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Relevant bibliographies by topics / The method of numerical simulation

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Academic literature on the topic 'The method of numerical simulation'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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Journal articles on the topic "The method of numerical simulation"

1

Song, B., and R. S. Amano. "A NEW SIMULATION METHOD FOR SEPARATING AND RECIRCULATING FLOWS(Numerical Simulation)." Proceedings of the International Conference on Jets, Wakes and Separated Flows (ICJWSF) 2005 (2005): 731–36. http://dx.doi.org/10.1299/jsmeicjwsf.2005.731.

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Kozelkov, Andrey, Andrey Kurkin, Vadim Kurulin, Kseniya Plygunova, and Olga Krutyakova. "Validation of the LOGOS Software Package Methods for the Numerical Simulation of Cavitational Flows." Fluids 8, no. 3 (2023): 104. http://dx.doi.org/10.3390/fluids8030104.

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Verification problems and numeric simulation of cavitation processes with the help of LOGOS computational fluid dynamics software are presented in this article. The Volume of Fluid method realized within LOGOS allowing numerical simulation of double-phase problems with a free surface is used for numeric simulation. Cavitation is resolved by updating the method with the account for interphase mass exchange; its condensation and evaporation parameters are calculated with the use of the Schnerr–Sauer and Zwart–Gerber–Belamri cavitation models. Numerical simulation results of most actual test prob

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Jiang, Wei, Renqiang Wen, Ming Qin, et al. "A Fast Simulation Method for Wind Turbine Blade Icing Integrating Physical Simulation and Statistical Analysis." Energies 17, no. 22 (2024): 5785. http://dx.doi.org/10.3390/en17225785.

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Simulating wind turbine blade icing quickly is important for wind farms to issue early warnings and effectively deal with the adverse effects of cold weather. However, current numerical simulation methods suffer from high computational costs and lack straightforward acceleration techniques for practical ice prediction. Here, we developed a fast and simple blade icing simulation method via an integrated physical simulation and statistical analysis method. This method consists of two steps: firstly, numerical simulation with CFD, and secondly, table look-up calculations. Over 10,000 sets of wind

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Herdiana, Ratna. "NUMERICAL SIMULATION OF STOCHASTIC DIFFERENTIAL EQUATIONS USING IMPLICIT MILSTEIN METHOD." Journal of Fundamental Mathematics and Applications (JFMA) 3, no. 1 (2020): 72–83. http://dx.doi.org/10.14710/jfma.v3i1.7416.

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Stiff stochastic differential equations arise in many applications including in the area of biology. In this paper, we present numerical solution of stochastic differential equations representing the Malthus population model and SIS epidemic model, using the improved implicit Milstein method of order one proposed in [6]. The open source programming language SCILAB is used to perform the numerical simulations. Results show that the method is more accurate and stable compared to the implicit Euler method.

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Donghyuk, Kang, Shimamura Taisuke, Fujiwara Marie, Yokota Kazuhiko, and Sato Kotaro. "1035 NUMERICAL SIMULATION OF SYNTHETIC JET BY DISCRETE VORTEX METHOD." Proceedings of the International Conference on Jets, Wakes and Separated Flows (ICJWSF) 2013.4 (2013): _1035–1_—_1035–6_. http://dx.doi.org/10.1299/jsmeicjwsf.2013.4._1035-1_.

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Chen, Chao Yue, Zuo Sheng Lei, Xiao Xing Jin, Yun Bo Zhong, and Zhong Ming Ren. "Three Numerical Simulation Methods on Dynamic Free Surface Deformation Simulation of a Sessile Drop." Advanced Materials Research 602-604 (December 2012): 1735–39. http://dx.doi.org/10.4028/www.scientific.net/amr.602-604.1735.

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The problem of free surface deformation is involved in variable fields ranging from material processing to metallurgy. In order to investigate the transient evolution of fluid field and free surface deformation numerically, three numerical simulation methods are proposed among which one is based on level set method, the other two are based on moving mesh method. Afterwards, a benchmark problem of sessile droplet is chosen to test and verify each numerical method. A comparison of each numerical result and experimental result shows a good agreement between each other. Comparison and discussion o

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REN, Chengkun, Fenfen XIONG, Yuanhao WANG, Na LI, Bo JIANG, and Zhiping GUO. "Model validation method by considering uncertainty for numerical simulation." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 41, no. 5 (2023): 987–95. http://dx.doi.org/10.1051/jnwpu/20234150987.

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There is a great amount of uncertainties in the whole life cycle of a flight vehicle, which can induce anon-negligible uncertainty in the numerical simulation output, then the model validation of the numerical simulation is the premise of design optimization. Lots of researches on the uncertainty quantification (UQ) of numerical simulation has been carried out. However, literature has rarely seen works about performing scientific model parameter correction by using the results of UQ and establishing a closed-loop procedure of numerical simulation model validation in a systematic way. Therefore

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Debrie, Ayalew. "Simulation of Harmonic motion." J. of Physical and Chemical Sciences 6, no. 3 (2018): 02. https://doi.org/10.5281/zenodo.1254645.

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            In this work, we study   the characteristics of simple harmonic motion and to solve physical problems related to simple harmonic motion (SHM) using MATLAB computer program. To achieve the objectives, the necessary techniques had been done using both analytical and numerical mathematical computations. Among the numerical methods, we had concentrate Runge Kutta forth order method. The solutions would be given by figures. For the undamped and damped SHM we solve numerically using the above numerical methods with applying

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Liang, Li. "Numerical Simulation Method for Microbial Remediation Effect of Nano Heavy Metal Contaminated Soil." Journal of Nanomaterials 2022 (August 4, 2022): 1–9. http://dx.doi.org/10.1155/2022/3318917.

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Heavy metal soil remediation is an important component in mitigating environmental problems, and microbial remediation has good treatment effect, good environmental affinity, and high treatment cost treatment efficiency. Numerical simulations of soil remediation effects enable the selection of suitable remediation methods and the determination of the optimal remediation input ratio. However, the current numerical simulation mainly relies on a single mathematical model, and the simulation error is large when applied to the microbial remediation with large variability. Numerical simulation metho

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Makhmanazarov, Ramdas, Ilya Tseplyaev, Sergey Shipilov, and Natalya Krivova. "Estimation of SAR Average in Rats during 5G NR Chronic Exposure." Applied Sciences 14, no. 1 (2023): 208. http://dx.doi.org/10.3390/app14010208.

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To study physiological reactions in the brain and skin of higher mammals exposed to chronic radiofrequency radiation, specific absorption ratio (SAR) determination is required and time-consuming numerical methods are used. The paper deals with the estimation of the whole-body specific absorption rate (SAR) in rats chronically exposed to external electromagnetic fields, as well as the development of a laboratory setup simulating the operation of a fifth-generation 5G New Radio base station (with a signal bandwidth of 15 MHz and a carrier frequency of 2.4 GHz). The paper presents a modified meth

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Dissertations / Theses on the topic "The method of numerical simulation"

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Vuta, Ravi K. "Numerical simulation of moving boundary problem." Link to electronic thesis, 2007. http://www.wpi.edu/Pubs/ETD/Available/etd-050407-082551/.

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Xiao, Yong. "Efficient numerical method for micromagnetic simulation and application /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?MATH%202006%20XIAO.

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Zheng, Yu. "Numerical simulation of droplet deformation using spectral element method." Thesis, Cardiff University, 2007. http://orca.cf.ac.uk/54648/.

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Spectral element methods are developed for solving two-phase flow problems of relevance to the power generation industry. In particular, an algorithm is presented for predicting the deformation of a Newtonian droplet accelerating from rest in a gas flow field. The dimensionless governing equations are written in terms of four dimensionless groups: Reynolds number, Weber number, and the viscosity and density ratios of the two fluids. The arbitrary Lagrangian-Eulerian (ALE) formulation is used to account for the movement of the mesh. Spectral element approximations are used to ensure a high degr

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Karaismail, Ertan. "Numerical Simulation Of Radiating Flows." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606452/index.pdf.

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Predictive accuracy of the previously developed coupled code for the solution of the time-dependent Navier-Stokes equations in conjunction with the radiative transfer equation was first assessed by applying it to the prediction of thermally radiating, hydrodynamically developed laminar pipe flow for which the numerical solution had been reported in the literature. The effect of radiation on flow and temperature fields was demonstrated for different values of conduction to radiation ratio. It was found that the steady-state temperature predictions of the code agree well with the benchmark solut

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Qin, Shanlin. "Fractional order models: Numerical simulation and application to medical imaging." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/115108/1/115108_9066888_shanlin_qin_thesis.pdf.

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This thesis is primarily concerned with developing new models and numerical methods based on the fractional generalisation of the Bloch and Bloch-Torrey equations to account for anomalous MRI signal attenuation. The two main contributions of the research are to investigate the anomalous evolution of MRI signals via the fractionalised Bloch equations, and to develop new effective numerical methods with supporting analysis to solve the time-space fractional Bloch-Torrey equations.

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Tarhan, Tanil. "Numerical Simulation Of Laminar Reacting Flows." Phd thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/2/12605307/index.pdf.

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Novel sequential and parallel computational fluid dynamic (CFD) codes based on method of lines (MOL) approach were developed for the numerical simulation of multi-component reacting flows using detailed transport and thermodynamic models. Both codes were applied to the prediction of a confined axisymmetric laminar co-flowing methane-air diffusion flame for which experimental data were available in the literature. Flame-sheet model for infinite-rate chemistry and one-, two-, and five- and ten-step reduced finite-rate reaction mechanisms were employed for methane-air combustion sub-model. A seco

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Allena, Rachele. "Numerical simulation of morphogenetic movements in Drosophila embryo." Phd thesis, Ecole Centrale Paris, 2009. http://tel.archives-ouvertes.fr/tel-00429691.

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The present thesis is developed through four principal chapters. The first one provides a brief but rather exhaustive description of the context, with a global overview on the complex process of the embryogenesis in Drosophila Melanogaster. We amply focus on the three morphogenetic movements that will be numerically simulated, with particular emphasis on both the mechanical and the biological aspects that constitute the main peculiarity of each event. Also we propose a short review on the related previous works. The second chapter supplies the abstract tools for the analysis of the whole probl

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Jalisi, Ismail Scheryar Zafar. "A numerical method for the simulation of rough elastomeric contact." Thesis, Imperial College London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.406305.

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Ren, Qinlong. "Numerical Simulation of 2D Electrothermal Flow Using Boundary Element Method." Thesis, The University of Arizona, 2013. http://hdl.handle.net/10150/312496.

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Microfluidics and its applications to Lab-on-a-Chip have attracted a lot of attention. Because of the small length scale, the flow is characterized by a low Re number. The governing equations become linear. Boundary element method (BEM) is a very good option for simulating the fluid flow with high accuracy. In this thesis, we present a 2D numerical simulation of the electrothermal flow using BEM. In electrothermal flow the volumetric force is caused by electric field and temperature gradient. The physics is mathematically modeled by (i) Laplace equation for the electrical potential, (ii) Poiss

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Riljak, Stanislav. "Numerical simulation of shape rolling." Licentiate thesis, Stockholm, 2006. http://www.diva-portal.org/kth/theses/abstract.xsql?dbid=3963.

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Books on the topic "The method of numerical simulation"

1

Larsson, Ragnar. Numerical simulation of plastic localization. Dept. of Structural Mechanics, Chalmers tekniska högskola, 1990.

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Inan, Umran S. Numerical electromagnetics: The FDTD method. Cambridge University Press, 2011.

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Tomizawa, Kazutaka. Numerical simulation of submicron semiconductor devices. Artech House, 1993.

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Beer, Gernot, and Stéphane Bordas, eds. Isogeometric Methods for Numerical Simulation. Springer Vienna, 2015. http://dx.doi.org/10.1007/978-3-7091-1843-6.

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M, Cerrolaza, Gajardo C, and Brebbia C. A, eds. Numerical methods in engineering simulation. Computational Mechanics Publication, 1996.

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F, Wheeler Mary, and Symposium on Numerical Simulation in Oil Recovery (1986 : Institute for Mathematics and Its Applications, University of Minnesota), eds. Numerical simulation in oil recovery. Springer-Verlag, 1988.

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Camanho, P. P. Numerical simulation of delamination growth in composite materials. National Aeronautics and Space Administration, Langley Research Center, 2001.

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G, Dávila C., and Ambur D. R, eds. Numerical simulation of delamination growth in composite materials. National Aeronautics and Space Administration, Langley Research Center, 2001.

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Center, NASA Glenn Research, ed. A hybrid numerical method for turbulent mixing layers. National Aeronautics and Space Administration, Glenn Research Center, 2001.

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Bilbao, Stefan. Wave and Scattering Methods for Numerical Simulation. John Wiley & Sons, Ltd, 2004. http://dx.doi.org/10.1002/0470870192.

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Book chapters on the topic "The method of numerical simulation"

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Murakami, Tomokazu. "Numerical Simulation Method." In Geophysical Approach to Marine Coastal Ecology. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1129-5_3.

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Zhou, Pei-bai. "Charge Simulation Method." In Numerical Analysis of Electromagnetic Fields. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-50319-1_7.

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Egelja, A., D. Kröner, R. Schwörer, N. Lanson, M. Mancip, and J. P. Vila. "Combined Finite Volume and Smoothed Particle Method." In Numerical Flow Simulation I. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-540-44437-4_3.

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Han, Xu, and Jie Liu. "Rapid Structural Analysis Based on Reduced Basis Method." In Numerical Simulation-based Design. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-10-3090-1_7.

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Zhou, Pei-bai. "Surface Charge Simulation Method (SSM)." In Numerical Analysis of Electromagnetic Fields. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-50319-1_8.

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Yoshida, T., and S. Yanagita. "A Stochastic Simulation Method for Fokker-Planck Equations." In Numerical Astrophysics. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4780-4_121.

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Yamanaka, Junpei, Tohru Okuzono, and Akiko Toyotama. "Numerical Simulation Methods." In Lecture Notes in Chemistry. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5052-2_4.

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O’Kelly, Peter. "Numerical Methods." In Computer Simulation of Thermal Plant Operations. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4256-1_3.

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Chan, Raymond H., Yves ZY Guo, Spike T. Lee, and Xun Li. "Numerical Method (1): Monte Carlo Simulation." In Financial Mathematics, Derivatives and Structured Products. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9534-9_21.

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Wu, Lizhou, and Jianting Zhou. "Improved Linear and Nonlinear Iterative Methods for Rainfall Infiltration Simulation." In Rainfall Infiltration in Unsaturated Soil Slope Failure. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9737-2_4.

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AbstractThe linear infiltration equations obtained by discretizing Richards’ equation need to be solved iteratively, including two approaches of linear and nonlinear iterations. The first method is to use numerical methods to directly numerically discretize Richards’ equations to obtain nonlinear ordinary differential equations and then use nonlinear iterative methods to iteratively solve, such as Newton’s method (Radu et al. in On the convergence of the Newton method for the mixed finite element discretization of a class of degenerate parabolic equation. Numerical mathematics and advanced app

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Conference papers on the topic "The method of numerical simulation"

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Radler, Simon, and Manfred Hajek. "Periodic Free Wake Simulation Using a Numerical Optimization Method." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11373.

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A novel method has been developed for the free vortex wake simulation of rotors under the assumption of periodicity. An error measure is introduced which is based on the mismatch between prevailing convection velocities and the assumed wake element positions. The systematic reduction of this defined error results in a numerically robust method for the computation of wake geometries. Two strategies are compared for the error reduction. The first uses the repeated evaluation of the velocity field to update the wake geometry as long as the defined error decreases. In the second strategy, the appl

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Assous, F. "Numerical simulation of a 3D virtual cathode oscillator." In BOUNDARY ELEMENT METHOD 2006. WIT Press, 2006. http://dx.doi.org/10.2495/be06020.

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Xin Cai. "Numerical simulation method for periodical model." In 2010 2nd International Conference on Industrial Mechatronics and Automation (ICIMA 2010). IEEE, 2010. http://dx.doi.org/10.1109/icindma.2010.5538337.

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Grigorie, Teodor Lucian, Ruxandra Mihaela Botez, and Dragos George Sandu. "A Numerical Implemented Method for the Aircraft Attitude Determination." In Applied Simulation and Modelling. ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.776-033.

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HOWE, R. "An improved numerical integration method for flight simulation." In Flight Simulation Technologies Conference and Exhibit. American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-3306.

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Ren, Guotong, and Rami M. Younis. "A Numerical Method for Hydraulic Fracture Propagation Using Embedded Meshes." In SPE Reservoir Simulation Conference. Society of Petroleum Engineers, 2019. http://dx.doi.org/10.2118/193901-ms.

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Alwan, Elias, Karim Y. Kabalan, and Ali El-Hajj. "Numerical solution for a 3D rectangular waveguide using the Finite Volume Control method." In Simulation (HPCS). IEEE, 2011. http://dx.doi.org/10.1109/hpcsim.2011.5999901.

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Wang, Baohua, Mingyuan Xu, Qiaoyun Li, et al. "A Scalable Numerical Solution Method for Fine Scale Compositional Simulation." In International Petroleum Technology Conference. IPTC, 2024. http://dx.doi.org/10.2523/iptc-24428-ea.

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Summary Nonlinear iteration is a very important part of reservoir numerical simulation. If the iteration steps can be reduced, the speed of the iteration and the reservoir numerical simulation will be helped greatly. In this study, a self-equilibrium Newton method has been explored for nonlinear system of compositional simulator, which is composed of inexact Newton method, non-negative constraint line search method of molar concentration and automatic time step selection method. Furthermore, a multilevel preconditioning operator and domain decomposition method are adopted to realize parallel c

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Lewtak, Robert, Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "Numerical Simulation of Particulate Flows using the Multiphase Particle-In-Cell Method." In Numerical Analysis and Applied Mathematics. AIP, 2007. http://dx.doi.org/10.1063/1.2790147.

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Athanassoulis, Agissilaos G., Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "The Smoothed Wigner Transform Method: Precise Coarse-Scale Simulation of Wave Propagation." In Numerical Analysis and Applied Mathematics. AIP, 2007. http://dx.doi.org/10.1063/1.2790214.

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Reports on the topic "The method of numerical simulation"

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Zhu, Minjie, and Michael Scott. Two-Dimensional Debris-Fluid-Structure Interaction with the Particle Finite Element Method. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2024. http://dx.doi.org/10.55461/gsfh8371.

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In addition to tsunami wave loading, tsunami-driven debris can cause significant damage to coastal infrastructure and critical bridge lifelines. Using numerical simulations to predict loads imparted by debris on structures is necessary to supplement the limited number of physical experiments of in-water debris loading. To supplement SPH-FEM (Smoothed Particle Hydrodynamics-Finite Element Method) simulations described in a companion PEER report, fluid-structure-debris simulations using the Particle Finite Element Method (PFEM) show the debris modeling capabilities in OpenSees. A new contact ele

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Mondragon, Tomas, Jeffrey Allen, Reena Patel, and Oliver-Denzil Taylor. Comparison of numerical simulations of heat-induced stress in basalt. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49191.

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Energy losses due to excessive noise and heat are primary liabilities in traditional mining processes. Some of the currently researched methods to improve these liabilities involve heating the rock to induce internal stress fractures that make it easier to extract or remove rock with traditional mining equipment. Physical experimentation has yielded useful data that have been applied to numerical simulations of the heating and fracturing of rock, and multiple such simulations have been developed in the commercial multiphysics simulator COMSOL. Since COMSOL is not widely available on DoD high-p

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Ghoniem, Ahmed F. Numerical Simulation of Turbulent Combustion Using Vortex Methods. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada219624.

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Iwashige, Kengo, and Takashi Ikeda. Numerical simulation of stratified shear flow using a higher order Taylor series expansion method. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/115072.

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Demkowicz, L., and Jichun Li. Numerical Simulations of Cloaking Problems using a DPG Method. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada555341.

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Jeon, Youngjoon, and Khalid Mosalam. Experimental and Numerical Investigation of Ballistic Impact Response of Polymethylmetacrylate. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2024. http://dx.doi.org/10.55461/vphp1004.

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For understanding characteristics of Polymethylmetacrylate (PMMA) under impact, the damage behavior of PMMA plates with various thicknesses (1.5 to 6.0 mm) subjected to ballistic impacts with various velocities (63 to 180 m/s) is experimentally investigated using a specialized testing apparatus. Moreover, numerical simulations using the Finite Element Method (FEM) are conducted for the corresponding experimentally studied cases. Ductile response and brittle tensile failure behavior are considered in the FEM to describe the nonlinear response and the failure mode of the PMMA plates. The numeric

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Aursjø, Olav, Aksel Hiorth, Alexey Khrulenko, and Oddbjørn Mathias Nødland. Polymer flooding: Simulation Upscaling Workflow. University of Stavanger, 2021. http://dx.doi.org/10.31265/usps.203.

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There are many issues to consider when implementing polymer flooding offshore. On the practical side one must handle large volumes of polymer in a cost-efficient manner, and it is crucial that the injected polymer solutions maintain their desired rheological properties during transit from surface facilities and into the reservoir. On the other hand, to predict polymer flow in the reservoir, one must conduct simulations to find out which of the mechanisms observed at the pore and core scales are important for field behavior. This report focuses on theoretical aspects relevant for upscaling of p

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Pasupuleti, Murali Krishna. Mathematical Modeling for Machine Learning: Theory, Simulation, and Scientific Computing. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv125.

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Abstract Mathematical modeling serves as a fundamental framework for advancing machine learning (ML) and artificial intelligence (AI) by integrating theoretical, computational, and simulation-based approaches. This research explores how numerical optimization, differential equations, variational inference, and scientific computing contribute to the development of scalable, interpretable, and efficient AI systems. Key topics include convex and non-convex optimization, physics-informed machine learning (PIML), partial differential equation (PDE)-constrained AI, and Bayesian modeling for uncertai

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Kwon, Kyung, Liang-Shih Fan, Qiang Zhou, and Hui Yang. Study of Particle Rotation Effect in Gas-Solid Flows using Direct Numerical Simulation with a Lattice Boltzmann Method. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1183009.

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Honda, Yasuhiro, Tomoaki Kodama, Katsuhiko Wakabayashi, Koichi Nakayama, Tatsuya Morimoto, and Takeshi Ueda. A Design Method of Engine Intake and Exhaust System for Formula SAE® Vehicle Using Numerical Simulation Codes. SAE International, 2005. http://dx.doi.org/10.4271/2005-32-0081.

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