Journal articles: 'Physical modeling and simulation'

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Kebch, A. El, N. Dlimi, D. Saifaoui, A. Dezairi, and M. El Mouden. "Modeling and simulation of physical sputtering." Molecular Crystals and Liquid Crystals 627, no. 1 (March 3, 2016): 183–89. http://dx.doi.org/10.1080/15421406.2015.1137676.

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Wang, Haosheng, and Hongen Zhong. "Modeling and Simulation of Spacecraft Power System Based on Modelica." E3S Web of Conferences 233 (2021): 04033. http://dx.doi.org/10.1051/e3sconf/202123304033.

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Spacecraft power system simulation involves the coupling of electrical, thermal and control domains. At present, the modeling and simulation of multi-domain physical system mainly uses the single-domain software to establish a single-domain model, and solves the unified multi-domain modeling and simulation through the interface between the software or using HLA. But it cannot fully support the modeling and simulation of multi-domain physical system, and the model has poor reusability and extensibility. As a multi-domain modeling language, Modelica language supports acausal modelling, unified multi-domain modeling, object-oriented physical modeling and hybrid modeling. So it is widely used in the aerospace area. In this paper, Modelica language is used to establish module library of spacecraft power system on simulation platform MWorks, and the multi-domain simulation model of spacecraft power system is obtained by assembling each sub-model, and the performance of the model is simulated and analyzed so as to achieve the purpose of improving and verifying the model.

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Bora, Tanujjal, Adrien Dousse, Kunal Sharma, Kaushik Sarma, Alexander Baev, G. Louis Hornyak, and Guatam Dasgupta. "Modeling nanomaterial physical properties: theory and simulation." International Journal of Smart and Nano Materials 10, no. 2 (November 3, 2018): 116–43. http://dx.doi.org/10.1080/19475411.2018.1541935.

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Thompson, Bradley, and Hwan-Sik Yoon. "Internal Combustion Engine Modeling Framework in Simulink: Gas Dynamics Modeling." Modelling and Simulation in Engineering 2020 (September 3, 2020): 1–16. http://dx.doi.org/10.1155/2020/6787408.

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With advancements in computer-aided design, simulation of internal combustion engines has become a vital tool for product development and design innovation. Among the simulation software packages currently available, MATLAB/Simulink is widely used for automotive system simulations, but does not contain a comprehensive engine modeling toolbox. To leverage MATLAB/Simulink’s capabilities, a Simulink-based 1D flow engine modeling framework has been developed. The framework allows engine component blocks to be connected in a physically representative manner in the Simulink environment, reducing model build time. Each component block, derived from physical laws, interacts with other blocks according to block connection. In this Part 1 of series papers, a comprehensive gas dynamics model is presented and integrated in the engine modeling framework based on MATLAB/Simulink. Then, the gas dynamics model is validated with commercial engine simulation software by conducting a simple 1D flow simulation.

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Zhou, Hao, Mengyao Zhao, Linbo Wu, and Xiaohong Chen. "Simulating Timing Behaviors for Cyber-Physical Systems Using Modelica." International Journal of Software Science and Computational Intelligence 11, no. 3 (July 2019): 44–67. http://dx.doi.org/10.4018/ijssci.2019070103.

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Cyber-physical systems (CPSs) connect the cyber world with the physical world through a network of interrelated elements, such as sensors and actuators, robots, and other computing devices. Timing constraints on the interactions (timing behaviors) should be modelled and verified as cyber-physical systems are becoming more and more complex. This article proposes modeling the typical timing behaviors according to their time characteristics, periodicity, multiform time, and synchronization, and verifies them against properties using simulations. Sequence diagrams are presented for the modeling, and modelica is used for simulation. In the simulation, the time dependence relations are defined, and used for simulation parameter data automatic generation, in addition to the paths from the sequence diagrams. Finally, a Parachute System is used as an example to show the feasibility and effectiveness of the approach.

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Lee, Chun-Woo, Ju-Hee Lee, Bong-Jin Cha, Hyun-Young Kim, and Ji-Hoon Lee. "Physical modeling for underwater flexible systems dynamic simulation." Ocean Engineering 32, no. 3-4 (March 2005): 331–47. http://dx.doi.org/10.1016/j.oceaneng.2004.08.007.

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Formigoni, A., E. F. Rodrigues, J. R. Maiellaro, L. T. Kawamoto Junior, M. A. Cipriano, and R. S. Lira. "Physical Distribution Routing Using Computational Modeling and Simulation." Journal of Mechatronics 2, no. 4 (December 1, 2014): 329–33. http://dx.doi.org/10.1166/jom.2014.1078.

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Zhang, Shi Hong, Hong Wu Song, Ming Cheng, and Zhong Tang Wang. "A Mathmatical Approach for Modeling Real Hot Forming Process Using Physical Simulation Results." Materials Science Forum 575-578 (April 2008): 502–7. http://dx.doi.org/10.4028/www.scientific.net/msf.575-578.502.

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Recently, physical simulation has played a more and more important role in modeling hot forming process. However, difficulty still existed in simulating real hot forming process using physical simulation results directly for obvious difference in deformation history between physical simulation condition and real hot forming process. In this work, difference between physical simulation and real hot forming process was discussed and a mathmatical approach was proposed to model real hot forming process using physical simulation results. The main consideration of the method was to put physical simulation results into differential forms in order to take count in the contribution of deformation history (temperature and strain rate) at each incremental step. For the application of the approach, modeling of material flow stress, dynamical recrystallization including critical condition and recrystallziaton fraction, damage evolution and fracture criteria during real hot forming process were presented as examples, although experimental support was still needed for validation and further application.

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Jeffrey, Jeffrey, Didi Widya Utama, and Gatot Soeharsono. "RANCANG BANGUN KONTRUKSI DAN SISTEM GERAK SUMBU PADA MESIN FUSED DEPOSITION MODELLING." POROS 14, no. 2 (September 20, 2017): 99. http://dx.doi.org/10.24912/poros.v14i2.842.

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Abstract: Fused Deposition Modelling (FDM) is a technology additive manufacture for modelling, prototyping, and production. This technology is one of the techniques used for 3D printers. Our focus is on studying, design machines fused deposition with 3D modeling and simulation with autodesk inventor and other design tools. Design is done by simulating the strength of the construction and then determine the components needed. We are making fused deposition modeling is intended as a prototype in order to understand how it works and how to innovate in the development of fused deposition modeling. The results of the design in the form of a fused depositon modeling that is able to create physical models

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Wagner, Neal. "Comparing the Complexity and Efficiency of Composable Modeling Techniques for Multi-Scale and Multi-Domain Complex System Modeling and Simulation Applications: A Probabilistic Analysis." Systems 12, no. 3 (March 14, 2024): 96. http://dx.doi.org/10.3390/systems12030096.

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Modeling and simulation of complex systems frequently requires capturing probabilistic dynamics across multiple scales and/or multiple domains. Cyber–physical, cyber–social, socio–technical, and cyber–physical–social systems are common examples. Modeling and simulating such systems via a single, all-encompassing model is often infeasible, and thus composable modeling techniques are sought. Co-simulation and closure modeling are two prevalent composable modeling techniques that divide a multi-scale/multi-domain system into sub-systems, use smaller component models to capture each sub-system, and coordinate data transfer between component models. While the two techniques have similar goals, differences in their methods lead to differences in the complexity and computational efficiency of a simulation model built using one technique or the other. This paper presents a probabilistic analysis of the complexity and computational efficiency of these two composable modeling techniques for multi-scale/multi-domain complex system modeling and simulation applications. The aim is twofold: to promote awareness of these two composable modeling approaches and to facilitate complex system model design by identifying circumstances that are amenable to either approach.

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Harmon, Brendan A., Anna Petrasova, Vaclav Petras, Helena Mitasova, and Ross Meentemeyer. "Tangible topographic modeling for landscape architects." International Journal of Architectural Computing 16, no. 1 (January 23, 2018): 4–21. http://dx.doi.org/10.1177/1478077117749959.

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We present Tangible Landscape—a technology for rapidly and intuitively designing landscapes informed by geospatial modeling, analysis, and simulation. It is a tangible interface powered by a geographic information system that gives three-dimensional spatial data an interactive, physical form so that users can naturally sense and shape it. Tangible Landscape couples a physical and a digital model of a landscape through a real-time cycle of physical manipulation, three-dimensional scanning, spatial computation, and projected feedback. Natural three-dimensional sketching and real-time analytical feedback should aid landscape architects in the design of high performance landscapes that account for physical and ecological processes. We conducted a series of studies to assess the effectiveness of tangible modeling for landscape architects. Landscape architecture students, academics, and professionals were given a series of fundamental landscape design tasks—topographic modeling, cut-and-fill analysis, and water flow modeling. We assessed their performance using qualitative and quantitative methods including interviews, raster statistics, morphometric analyses, and geospatial simulation. With tangible modeling, participants built more accurate models that better represented morphological features than they did with either digital or analog hand modeling. When tangibly modeling, they worked in a rapid, iterative process informed by real-time geospatial analytics and simulations. With the aid of real-time simulations, they were able to quickly understand and then manipulate how complex topography controls the flow of water.

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Kondakov, S. A. "ACTIVATING PHYSICAL KNOWLEDGE THROUGH SIMULATION IN THE VIRTUAL WORLD." Современная высшая школа инновационный аспект, no. 4 (2021): 90–97. http://dx.doi.org/10.7442/2071-9620-2021-13-4-90-97.

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The article examines the main trends in the development of information technology in the world in the 21st century. The main diff erences in interpretation are shown in terms such as: virtual reality, augmented reality, BP-technologies. The essence and methods of introduction and use of the «physical engine» in information technologies are described. The technology of the problem of using the main element of cognition - modeling in virtual space, is revealed. The essence and content of the concepts: «model», «modeling» are described in detail. The essence of computer modeling is determined, which consists in obtaining quantitative and qualitative results according to the existing model.

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Nehrii, Serhii, Tetiana Nehrii, and Hanna Piskurska. "Physical simulation of integrated protective structures." E3S Web of Conferences 60 (2018): 00038. http://dx.doi.org/10.1051/e3sconf/20186000038.

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An effective way of protecting development workings by integrated rock wall structures is considered. The necessity of improving this method and its experimental verification is substantiated. Integrated rock wall structures are experimentally tested under laboratory conditions. On the basis of the results of physical modeling, parameters of integrated structures have been specified in terms of impact factors; their yield strength is also specified. The condition for ensuring the stability of the integrated protective structure, which allows calculating appropriate rock wall width, is determined.

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Glatt, M., and J. Aurich. "Physiksimulation cyber-physischer Produktionssysteme*/Physical simulation of cyber-physical production systems – Planning and control of cyber-physical production systems using physical simulation." wt Werkstattstechnik online 108, no. 04 (2018): 217–20. http://dx.doi.org/10.37544/1436-4980-2018-04-23.

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Cyber-physische Produktionssysteme erlauben die wirtschaftliche Herstellung kundenindividueller Produkte in großen Stückzahlen. In diesem Beitrag wird gezeigt, wie die physikalische Modellierung genutzt werden kann, um Materialflussprozesse in cyber-physischen Produktionssystemen zu simulieren. Ziel ist, durch simulationsbasierte Steuerungseingriffe Störungen im Materialfluss zu reduzieren und Durchlaufzeiten zu verringern.   Cyber-physical production systems make it possible to economically manufacture customized products in large quantities. The goal of this article is to show how physical modeling can be used to simulate material flow processes in cyber-physical production systems. Based on the simulation results, control interventions can contribute to reduce disruptions in the material flow and shorten lead times.

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Mania, Elena, Valentina Andreoli, Silvia Cavalletto, Claudio Cassardo, and Silvia Guidoni. "VICMOTO: Physical modeling and numerical simulation applied to vineyard." BIO Web of Conferences 13 (2019): 02006. http://dx.doi.org/10.1051/bioconf/20191302006.

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The knowledge at site level of meteorological and environmental variables involved in vine vegetative development and in grape maturation process is not enough to perceive the plant behaviour in a heterogeneous agro-system such as a vineyard. A useful support for winegrowers decision-making arises from the use of crop growth models able to simulate physiological processes that occur in the atmosphere-plant-soil interface. The study was conducted, during the 2016 and 2017 season, in a Nebbiolo vineyard equipped with ‘above’ and ‘below’ the canopy meteorological sensors. Meteorological measures, soil characteristics and vineyards features were used as input of the VICMOTO model developed to simulate phenological phases, leaf area and grape yield development, water available for the plant in the soil vine water status and berry sugar accumulation. Specific field surveys were used to calibrate and validate the numerical model. VICMOTO showed quite good performance in simulating phenological phases, sugar accumulation and yield, while vine leaf area and soil water potential are less accurate. The calibration and validation of VICMOTO requires measurements to be carried out on different sites and years. In order to obtain a better agreement between simulations and measures, it might be appropriate to modify the parameters and algorithms related to vegetative development and soil water potential.

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Mosterman, Pieter J., and Gautam Biswas. "Modeling and Simulation Semantics for Hybrid Dynamic Physical Systems." IFAC Proceedings Volumes 31, no. 29 (October 1998): 26. http://dx.doi.org/10.1016/s1474-6670(17)38327-1.

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Farì, Stefano, Marco Sagliano, José Alfredo Macés Hernández, Anton Schneider, Ansgar Heidecker, Markus Schlotterer, and Svenja Woicke. "Physical Modeling and Simulation of Reusable Rockets for GNC Verification and Validation." Aerospace 11, no. 5 (April 24, 2024): 337. http://dx.doi.org/10.3390/aerospace11050337.

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Reusable rockets must rely on well-designed Guidance, Navigation and Control (GNC) algorithms. Because they are tested and verified in closed-loop, high-fidelity simulators, emphasizing the strategy to achieve such advanced models is of paramount importance. A wide spectrum of complex dynamic behaviors and their cross-couplings must be captured to achieve sufficiently representative simulations, hence a better assessment of the GNC performance and robustness. This paper focuses on of the main aspects related to the physical (acausal) modeling of reusable rockets, and the integration of these models into a suitable simulation framework oriented towards GNC Validation and Verification (V&V). Firstly, the modeling challenges and the need for physical multibody models are explained. Then, the Vertical Landing Vehicles Library (VLVLib), a Modelica-based library for the physical modeling and simulation of reusable rocket dynamics, is introduced. The VLVLib is built on specific principles that enable quick adaptations to vehicle changes and the introduction of new features during the design process, thereby enhancing project efficiency and reducing costs. Throughout the paper, we explain how these features allow for the rapid development of complex vehicle simulation models by adjusting the selected dynamic effects or changing their fidelity levels. Since the GNC algorithms are normally tested in Simulink®, we show how simulation models with a desired fidelity level can be developed, embedded and simulated within the Simulink® environment. Secondly, this work details the modeling aspects of four relevant vehicle dynamics: propellant sloshing, Thrust Vector Control (TVC), landing legs deployment and touchdown. The CALLISTO reusable rocket is taken as study case: representative simulation results are shown and analyzed to highlight the impact of the higher-fidelity models in comparison with a rigid-body model assumption.

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Horr, Amir M., and Johannes Kronsteiner. "Dynamic Simulations of Manufacturing Processes: Hybrid-Evolving Technique." Metals 11, no. 12 (November 23, 2021): 1884. http://dx.doi.org/10.3390/met11121884.

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Hybrid physical-data-driven modeling techniques have steadily been developed to address the multi-scale and multi-physical aspects of dynamic process simulations. The analytical and computational features of a new hybrid-evolving technique for these processes are elaborated herein and its industrial applications are highlighted. The authentication of this multi-physical and multi-scale framework is carried out by developing an integrated simulation environment where multiple solver technologies are employed to create a reliable industrial-oriented simulation framework. The goal of this integrated simulation framework is to increase the predictive power of material and process simulations at the industrial scale.

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Liekovuori, Kaisa, Samu Rautio, and Aatu Härkönen. "Shared Parameter Database of War Gaming Software: Case Study on Commercial Simulation Databases." Security Dimensions 35, no. 35 (March 31, 2021): 82–99. http://dx.doi.org/10.5604/01.3001.0014.8241.

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Background: The current research brings up the perspective of security-critical information systems in shared parameter databases in the context of processing sensitive data at Finnish Naval Warfare Centre. It refers to the environment of isolated military war gaming simulation and modeling systems. The research problem is: How to make an optimal solution for data distribution in different military war gaming simulation and modeling software? Objectives: The objective is to create a single shared database usable with different detail level software, e.g. high-level scenario simulation, technical system-of-system simulations, and system-level physical simulations. Methods: The methods are modeling, simulation and operation analysis. The approach is inductive, the strategy is a qualitative case study and the data collection was implemented by exploring database models and their combinations. The integration was implemented in an object-relational database management system (ORDBMS), PostgreSQL. Results: The shared database led to efficient access to simulation parameters, more straightforward system integration and improved scalability. Conclusions: The results of modeling and simulation indicated that the integration is possible to implement.

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Yavuz, Mehmet, and Fuat Usta. "Importance of modelling and simulation in biophysical applications." AIMS Biophysics 10, no. 3 (2023): 258–62. http://dx.doi.org/10.3934/biophy.2023017.

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<abstract> <p>Mathematical modelling and simulation in biophysics and its applications in terms of both theoretical and biological/physical/ecological point of view arise in a number of research problems ranging from physical and chemical processes to biomathematics and life science. As known, the modeling of a biophysical system requires the analysis of the different interactions occurring among the different components of the system. This editorial article deals with the topic of this special issue, which is devoted to the new developments in the modelling and simulation in biophysical applications with special attention to the interplay between different scholars.</p> </abstract>

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Shive, P. N., T. Lowry, D. H. Easley, and L. E. Borgman. "Geostatistical simulation for geophysical applications—Part II: Geophysical modeling." GEOPHYSICS 55, no. 11 (November 1990): 1441–46. http://dx.doi.org/10.1190/1.1442791.

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A companion paper (this issue) describes a method for producing three‐dimensional simulations of physical properties for different geologic situations. Here we create a simulation for a particular case, which is a near‐surface (<80 ft deep) description of a karst environment. We simulate seismic velocity, density, resistivity, and the dielectric constant for this situation. We then conduct (in the computer) hypothetical geophysical surveys at the surface of the model. These surveys are seismic refraction, microgravity, dc resistivity, and ground‐probing radar. Physical properties appropriate for cavities are then entered in the model. Repeating the geophysical surveys over the model with cavities provides a convenient method of evaluating their potential for cavity detection. Anomalies produced by normal variations in physical properties may simulate or obscure anomalies from target features. More data about the correlation of physical properties, particularly in the horizontal directions, will be required to evaluate this problem properly.

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Kingsley, Adam D., and Brian E. Anderson. "COMSOL modeling of time reversal focusing in a periodic network of Helmholtz resonators." Journal of the Acoustical Society of America 151, no. 4 (April 2022): A218. http://dx.doi.org/10.1121/10.0011106.

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This presentation will outline the physical and practical considerations for conducting a COMSOL simulation of time reversal focusing in air. Attempts to obtain sub-diffraction-limited time reversal focusing, along with physical and practical consideration, will be presented. Physical considerations include end-corrections, resonator shape and placement, computational domain and anechoic terminations. Practical considerations include mesh size and temporal length. While conducting a time domain study in COMSOL, mesh size is related to the highest frequency and the simulation length is related to the lowest frequency. To maximize computational resources, the simulation uses a restricted bandwidth. Extending the bandwidth is accomplished by combining multiple simulations. Comparison to previous super resolution studies as well as the authors’ equivalent circuit model will also be discussed.

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Gu, Jian Wei, Wang Lu, and Jia Peng Zheng. "Application Research of Numerical Simulation in Physical Modeling Displacement Experiments." Advanced Materials Research 680 (April 2013): 301–6. http://dx.doi.org/10.4028/www.scientific.net/amr.680.301.

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Due to factors such as objective conditions, time, and cost, it is impractical to carry out substantive indoor physical modeling experiments. Numerical simulation, whilst serving oilfield computation, is an economic technology with high speed and repeatability. Based on some typical physical modeling experiments, this paper establishes a numerical simulation model on laboratory units which complies with the experiments. This model aims at fitting displacement experimental dynamics and calibrating parameters in physical modeling experiments. Via this modeling and taking the experiment on profile controlling and flooding with weak gel as an example, computations over several schemes are accomplished, which visually reveal the mechanisms of fluid direction change, oil displacement, and injection profile improvement. The results demonstrate this approach a perfect combination of physical model experiment and numerical simulation, therefore can be widely used in a variety of displacement experiments for oilfield development, to achieve comprehensive studies while saving time and cost.

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Rauscher, Sara A., Todd D. Ringler, William C. Skamarock, and Arthur A. Mirin. "Exploring a Global Multiresolution Modeling Approach Using Aquaplanet Simulations*." Journal of Climate 26, no. 8 (April 15, 2013): 2432–52. http://dx.doi.org/10.1175/jcli-d-12-00154.1.

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Abstract Results from aquaplanet experiments performed using the Model for Prediction across Scales (MPAS) hydrostatic dynamical core implemented within the Department of Energy (DOE)–NCAR Community Atmosphere Model (CAM) are presented. MPAS is an unstructured-grid approach to climate system modeling that supports both quasi-uniform and variable-resolution meshing of the sphere based on conforming grids. Using quasi-uniform simulations at resolutions of 30, 60, 120, and 240 km, the authors evaluate the performance of CAM-MPAS via its kinetic energy spectra, general circulation, and precipitation characteristics. By analyzing an additional variable-resolution simulation with grid spacing that varies from 30 km in a spherical, continental-sized equatorial region to 240 km elsewhere, the CAM-MPAS’s potential for use as a regional climate simulation tool is explored. Similar to other quasi-uniform aquaplanet simulations, tropical precipitation increases with resolution, indicating the resolution sensitivity of the physical parameterizations. Comparison with the finite volume (FV) dynamical core suggests a weaker tropical circulation in the CAM-MPAS simulations, which is evident in reduced tropical precipitation and a weaker Hadley circulation. In the variable-resolution simulation, the kinetic energy spectrum within the high-resolution region closely resembles the quasi-uniform 30-km simulation, indicating a robust simulation of the fluid dynamics. As suggested by the quasi-uniform simulations, the CAM4 physics behave differently in the high and low resolution regions. A positive precipitation anomaly occurs on the western edge of the high-resolution region, exciting a Gill-type response; this zonal asymmetry represents the errors incurred in a variable resolution setting. When paired with a multiresolution mesh, the aquaplanet test case offers an exceptional opportunity to examine the response of physical parameterizations to grid resolution.

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Khamzina, B. E., A. S. Kudussov, and Zh Sh Kuralbayeva. "Modeling in CupCarbon." Bulletin of the Karaganda University. Pedagogy series 107, no. 3 (September 29, 2022): 22–27. http://dx.doi.org/10.31489/2022ped3/22-27.

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Modeling is one of the key categories of modern cognitive theory and design-engineering practice. Simulation and visualization of real physical processes and phenomena are important technological tools and simulation results. The article presents a comparative review and analysis of existing emulators, such as Cisco Packet Tracer and UNetLab, as well as the rationale for choosing CupCarbon as a platform for modeling, in particular, wireless networks for the Internet of Things. The functional potential of today’s most common emulators like Cisco Packet Tracer and UNetLab are significant. Cisco Packet Tracer is a powerful software emulator, which gives the possibility to users to simulate networks, organizing them with the almost unlimited number of devices, using the equipment and adjusting it for the specific tasks of this or that environment. The program gives the opportunity to develop the quality of decision-making speed, creativity and critical thinking, configuration and troubleshooting networks with the use of virtual equipment and simulated connection. Despite the great advantages of this software emulator, it has several disadvantages, which make it incorrect for modeling IoT networks, such as the lack of simulation in a 2D/3D environment and adding urban and natural noise, not a complete emulation of IOS, almost everything that goes beyond the CCNA, it also cannot be built on it, the possible manifestation of a variety of bugs that are treated only by restarting the program.

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Jain, V. K., L. E. Matson, H. L. Gegel, and R. Srinivasan. "Physical modeling of metalworking processes—II: Comparison of visioplastic modeling and computer simulation." Journal of Materials Shaping Technology 5, no. 4 (December 1988): 249–57. http://dx.doi.org/10.1007/bf02836005.

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Sanz-Herrera, Jose A., and Esther Reina-Romo. "Continuum Modeling and Simulation in Bone Tissue Engineering." Applied Sciences 9, no. 18 (September 5, 2019): 3674. http://dx.doi.org/10.3390/app9183674.

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Bone tissue engineering is currently a mature methodology from a research perspective. Moreover, modeling and simulation of involved processes and phenomena in BTE have been proved in a number of papers to be an excellent assessment tool in the stages of design and proof of concept through in-vivo or in-vitro experimentation. In this paper, a review of the most relevant contributions in modeling and simulation, in silico, in BTE applications is conducted. The most popular in silico simulations in BTE are classified into: (i) Mechanics modeling and scaffold design, (ii) transport and flow modeling, and (iii) modeling of physical phenomena. The paper is restricted to the review of the numerical implementation and simulation of continuum theories applied to different processes in BTE, such that molecular dynamics or discrete approaches are out of the scope of the paper. Two main conclusions are drawn at the end of the paper: First, the great potential and advantages that in silico simulation offers in BTE, and second, the need for interdisciplinary collaboration to further validate numerical models developed in BTE.

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Fasel, Hermann F., Dominic A. von Terzi, and Richard D. Sandberg. "A Methodology for Simulating Compressible Turbulent Flows." Journal of Applied Mechanics 73, no. 3 (September 30, 2005): 405–12. http://dx.doi.org/10.1115/1.2150231.

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A flow simulation Methodology (FSM) is presented for computing the time-dependent behavior of complex compressible turbulent flows. The development of FSM was initiated in close collaboration with C. Speziale (then at Boston University). The objective of FSM is to provide the proper amount of turbulence modeling for the unresolved scales while directly computing the largest scales. The strategy is implemented by using state-of-the-art turbulence models (as developed for Reynolds averaged Navier-Stokes (RANS)) and scaling of the model terms with a “contribution function.” The contribution function is dependent on the local and instantaneous “physical” resolution in the computation. This physical resolution is determined during the actual simulation by comparing the size of the smallest relevant scales to the local grid size used in the computation. The contribution function is designed such that it provides no modeling if the computation is locally well resolved so that it approaches direct numerical simulations (DNS) in the fine-grid limit and such that it provides modeling of all scales in the coarse-grid limit and thus approaches a RANS calculation. In between these resolution limits, the contribution function adjusts the necessary modeling for the unresolved scales while the larger (resolved) scales are computed as in large eddy simulation (LES). However, FSM is distinctly different from LES in that it allows for a consistent transition between RANS, LES, and DNS within the same simulation depending on the local flow behavior and “physical” resolution. As a consequence, FSM should require considerably fewer grid points for a given calculation than would be necessary for a LES. This conjecture is substantiated by employing FSM to calculate the flow over a backward-facing step and a plane wake behind a bluff body, both at low Mach number, and supersonic axisymmetric wakes. These examples were chosen such that they expose, on the one hand, the inherent difficulties of simulating (physically) complex flows, and, on the other hand, demonstrate the potential of the FSM approach for simulations of turbulent compressible flows for complex geometries.

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Yu, Suo Qing, L. P. Zhao, A. B. Wang, H. C. Lin, J. J. Chen, G. D. Yao, and Li Yong Ni. "Physical Modeling of Cylinder Upsetting with Plasticine for Validation of FEM." Advanced Materials Research 129-131 (August 2010): 1129–32. http://dx.doi.org/10.4028/www.scientific.net/amr.129-131.1129.

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Physical simulation was conducted on the process of upsetting cylinder between flat platens by using colorful plasticine. The results of the physical simulation are basically consistent with rigid-plastic finite element analysis, which supports the rigid-plastic mechanical model for the cylindrical billets whose height-diameter ratio are greater than 1. Further physical simulation is conducted on cylinders upsetting between platen and supporting ring. The experimental method provides a reference for physical simulation of large deformation.

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Liu, Yiping, Jianwu Dou, Yijun Cui, Yijian Chen, Jun Yang, Fan Qin, and Yuxin Wang. "Reconfigurable Intelligent Surface Physical Model in Channel Modeling." Electronics 11, no. 17 (September 5, 2022): 2798. http://dx.doi.org/10.3390/electronics11172798.

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Reconfigurable intelligent surfaces (RISs) are one of the potential technologies for 6th generation (6G) mobile communication systems with superior electromagnetic (EM) wave-steering capability to effectively control the phase, amplitude, and polarization of the incident EM wave. An implementation-independent physical RIS model with key EM characteristics is especially crucial to RIS channel modeling considering the trade-off between complexity and accuracy. In this paper, a reflective RIS physical model is proposed to facilitate channel modeling in a system simulation. Based on the impinging EM wave of the last bounce to the RIS, the scattering field intensity of the target point is obtained using geometric optics and the electric field surface integration method of physical optics. The feasibility of the model is verified by a comparison of the simulation and test results.

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Heyrani, Mehdi, Abdolmajid Mohammadian, Ioan Nistor, and Omerul Faruk Dursun. "Numerical Modeling of Venturi Flume." Hydrology 8, no. 1 (February 4, 2021): 27. http://dx.doi.org/10.3390/hydrology8010027.

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In order to measure flow rate in open channels, including irrigation channels, hydraulic structures are used with a relatively high degree of reliance. Venturi flumes are among the most common and efficient type, and they can measure discharge using only the water level at a specific point within the converging section and an empirical discharge relationship. There have been a limited number of attempts to simulate a venturi flume using computational fluid dynamics (CFD) tools to improve the accuracy of the readings and empirical formula. In this study, simulations on different flumes were carried out using a total of seven different models, including the standard k–ε, RNG k–ε, realizable k–ε, k–ω, and k–ω SST models. Furthermore, large-eddy simulation (LES) and detached eddy simulation (DES) were performed. Comparison of the simulated results with physical test data shows that among the turbulence models, the k–ε model provides the most accurate results, followed by the dynamic k LES model when compared to the physical experimental data. The overall margin of error was around 2–3%, meaning that the simulation model can be reliably used to estimate the discharge in the channel. In different cross-sections within the flume, the k–ε model provides the lowest percentage of error, i.e., 1.93%. This shows that the water surface data are well calculated by the model, as the water surface profiles also follow the same vertical curvilinear path as the experimental data.

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Yan, Qing Hua, and Lie Qiang Xiong. "Physical Modeling Test on Gas Rotary Lance for Wire-Feeding." Advanced Materials Research 655-657 (January 2013): 190–94. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.190.

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On ca-cored wire feeding in ladle, there are surface feeding stage and inner feeding stage. China is still in the surface feeding stage. The gas rotary lance was developed for the present condition of the wire feeding devices in China. The water simulation test and the pressure water simulation test were carried through. The vortex on the surface of the liquid and the cavity, the recirculation and rotary in the liquid were observed in the water simulation test. The characteristic curves of the lance coupled with the different wires were disclosed. The lance can be used with the guide pipe directly.

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Kim, Joon-Seok, Taylor Anderson, Ashwin Shashidharan, and Jeon-Young Kang. "GeoSim 2021 Workshop Report: The 4th ACM SIGSPATIAL International Workshop on Geospatial Simulation." SIGSPATIAL Special 13, no. 1-3 (November 2021): 6–8. http://dx.doi.org/10.1145/3578484.3578487.

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Geospatial simulation is an effective tool to experience physical and/or cyber space (e.g., metaverse). New experiences gained from geospatial simulations can bring significant benefits including situation awareness, insight into environments, and entertainment. To take advantage of such simulations, it is crucial to advance methodology of modeling and simulation, develop plausible models and apply them to domains, leveraging big data and evolving technologies.

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Kim, Joon-Seok, Taylor Anderson, Ashwin Shashidharan, and Alexander Hohl. "GeoSim 2022 Workshop Report: The 5th ACM SIGSPATIAL International Workshop on Geospatial Simulation." SIGSPATIAL Special 14, no. 1 (November 2022): 40–42. http://dx.doi.org/10.1145/3632268.3632280.

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Geospatial simulation is an effective tool to experience physical and/or cyber space (e.g., metaverse). New experiences gained from geospatial simulations can bring significant benefits including situation awareness, insight into environments, and entertainment. To take advantage of such simulations, it is crucial to advance methodology of modeling and simulation, develop plausible models and apply them to domains, leveraging big data and evolving technologies.

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Zhang, Zhixuan, Dong Yang, Linlin Ma, Kang Zhao, Ning Zhou, and Xudong Hao. "Research on Semi-physical Simulation of Direct Drive Fan Based on ADPSS." Journal of Physics: Conference Series 2310, no. 1 (October 1, 2022): 012078. http://dx.doi.org/10.1088/1742-6596/2310/1/012078.

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Abstract A high proportion of new energy equipment brings problems such as increased power source uncertainty and weaker moment of inertia to the power grid. Through large-scale grid simulation with refined models of new energy equipment, potential grid risks can be discovered and grid security can be effectively improved. The modeling accuracy of the new energy equipment model affects the simulation accuracy of the large power grid. In order to solve the accuracy problem of the new energy equipment model, a semi-physical simulation platform close to the actual equipment is used to carry out simulations of different working conditions. Based on ADPSS, a semi-physical simulation electromagnetic model of a dual-motor dual-power unit two-level direct-drive fan was built, and simulation data of different working conditions were obtained. The direct frequency control method is adopted to optimize the motor model, which reduces the steady-state fluctuation of the semi-physical simulation and improves the simulation accuracy.

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Santoniy, V. I., Ya I. Lepikh, V. V. Yanko, L. M. Budiyanskaya, I. A. Ivanchenko, and A. P. Balaban. "INSTALLATION FOR PHYSICAL SIMULATION OF LASER LOCATION PROCESSES." Sensor Electronics and Microsystem Technologies 18, no. 1 (March 31, 2021): 35–52. http://dx.doi.org/10.18524/1815-7459.2021.1.227414.

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A device for physical modeling of laser ranging processes has been developed, taking into account aerosol interference phenomena of natural and artificial origin and active background illumination. The installation simulates the processes of object detection and recognition by a laser information-measuring system (LIMS) under conditions of external destabilizing factors and obstacles in the atmospheric channel.

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Meireles, Catarina, José Machado, and Celina P. Leão. "Modeling and Simulation of Physical Parameters of Human Respiratory System." Applied Mechanics and Materials 658 (October 2014): 447–52. http://dx.doi.org/10.4028/www.scientific.net/amm.658.447.

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The respiratory system, due to its non-linear behaviour, is of difficult representation through fixed physical components and common control systems. Therefore, mathematical equations, that represents the respiratory cycle; mechanical components, giving dimension and movement to the simulator; and the electronic components, allowing data acquisition and system control are some factors that must be known and synchronized. The presented work describes the implementation of a mathematical model (in MatLab) that reproduces the non-linear behaviour of the respiratory system, allowing the characterization of different pathophysiological situations. In parallel a graphical interface was developed enabling the user track the change in air flow and volume handled during the respiratory cycle and build physiological profiles of different patients.

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Mosterman, Pieter J., and Gautam Biswas. "A Hybrid Modeling and Simulation Methodology for Dynamic Physical Systems." SIMULATION 78, no. 1 (January 2002): 5–17. http://dx.doi.org/10.1177/0037549702078001197.

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Gołąbek, Andrzej. "Simulation modeling of physical dispersion phenomenon observed in experimental data." Nafta-Gaz 75, no. 2 (February 2019): 94–100. http://dx.doi.org/10.18668/ng.2019.02.05.

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Capsoni, Carlo, Michele D'Amico, and Roberto Nebuloni. "Radar simulation and physical modeling of time diversity satellite systems." Radio Science 44, no. 4 (July 25, 2009): n/a. http://dx.doi.org/10.1029/2009rs004142.

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41

Busatto, G. "Physical modeling of bipolar mode JFET for CAE/CAD simulation." IEEE Transactions on Power Electronics 8, no. 4 (October 1993): 368–75. http://dx.doi.org/10.1109/63.261006.

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Shewchuk, John P., Maury A. Nussbaum, Sunwook Kim, and Sourish Sarkar. "Simulation Modeling and Ergonomic Assessment of Complex Multiworker Physical Processes." IEEE Transactions on Human-Machine Systems 47, no. 6 (December 2017): 777–88. http://dx.doi.org/10.1109/thms.2016.2628771.

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Hu, Shi-Min, Bruno Levy, and Dinesh Manocha. "Solid and Physical Modeling." Computer Aided Geometric Design 25, no. 7 (October 2008): 435. http://dx.doi.org/10.1016/j.cagd.2008.06.001.

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Shi, Jingbo, and Stavros Avramidis. "Water sorption hysteresis in wood: III physical modeling by molecular simulation." Holzforschung 71, no. 9 (August 28, 2017): 733–41. http://dx.doi.org/10.1515/hf-2016-0231.

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Abstract Molecular simulation has been successfully applied to sorption and hysteresis studies of various nanoporous materials, revealing underlying mechanisms that neither theoretical nor experimental approaches can achieve. In this work, the grand canonical Monte Carlo approach is used in a simplified wood-water system to simulate sorption isotherms and hysteresis at 25°C and 40°C. Wood is represented by a cell wall model composed of a solid substance and evenly distributed independent cylindrical nanopores with diameters in the range of 0.6–2.2 nm. Polysaccharides and lignin pore-wall compositions are considered. Hydroxyl groups are modeled as negative energy pits attached to walls and water is represented by the extended simple point charge model. Capillary condensation in the wide hygroscopic range and metastable states are well demonstrated in the simulations, thus supporting the independent domain model discussed in the first paper of this series. The size of simulated hysteresis loops increases with pore size, less hydrophilic lignin composition and reduced temperature. The trends shown by the model are consistent with experimental findings. The larger hysteresis can be explained by more metastable states due to weaker wall-water interaction or smaller thermal fluctuation.

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Li, Zhan Li, and Min Zhang. "Simulation of Tree Motion Based on Vega Prime." Key Engineering Materials 474-476 (April 2011): 1296–99. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.1296.

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Due to the high level complexity of the structure of trees, physical-based simulation of tree’s motion is a difficult task. Many visual simulation platforms and modeling tools are developed to simplify the process of simulation. In a variety of modeling tools, Creator is a simple and convenient modeling tool. It works with the visual simulation platform Vega Prime. They play an important role in the field of visualized simulation. Thus, a solution for simulating tree’s motion in the environment of Creator and Vega Prime is proposed. Each of branches around the tree’s 3D shape is built in Creator, and then is gradually merged together into a tree in Vega Prime. The Vega Prime APIs are used to realize the simulation of tree’s motion. The software development circle is shortened in the solution. The simulation of tree’s motion is accomplished faithfully. Experiment results show that the solution reduces the process of development and realizes the vivid simulation.

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Kuprin, M. S., I. A. Osipov, A. V. Klyuchikov, and N. E. Samokhin. "Simulation Modeling of Mobile Robotic Complexes Tool Analysis According to Physical Laws (a Review)." Mekhatronika, Avtomatizatsiya, Upravlenie 24, no. 3 (March 28, 2023): 152–57. http://dx.doi.org/10.17587/mau.24.152-157.

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This article is about the technologies of simulation modeling of mobile robotic complexes. The basic demands for a simulation environment are defined such as realistic results, open-source code, extensibility, performance of system, possibility of usage of low-level code for simulation. Moreover, the most significant characteristics for physics engines are described in the article, specifically solid-state physics, torque setup, stability of "axle" connection, stability of the simulated many-body system. The frequently used physics engines such as PhysX, ODE, MuJoCo, Bullet, Havok are analyzed and the search of modeling services is made in order to make the comparative table. The platform Unity is in focus of this work to show its abilities in modeling of mechanical and electronic parts of mobile robots. The aim of this work is minimizing mobile robots development outgoings. Programming product is given as result of simulation modeling of robotic complexes. The Unity platform is used as the engine for development of simulation tools for mechanical and electronic parts of robotic complex. The set of tools based on Unity engine is developed in order to create virtual models of mobile robots. The architecture of the project was developed in order to determine aspects of creating mobile robots in a simulation modeling environment. The logic of scripts for modeling the solid-state physics, kinematic chains and joints with different degrees of freedom is presented as a result of developing architecture of the project. The package was tested, a model of a mobile four-wheeled robotic platform was built as a result of the test.

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Niu, De Liang, Qing Cai Liu, Dong Ran Ma, Jian Yang, Min Ren Xu, and Zhu Wang. "Characteristics of the Dead Zones in RH Desgasser with Simulation Methods." Materials Science Forum 817 (April 2015): 755–63. http://dx.doi.org/10.4028/www.scientific.net/msf.817.755.

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A mathematical model has been constructed for simulating the RH degasser of an iron and steel Co. Ltd. The flow field of molten steel in the ladle has been investigated; in addition, it is also investigated through physical modeling study. The main objective of the investigation was to assess the influence of gas flow rate and immersion depth on dead zones in the ladle. The results show that the flow pattern of molten steel in RH degasser can be well represented by the mathematical model and the physical model. Except the areas close to the free surface and the zones between the two snorkels and the sidewall in the ladle, these dead zones can be reduced by increasing of gas flow rate and immersion depth. These dead zones were marked with 1, 2, 3, results calculated by mathematical modeling are in good agreement with which obtained by means of physical modeling (water modelling) study increasing of immersion depth could markedly reduce the area of dead zone 3, yet the area of dead zone 1 and 2 could be markedly reduced by increasing the gas flow rate, hence indicate that mixing of dead zones could be intensified through improving gas flow rate and immersion depth.

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Dong, Qin’ge, Shaohui Zhang, Meijian Bai, Di Xu, and Hao Feng. "Modeling the Effects of Spatial Variability of Irrigation Parameters on Border Irrigation Performance at a Field Scale." Water 10, no. 12 (December 1, 2018): 1770. http://dx.doi.org/10.3390/w10121770.

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The interaction between surface and subsurface water flows plays an important role in surface irrigation systems. This interaction can effectively be simulated by the physical-based models, which have been developed on the basis of the numerical solutions to the Saint-Venant and Richards’ equations. Meanwhile, the spatial variability of field physical properties (such as soil properties, surface micro-topography, and unit discharge) affects the interaction between surface and subsurface water flows and decreases the accuracy of simulating surface irrigation events at large scales. In this study, a new numerical methodology is developed based on the physical-based model of surface irrigation and the Monte Carlo simulation method to improve the modeling accuracy of surface irrigation performance at a field scale. In the proposed numerical methodology, soil properties, unit discharge, surface micro-topography, roughness, border length, and the cutoff time for the unit discharge are used as the stochastic parameters of the physical-based model, while field slope is assumed as the constant value because of the same field tillage and management conditions at a field scale. Monte Carlo simulation is used to obtain the stochastic parameter sample combinations of the physical-based model to represent the spatial variability of field physical properties. The updated stochastic simulation model of surface micro-topography, which is developed to model the spatial distribution of surface elevation differences (SED), is used to obtain the surface micro-topography samples at a field scale. Compared with the distributed-parameter modelling methodology and the field experimental data, the proposed numerical methodology presents the better simulation performance.

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Bielnicki, Marcin, and Jan Jowsa. "Physical and numerical modeling of liquid slag entrainment in mould during slabs casting." Metallurgical Research & Technology 117, no. 5 (2020): 509. http://dx.doi.org/10.1051/metal/2020055.

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The paper presents results of physical and numerical modeling of liquid slag entrainment during continuous casting of steel slabs process. The main aim of this work was to determine the critical casting speed and also to specify, which entrainment mechanism is most responsible for transport of slag droplets into steel volume. Physical modeling was based on water-oil model of mould, made on reduced linear scale of Sl = 0.4. In mathematical modeling, Realizable k-ε and LES WALE models were used to describe turbulent motion of water and oil, whereas Volume of Fluid model was used to take into account interactions between phases. It was found, that the main cause of slag entrainment is the formation of von Karman vortex in the vicinity of submerged entry nozzle. The results of laboratory experiments and numerical simulations were compared each other. Both method are a useful tools for modeling of slag entrainment. Great agreement was found between laboratory experiments and numerical simulation carried out using LES WALE model, regarding the shape of the oil and oil entrainment as a result of vortex structures formation. However, in the simulation case using Realizable k-ε model, the oil entrainment hasn’t been modeled for the conditions under consideration.

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Liu, W. F., M. T. Sichani, S. R. K. Nielsen, Y. B. Peng, J. B. Chen, and J. Li. "Simulation of the Stochastic Wave Loads Using a Physical Modeling Approach." Key Engineering Materials 569-570 (July 2013): 571–78. http://dx.doi.org/10.4028/www.scientific.net/kem.569-570.571.

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In analyzing stochastic dynamic systems, analysis of the system uncertainty due to randomness in the loads plays a crucial role. Typically time series of the stochastic loads are simulated using traditional random phase method. This approach combined with fast Fourier transform algorithm makes an efficient way of simulating realizations of the stochastic load processes. However it requires many random variables, i.e. in the order of magnitude of 1000, to be included in the load model. Unfortunately having too many random variables in the problem makes considerable difficulties in analyzing system reliability or its uncertainty. Moreover applicability of the probability density evolution method on engineering problems faces critical difficulties when the system embeds too many random variables. Hence it is useful to devise a method which can make realization of the stochastic load processes with low, say less than 20, number of random variables. In this article we introduce an approach, so-called "physical modeling of stochastic processes", and show its applicability for simulation of the wave surface elevation.

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Journal articles on the topic 'Physical modeling and simulation'

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