - Computer Simulation and Modelling, 202–8. Weinheim, FRG: Wiley-VCH Verlag GmbH & Co. KGaA, 2005. http://dx.doi.org/10.1002/3527606157.ch32.
Uhlmann, E., R. Mahnken, I. M. Ivanov, and C. Cheng. "Thermo-Mechanical Simulation of Hard Turning with Macroscopic Models." In Lecture Notes in Production Engineering, 95–132. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57120-1_7.
Conference papers on the topic "Macroscopic simulation":
Drees, Jan Peter, Lukas Stratmann, Fabian Bronner, Max Bartunik, Jens Kirchner, Harald Unterweger, and Falko Dressler. "Efficient simulation of macroscopic molecular communication." In NANOCOM '20: The Seventh Annual ACM International Conference on Nanoscale Computing and Communication. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3411295.3411297.
Caldas, Ines, Joao Moreira, Jose Rebelo, and Rosaldo J. F. Rossetti. "Exploring Visualization Metaphors in Macroscopic Traffic Simulation." In 2018 IEEE International Smart Cities Conference (ISC2). IEEE, 2018. http://dx.doi.org/10.1109/isc2.2018.8656950.
García, María, and Carlos Hernández. "Development Of Rapid Macroscopic Traffic Simulation Models." In 2nd South American Conference on Industrial Engineering and Operations Management. Michigan, USA: IEOM Society International, 2021. http://dx.doi.org/10.46254/sa02.20210708.
"Macroscopic Simulation of Multi-axis Machining Processes." In 10th International Conference on Informatics in Control, Automation and Robotics. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004631905050516.
Jan, Hüper,. "Macroscopic Modeling and Simulation of Freeway Traffic Flow." In Control in Transportation Systems, edited by Chassiakos, Anastasios, Chair De Schutter, and Ioannou, Petros. Elsevier, 2009. http://dx.doi.org/10.3182/20090902-3-us-2007.00018.
Gomes, Gabriel, Juliette Ugirumurera, and Xiaoye S. Li. "Distributed macroscopic traffic simulation with Open Traffic Models." In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2020. http://dx.doi.org/10.1109/itsc45102.2020.9294316.
Delis, Anargiros I., Ioannis K. Nikolos, and Markos Papageorgiou. "Macroscopic Modelling and Simulation of Multi-lane Traffic." In 2015 IEEE 18th International Conference on Intelligent Transportation Systems - (ITSC 2015). IEEE, 2015. http://dx.doi.org/10.1109/itsc.2015.357.
Guo, Ruochen, Marley Becerra, and Junhao Li. "Macroscopic Simulation of Streamer Development in Mineral Oil." In 2022 IEEE 21st International Conference on Dielectric Liquids (ICDL). IEEE, 2022. http://dx.doi.org/10.1109/icdl49583.2022.9830930.
Scala, Paolo, Miguel Mujica, Daniel Delahaye, and Ji Ma. "A Generic Framework for Modeling Airport Operations At A Macroscopic Level." In 2019 Winter Simulation Conference (WSC). IEEE, 2019. http://dx.doi.org/10.1109/wsc40007.2019.9004865.
Ancona, M. G., and A. Svizhenko. "Physics of tunneling from a macroscopic perspective." In 2008 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD 2008). IEEE, 2008. http://dx.doi.org/10.1109/sispad.2008.4648312.
Reports on the topic "Macroscopic simulation":
Peter J. Mucha. Final Report: Model interacting particle systems for simulation and macroscopic description of particulate suspensions. Office of Scientific and Technical Information (OSTI), August 2007. http://dx.doi.org/10.2172/939459.
Oliynyk, Kateryna, and Matteo Ciantia. Application of a finite deformation multiplicative plasticity model with non-local hardening to the simulation of CPTu tests in a structured soil. University of Dundee, December 2021. http://dx.doi.org/10.20933/100001230.
Scudder, Jack. Final Scientific/Technical Report for "Role of Electron Kinetic Effects on the Macroscopic Structure and Evolution of Collisionless Reconnection in Simulations with Open Boundary Conditions". Office of Scientific and Technical Information (OSTI), February 2011. http://dx.doi.org/10.2172/1004611.
Zhang, Renduo, and David Russo. Scale-dependency and spatial variability of soil hydraulic properties. United States Department of Agriculture, November 2004. http://dx.doi.org/10.32747/2004.7587220.bard.