Relevant bibliographies by topics / Numerical modellng

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Numerical modellng'

Author: Grafiati
Published: 7 July 2024
Last updated: 19 July 2025

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Journal articles on the topic "Numerical modellng"

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Jaichuang, Atit, and Wirawan Chinviriyasit. "Numerical Modelling of Influenza Model with Diffusion." International Journal of Applied Physics and Mathematics 4, no. 1 (2014): 15–21. http://dx.doi.org/10.7763/ijapm.2014.v4.247.

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Makokha, Mary, Akira Kobayashi, and Shigeyasu Aoyama. "Numerical Modeling of Seawater Intrusion Management Measures." Journal of Rainwater Catchment Systems 14, no. 1 (2008): 17–24. http://dx.doi.org/10.7132/jrcsa.kj00004978338.

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Gerya, Taras V., David Fossati, Curdin Cantieni, and Diane Seward. "Dynamic effects of aseismic ridge subduction: numerical modelling." European Journal of Mineralogy 21, no. 3 (2009): 649–61. http://dx.doi.org/10.1127/0935-1221/2009/0021-1931.

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O. B. Silva, Augusto, Newton O. P. Júnior, and João A. V. Requena. "Numerical Modeling of a Composite Hollow Vierendeel-Truss." International Journal of Engineering and Technology 7, no. 3 (2015): 176–82. http://dx.doi.org/10.7763/ijet.2015.v7.788.

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Канапьянова, З. Н., А. У. Елепбергенова та Г. А. Мурсакимова. "САНДЫҚ ӘДІСТЕРДІ ҚОЛДАНА ОТЫРЫП, EXCEL БАҒДАРЛАМАСЫНДА БИРЖАЛЫҚ ОПЕРАЦИЯЛАРДЫ МОДЕЛЬДЕУ". Bulletin of Zhetysu University named after I.Zhansugurov, № 4(113) (27 грудня 2024): 91–99. https://doi.org/10.53355/zhu.2024.112.4.012.

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Бұл жұмыста Microsoft Excel ортасында аталған әдістерді қолдана отырып, биржалық операцияларды модельдеу. Негізгі назар – акция бағасының динамикасын талдау, нарықтық үрдістерді болжау, құбылмалылықты бағалау және портфельдерді оңтайландыру үшін алгоритмдер мен құралдарды әзірлеуге бағытталған. Модель деректерді талдаудың дәлдігі мен икемділігін қамтамасыз ету үшін интерполяция, регрессиялық талдау және оңтайландыру мәселесін шешу сияқты бірқатар әдістерді пайдаланады. Excel бағдарламасы қол жетімділік, аналитикалық мүмкіндіктер және визуализация мүмкіндіктерінің көмегімен деректерді жүзеге асыру үшін ыңғайлы платформаны ұсынады. Зерттеудің практикалық инновациясы қор нарығында негізделген шешімдер қабылдау үшін талдаушылар, инвесторлар және зерттеушілер пайдалана алатын құралды құруда жатыр. Жұмыстың нәтижелері математикалық әдістер мен қолда бар құралдарды біріктіру биржалық операцияларды модельдеуді айтарлықтай жеңілдететінін және оның тиімділігін арттыратынын көрсетеді. Зерттеудің мақсаты: шешімдердің тиімділігін арттыру үшін сандық әдістерді қолдана отырып, Excel бағдарламасында биржалық операцияларды талдау және болжау моделін жасау. Идеялар мен негізгі бағыттар: нарық құбылмалылығын зерттеп, кірістірілген функциялар мен макростарды пайдаланып Excel бағдарламасында үлгілерді құру. Ғылыми маңыздылығы: қор биржасы қызметінің принциптерін түсінуді тереңдетеді және модельдеуде бірқатар әдістерді практикалық қолдану. Практикалық маңыздылығы: практика жүзінде талдау процесін жеңілдететін Excel құралымен күрделі математикалық есептеулерді біріктіру және шешу әдістерін құру. Зерттеу жұмысының қорытындылары: сандық әдістерді қолдана отырып, Excel бағдарламасында биржалық операцияларды модельдеуді жеңілдететінін және оның тиімділігін арттыратынын көрсету. Жүргізілген зерттеудің мәні: бинарлық талдау саласындағы есептерді шешу үшін пайдаланудың қарапайымдылығы мен математикалық дәлдікті біріктіретін есептерді шешуге бағытталған. В данной работе проведено моделирование биржевых операций с использованием упомянутых методов в среде Microsoft Excel. Основное внимание уделяется разработке алгоритмов и инструментов для анализа динамики цен на акции, прогнозирования рыночных тенденций, оценки волатильности и оптимизации портфелей. В модели используется ряд методов, таких как интерполяция, регрессионный анализ и решение задач оптимизации, чтобы обеспечить точность и гибкость анализа данных. Excel предоставляет удобную платформу для манипулирования данными с доступностью, аналитическими возможностями и возможностями визуализации. Практическая инновация исследования заключается в создании инструмента, который аналитики, инвесторы и исследователи могут использовать для принятия обоснованных решений на фондовом рынке. Результаты работы показывают, что сочетание математических методов и доступных инструментов существенно упрощает моделирование биржевых операций и повышает его эффективность. Цель исследования: создать модель анализа и прогнозирования биржевых операций в Excel с использованием количественных методов для повышения эффективности принимаемых решений. Идеи и ключевые направления: изучать волатильность рынка и создавать модели в Excel с помощью встроенных функций и макросов. Научная значимость: углубляет понимание принципов биржевой деятельности и практическое применение ряда методов моделирования. Практическая значимость: создание методов объединения и решения сложных математических расчетов с помощью инструмента Excel, упрощающих процесс анализа на практике.Выводы научно-исследовательской работы: показать, что использование численных методов упрощает моделирование биржевых операций в Excel и повышает его эффективность. Суть проведенного исследования: направлено на решение задач, сочетающих простоту использования и математическую точность для решения задач в области бинарного анализа. This paper presents a modeling of stock exchange transactions using the abovementioned methods in the Microsoft Excel environment. The main focus is on developing algorithms and tools for analyzing stock price dynamics, forecasting market trends, assessing volatility, and optimizing portfolios. The model uses a number of methods, such as interpolation, regression analysis, and solving optimization problems, to ensure the accuracy and flexibility of data analysis. Excel provides a convenient platform for data manipulation with accessibility, analytical capabilities, and visualization capabilities. The practical innovation of the study is to create a tool that analysts, investors, and researchers can use to make informed decisions in the stock market. The results of the work show that the combination of mathematical methods and available tools significantly simplifies the modeling of exchange transactions and increases its efficiency. The purpose of the study: to create a model for analyzing and forecasting exchange transactions in Excel using quantitative methods to improve the efficiency of decisions. Ideas and key areas: to study market volatility and create models in Excel using built-in functions and macros. Scientific significance: deepens the understanding of the principles of exchange activity and the practical application of a number of modeling methods. Practical significance: creating methods for combining and solving complex mathematical calculations using the Excel tool, simplifying the analysis process in practice. Conclusions of the research work: to show that the use of numerical methods simplifies the modeling of exchange transactions in Excel and increases its efficiency. The essence of the study: aimed at solving problems that combine
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Goryashko, Alexander, and Pavel Bocharov. "Complex Network Formation as Antagonistic Game: Numerical Modeling." International Journal of Media and Networks 2, no. 12 (2024): 01–07. https://doi.org/10.33140/ijmn.02.12.01.

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The basic challenges of this work are twofold: demonstrating the dependence between the functional and topological qualities of partition networks and finding the simplest—with respect to algorithmic complexity—network elements. The study of these problems is based on finding the solution to an appropriate antagonistic vertex game. The results of the numerical simulations of antagonistic partition games demonstrate that the winner’s graphs are “almost always” dense and hyperenergetic compared to the loser’s graphs. These observations reveal that successful evolutionary mechanisms can be realized, in principle, by the simplest objects (such as viruses).
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ADETU, Alina-Elena, Cătălin ADETU, and Vasile NĂSTĂSESCU. "NUMERICAL MODELING OF ACOUSTIC WAVE PROPAGATION IN UNLIMITED SPACE." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 21, no. 1 (2019): 80–87. http://dx.doi.org/10.19062/2247-3173.2019.21.12.

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Sosnowski, Marcin, and Jerzy Pisarek. "Analiza porównawcza wyników modelowania ewakuacji z wykorzystaniem różnych modeli numerycznych." Prace Naukowe Akademii im. Jana Długosza w Częstochowie. Technika, Informatyka, Inżynieria Bezpieczeństwa 2 (2014): 383–90. http://dx.doi.org/10.16926/tiib.2014.02.33.

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ITO, Yusuke, Toru KIZAKI, Naohiko SUGITA, and Mamoru MITSUISHI. "1206 Numerical Modeling of Picosecond Laser Drilling of Glass." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2015.8 (2015): _1206–1_—_1206–5_. http://dx.doi.org/10.1299/jsmelem.2015.8._1206-1_.

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Troyani, N., L. E. Montano, and O. M. Ayala. "Numerical modeling of thermal evolution in hot metal coiling." Revista de Metalurgia 41, Extra (2005): 488–92. http://dx.doi.org/10.3989/revmetalm.2005.v41.iextra.1082.

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Dissertations / Theses on the topic "Numerical modellng"

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De, Martino Giuseppe. "Multi-Value Numerical Modeling for Special Di erential Problems." Doctoral thesis, Universita degli studi di Salerno, 2015. http://hdl.handle.net/10556/1982.

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2013 - 2014<br>The subject of this thesis is the analysis and development of new numerical methods for Ordinary Di erential Equations (ODEs). This studies are motivated by the fundamental role that ODEs play in applied mathematics and applied sciences in general. In particular, as is well known, ODEs are successfully used to describe phenomena evolving in time, but it is often very di cult or even impossible to nd a solution in closed form, since a general formula for the exact solution has never been found, apart from special cases. The most important cases in the applications are systems of ODEs, whose exact solution is even harder to nd; then the role played by numerical integrators for ODEs is fundamental to many applied scientists. It is probably impossible to count all the scienti c papers that made use of numerical integrators during the last century and this is enough to recognize the importance of them in the progress of modern science. Moreover, in modern research, models keep getting more complicated, in order to catch more and more peculiarities of the physical systems they describe, thus it is crucial to keep improving numerical integrator's e ciency and accuracy. The rst, simpler and most famous numerical integrator was introduced by Euler in 1768 and it is nowadays still used very often in many situations, especially in educational settings because of its immediacy, but also in the practical integration of simple and well-behaved systems of ODEs. Since that time, many mathematicians and applied scientists devoted their time to the research of new and more e cient methods (in terms of accuracy and computational cost). The development of numerical integrators followed both the scienti c interests and the technological progress of the ages during whom they were developed. In XIX century, when most of the calculations were executed by hand or at most with mechanical calculators, Adams and Bashfort introduced the rst linear multistep methods (1855) and the rst Runge- Kutta methods appeared (1895-1905) due to the early works of Carl Runge and Martin Kutta. Both multistep and Runge-Kutta methods generated an incredible amount of research and of great results, providing a great understanding of them and making them very reliable in the numerical integration of a large number of practical problems. It was only with the advent of the rst electronic computers that the computational cost started to be a less crucial problem and the research e orts started to move towards the development of problem-oriented methods. It is probably possible to say that the rst class of problems that needed an ad-hoc numerical treatment was that of sti problems. These problems require highly stable numerical integrators (see Section ??) or, in the worst cases, a reformulation of the problem itself. Crucial contributions to the theory of numerical integrators for ODEs were given in the XX century by J.C. Butcher, who developed a theory of order for Runge-Kutta methods based on rooted trees and introduced the family of General Linear Methods together with K. Burrage, that uni ed all the known families of methods for rst order ODEs under a single formulation. General Linear Methods are multistagemultivalue methods that combine the characteristics of Runge-Kutta and Linear Multistep integrators... [edited by Author]<br>XIII n.s.
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Villa, A. "Three dimensional geophysical modeling : from physics to numerical simulation." Doctoral thesis, Università degli Studi di Milano, 2010. http://hdl.handle.net/2434/148440.

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The main objective of this thesis is to provide a comprehensive numerical tool for the three-dimensional simulation of sedimentary basins. We have used a volume averaging technique to obtain a couple of basin-scale mathematical models. We have used some innovative numerical techniques to deal with such models. A multi-fluid implicit tracking technique is developed and integrated with a Stokes solver that is robust with respect to the variations of the coefficients. The movement of the basin boundaries and the evolution of the faults are treated with an Ale and a Finite Volume scheme respectively. Also some mesh refinement methods are used to guarantee a sufficient accuracy. The numerical experiments show a good qualitative agreement with the measured geometry of the sedimentary layers. (Pubblicata - vedi http://hdl.handle.net/2434/148441)
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Lin, Yuan. "Numerical modeling of dielectrophoresis." Licentiate thesis, Stockholm, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4014.

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Zolfaghari, Reza. "Numerical Simulation of Reactive Transport Problems in Porous Media Using Global Implicit Approach." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-197853.

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This thesis focuses on solutions of reactive transport problems in porous media. The principle mechanisms of flow and reactive mass transport in porous media are investigated. Global implicit approach (GIA), where transport and reaction are fully coupled, and sequential noniterative approach (SNIA) are implemented into the software OpenGeoSys (OGS6) to couple chemical reaction and mass transport. The reduction scheme proposed by Kräutle is used in GIA to reduce the number of coupled nonlinear differential equations. The reduction scheme takes linear combinations within mobile species and immobile species and effectively separates the reaction-independent linear differential equations from coupled nonlinear ones (i.e. reducing the number of primary variables in the nonlinear system). A chemical solver is implemented using semi-smooth Newton iteration which employs complementarity condition to solve for equilibrium mineral reactions. The results of three benchmarks are used for code verification. Based on the solutions of these benchmarks, it is shown that GIA with the reduction scheme is faster (ca. 6.7 times) than SNIA in simulating homogeneous equilibrium reactions and (ca. 24 times) in simulating kinetic reaction. In simulating heterogeneous equilibrium mineral reactions, SNIA outperforms GIA with the reduction scheme by 4.7 times<br>Diese Arbeit konzentriert sich auf die numerische Berechnung reaktiver Transportprobleme in porösen Medien. Es werden prinzipielle Mechanismen von Fluidströmung und reaktive Stofftransport in porösen Medien untersucht. Um chemische Reaktionen und Stofftransport zu koppeln, wurden die Ansätze Global Implicit Approach (GIA) sowie Sequential Non-Iterative Approach (SNIA) in die Software OpenGeoSys (OGS6) implementiert. Das von Kräutle vorgeschlagene Reduzierungsschema wird in GIA verwendet, um die Anzahl der gekoppelten nichtlinearen Differentialgleichungen zu reduzieren. Das Reduzierungsschema verwendet Linearkombinationen von mobilen und immobile Spezies und trennt die reaktionsunabhngigen linearen Differentialgleichungen von den gekoppelten nichtlinearen Gleichungen (dh Verringerung der Anzahl der Primärvariablen des nicht-linearen Gleichungssystems). Um die Gleichgewichtsreaktionen der Mineralien zu berechnen, wurde ein chemischer Gleichungslaser auf Basis von ”semi-smooth Newton-Iterations” implementiert. Ergebnisse von drei Benchmarks wurden zur Code-Verifikation verwendet. Diese Ergebnisse zeigen, dass die Simulation homogener Equilibriumreaktionen mit GIA 6,7 mal schneller und bei kinetischen Reaktionen 24 mal schneller als SNIA sind. Bei Simulationen heterogener Equilibriumreaktionen ist SNIA 4,7 mal schneller als der GIA Ansatz
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Vedin, Jörgen. "Numerical modeling of auroral processes." Doctoral thesis, Umeå University, Physics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1117.

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<p>One of the most conspicuous problems in space physics for the last decades has been to theoretically describe how the large parallel electric fields on auroral field lines can be generated. There is strong observational evidence of such electric fields, and stationary theory supports the need for electric fields accelerating electrons to the ionosphere where they generate auroras. However, dynamic models have not been able to reproduce these electric fields. This thesis sheds some light on this incompatibility and shows that the missing ingredient in previous dynamic models is a correct description of the electron temperature. As the electrons accelerate towards the ionosphere, their velocity along the magnetic field line will increase. In the converging magnetic field lines, the mirror force will convert much of the parallel velocity into perpendicular velocity. The result of the acceleration and mirroring will be a velocity distribution with a significantly higher temperature in the auroral acceleration region than above. The enhanced temperature corresponds to strong electron pressure gradients that balance the parallel electric fields. Thus, in regions with electron acceleration along converging magnetic field lines, the electron temperature increase is a fundamental process and must be included in any model that aims to describe the build up of parallel electric fields. The development of such a model has been hampered by the difficulty to describe the temperature variation. This thesis shows that a local equation of state cannot be used, but the electron temperature variations must be descibed as a nonlocal response to the state of the auroral flux tube. The nonlocal response can be accomplished by the particle-fluid model presented in this thesis. This new dynamic model is a combination of a fluid model and a Particle-In-Cell (PIC) model and results in large parallel electric fields consistent with in-situ observations.</p>
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Xie, Jinsong. "Numerical modeling of tsunami waves." Thesis, University of Ottawa (Canada), 2007. http://hdl.handle.net/10393/27936.

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This thesis provides a synthetic understanding and an extensive analysis on megathrust earthquake generated tsunamis, with emphasis on the application of numerical modeling. In the present thesis, the tsunami characteristics are first depicted as a special hydrodynamic phenomenon. Further, a detailed literature review on the recent developments in tsunami numerical modeling techniques and on their applications is presented. A common approach in modeling the generation, propagation and inundation of tsunamis is discussed and used in the thesis. Based on the assumption of a vertical displacement of ocean water that is analogous to the ocean bottom displacement during a submarine earthquake, and the use of a non-dispersive long-wave model to simulate its physical transformation as it radiates outward from the source region. A general analysis of the Indian Ocean Tsunami of December 26th, 2004 is provided; and tsunami generation and propagation is conducted for this tsunami, as well as for tsunamis occurring in the Arabian Sea and Northwest Pacific Ocean, near the coast of the Vancouver Island. The analyses are based on geological and seismological parameters collected by the author. In this paper the author uses the collected bathymetry and earthquake information, plus tide gauge records and field survey results, and focuses on the theoretical assumptions, validation and limitation of the existing numerical models. Numerical simulations are performed using MIRONE, a tsunami modelling software developed based on the nonlinear shallow water theory. Through numerical modeling of three tsunami scenarios, e.g. December 26, 2004 Indian Ocean Tsunami, November 28, 1945 Arabian Sea Tsunami and the potential Cascadia Tsunami, a vivid overview of the tsunami features is provided as discussed. Generally, the results fairly agree with the observed data. The GEOWARE software is used to compute the tsunami travel time necessary to calibrate the results from MIRONE, using different numerical techniques. Several sensitivity analyses are conducted so that one can understand how oceanic topography affects tsunami wave propagation, determine how smoothing the topography affects the simulated tsunami travel time, and interpret the tsunami wave-height patterns as seen in the model simulations. The model can predict reasonably the tsunami behaviour, and are thus useful for tsunami warning system (tsunami mitigation and preparedness); and coastal population and industry can prepare for such possible catastrophic events.
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Pak, Ali. "Numerical modeling of hydraulic fracturing." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq21618.pdf.

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Vedin, Jörgen. "Numerical modeling of auroral processes /." Umeå : Dept. of Physics, Umeå Univ, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1117.

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Johansson, Christer. "Numerical methods for waveguide modeling /." Stockholm : Numerical Analysis and Computing Science (NADA), Stockholm university, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-992.

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Kim, Chu-p'yŏ. "Numerical modeling of MILD combustion." Aachen Shaker, 2008. http://d-nb.info/988365464/04.

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Books on the topic "Numerical modellng"

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Miidla, Peep. Numerical modelling. InTech, 2012.

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1929-, Chung T. J., ed. Numerical modeling in combustion. Taylor & Francis, 1993.

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A, Beckmann, ed. Numerical ocean circulation modeling. Imperial College Press, 1999.

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Fischer, C. T. Numerical modelling of impedance spectra. UMIST, 1993.

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Schmidt, Wolfram. Numerical Modelling of Astrophysical Turbulence. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01475-3.

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Hofstetter, Günter, and Günther Meschke, eds. Numerical Modeling of Concrete Cracking. Springer Vienna, 2011. http://dx.doi.org/10.1007/978-3-7091-0897-0.

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Chalikov, Dmitry V. Numerical Modeling of Sea Waves. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32916-1.

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O’Brien, James J., ed. Advanced Physical Oceanographic Numerical Modelling. Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-017-0627-8.

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Krawczyk, Andrzej. Numerical modelling of eddy currents. Clarendon Press, 1993.

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Anne, De Cogan, ed. Applied numerical modelling for engineers. Oxford University Press, 1997.

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Book chapters on the topic "Numerical modellng"

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Greenspan, Donald. "Numerical Methodology." In Particle Modeling. Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-1992-7_2.

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Johansson, Robert. "Statistical Modeling." In Numerical Python. Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0553-2_14.

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Johansson, Robert. "Statistical Modeling." In Numerical Python. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-4246-9_14.

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Johansson, Robert. "Statistical Modeling." In Numerical Python. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0413-7_14.

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Towers, O. L. "Process modelling." In Numerical Techniques. CRC Press, 2023. http://dx.doi.org/10.1201/9781003422013-8.

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Waugh, Rachael C. "Numerical Modelling." In Development of Infrared Techniques for Practical Defect Identification in Bonded Joints. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22982-9_6.

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Pesavento, Francesco, Agnieszka Knoppik, Vít Šmilauer, Matthieu Briffaut, and Pierre Rossi. "Numerical Modelling." In Thermal Cracking of Massive Concrete Structures. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76617-1_7.

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Leppäranta, Matti. "Numerical modelling." In The Drift of Sea Ice. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04683-4_8.

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Helmig, Rainer. "Numerical modeling." In Multiphase Flow and Transport Processes in the Subsurface. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60763-9_4.

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Modaressi-Farahmand-Razavi, Arezou. "Numerical Modeling." In Multiscale Geomechanics. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118601433.ch9.

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Conference papers on the topic "Numerical modellng"

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Tesche, F. M. "Numerical Modeling for EMC." In 12th International Zurich Symposium and Technical Exhibition on Electromagnetic Compatibility. IEEE, 1997. https://doi.org/10.23919/emc.1997.10784042.

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Gale, J. D. "Modelling the thermal expansion of zeolites." In Neutrons and numerical methods. AIP, 1999. http://dx.doi.org/10.1063/1.59485.

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French, S. A., and C. R. A. Catlow. "Molecular modelling of organic superconducting salts." In Neutrons and numerical methods. AIP, 1999. http://dx.doi.org/10.1063/1.59479.

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Kozák, Vladislav. "Cohesive Zone Modelling." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2008. American Institute of Physics, 2008. http://dx.doi.org/10.1063/1.2990924.

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Szyszka, Barbara, Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "Mathematical Modeling of Secondary Timber Processing." In Numerical Analysis and Applied Mathematics. AIP, 2007. http://dx.doi.org/10.1063/1.2790201.

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Babovsky, Hans. "Numerical Modelling of Gelating Aerosols." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2008. American Institute of Physics, 2008. http://dx.doi.org/10.1063/1.2991081.

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Blacquière, Gerrit, and Edith van Veldhuizen. "Physical modeling versus numerical modeling." In SEG Technical Program Expanded Abstracts 2003. Society of Exploration Geophysicists, 2003. http://dx.doi.org/10.1190/1.1817878.

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Daugevičius, Mykolas, Juozas Valivonis, and Tomas Skuturna. "The numerical analysis of the long-term behaviour of the reinforced concrete beams strengthened with carbon fiber reinforced polymer: Deflection." In The 13th international scientific conference “Modern Building Materials, Structures and Techniques”. Vilnius Gediminas Technical University, 2019. http://dx.doi.org/10.3846/mbmst.2019.009.

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The numerical analysis of the reinforced concrete beams strengthened with CFRP is presented. The beams previously tested experimentally under long-term loading are selected for numerical simulation. The numerical modelling is performed by evaluating the beam’s work at various stages: the work stage before the long-term loading period, the work stage under the long-term load action, the work stage when the external load is removed and the work stage until failure. The work stages of all modelled beams are described in more detail. To analyse the behaviour of beams at different work stages, the numerical modelling using the phase analysis is performed. Different finite element groups are evaluated in each phase of analysis. The external load is increased, maintained and reduced. The finite elements of the CFRP layer are activated at a certain work stage for evaluating the strengthening effect. To assess the accuracy of the numerical analysis, each beam is modelled from the finite elements of various sizes. The paper presents the process of the numerical modelling and the predicted deflections. The numerically predicted deflections are compared with the deflections of the experimental study. The modelling of the behaviour of the strengthened beams has shown that the nature of the long-term deflection differs from that obtained in the experiment. The increment of the numerically predicted deflection decreases gradually over the long-term period. Meanwhile, the experimental long-term deflection increment is characterised by the sharp increase and decrease at the start of the long-term period. This contradiction shows that the experimental long-term deflections are greater. However, over time, the numerical model deflections may reach and exceed the experimental deflections due to steady increase. The smaller size of the finite elements causes the increase in the cracking moment and the higher moment when the yielding of the tensioned reinforcement occurs. However, the cracking moment obtained by the numerical modelling is much higher than that obtained by the experimental modelling. However, when the yielding strength of the tensile reinforcement is reached, the considered moment is smaller than the experimental one.
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Malta, Edgard Borges, Marcos Cueva, Kazuo Nishimoto, Rodolfo Golc¸alves, and Isai´as Masetti. "Numerical Moonpool Modeling." In 25th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/omae2006-92456.

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The use of moonpools in offshore technology are normally related to the hull opening in drilling units with the objective to protect drilling equipment from environmental forces, and its design aims the minimum motion of the water inside the moonpool, avoiding water impacts when lowering an equipment. Several studies have been carried out to predict the water dynamics inside the moonpool. At most, analytical tools have been used with experimental results, to obtain a good evaluation of viscous effects. Another line of development uses the moonpools as a device to reduce motions of ships or oil platforms. In his context, the use of moonpools in monocolumn type platforms was studied during the development of the concept, through the partnership between PETROBRAS and University of Sa˜o Paulo–USP. An alternative that became viable in the last years is the use of numerical methods to evaluate potencial parameters, being only necessary simple experiments to obtains viscous data to complete the model. This work, that is a continuation of articles about the issue written before, intends to consolidate the calculation method of moonpool to monocolumn units.
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Szyszka, Barbara, and Klaudyna Rozmiarek. "Mathematical Modeling of Primary Wood Processing." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2008. American Institute of Physics, 2008. http://dx.doi.org/10.1063/1.2990980.

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Reports on the topic "Numerical modellng"

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Wang, Yao, Mirela D. Tumbeva, and Ashley P. Thrall. Evaluating Reserve Strength of Girder Bridges Due to Bridge Rail Load Shedding. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317308.

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This research experimentally and numerically evaluated the reserve strength of girder bridges due to bridge rail load shedding. The investigation included: (1) performing non-destructive field testing on two steel girder bridges and one prestressed concrete girder bridge, (2) developing validated finite element numerical models, and (3) performing parametric numerical investigations using the validated numerical modeling approach. Measured data indicated that intact, integral, reinforced concrete rails participate in carrying live load. Research results culminated in recommendations to evaluate the reserve strength of girder bridges due to the participation of the rail, as well as recommendations for bridge inspectors for evaluating steel girder bridges subjected to vehicular collision.
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McAlpin, Jennifer, and Jason Lavecchia. Brunswick Harbor numerical model. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40599.

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The Brunswick area consists of many acres of estuarine and marsh environments. The US Army Corps of Engineers District, Savannah, requested that the US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, develop a validated Adaptive Hydraulics model and assist in using it to perform hydrodynamic modeling of proposed navigation channel modifications. The modeling results are necessary to provide data for ship simulation. The model setup and validation are presented here.
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Krzanowsky, R. M., R. K. Singhal, and N. H. Wade. Numerical modelling of material diggability. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/304973.

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Delk, Tracey. Numerical Modeling of Slopewater Circulation. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada375720.

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Strain, John. Numerical Modelling of Crystal Growth. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada271206.

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Cohen, R. H., B. I. Cohen, and P. F. Dubois. Comprehensive numerical modelling of tokamaks. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/6205417.

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Torres, Marissa, Michael-Angelo Lam, and Matt Malej. Practical guidance for numerical modeling in FUNWAVE-TVD. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45641.

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This technical note describes the physical and numerical considerations for developing an idealized numerical wave-structure interaction modeling study using the fully nonlinear, phase-resolving Boussinesq-type wave model, FUNWAVE-TVD (Shi et al. 2012). The focus of the study is on the range of validity of input wave characteristics and the appropriate numerical domain properties when inserting partially submerged, impermeable (i.e., fully reflective) coastal structures in the domain. These structures include typical designs for breakwaters, groins, jetties, dikes, and levees. In addition to presenting general numerical modeling best practices for FUNWAVE-TVD, the influence of nonlinear wave-wave interactions on regular wave propagation in the numerical domain is discussed. The scope of coastal structures considered in this document is restricted to a single partially submerged, impermeable breakwater, but the setup and the results can be extended to other similar structures without a loss of generality. The intended audience for these materials is novice to intermediate users of the FUNWAVE-TVD wave model, specifically those seeking to implement coastal structures in a numerical domain or to investigate basic wave-structure interaction responses in a surrogate model prior to considering a full-fledged 3-D Navier-Stokes Computational Fluid Dynamics (CFD) model. From this document, users will gain a fundamental understanding of practical modeling guidelines that will flatten the learning curve of the model and enhance the final product of a wave modeling study. Providing coastal planners and engineers with ease of model access and usability guidance will facilitate rapid screening of design alternatives for efficient and effective decision-making under environmental uncertainty.
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Lips, Urmas, Oliver Samlas, Vasily Korabel, Jun She, Stella-Theresa Stoicescu, and Caroline Cusack. Demonstration of annual/quarterly assessments and description of the production system. EuroSea, 2022. http://dx.doi.org/10.3289/eurosea_d6.2.

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This task set out to increase communication between the ocean monitoring and modelling communities in the Baltic Sea area. Through these improved communications, the goal was to advance and improve the HELCOM marine environmental assessments. To gain confidence in the numerical model outputs, an effort was undertaken to ensure ocean observing in-situ data, collected by multiple nations in the Baltic Sea, was assimilated into a numerical model. Here, we report on the development of indicators, as requested by our stakeholders, and we discuss if the Baltic Sea numerical modelling efforts are ready to augment regional environmental status reports, and can our results help guide environmental management in the region.
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Federico, Ivan. CMEMS downscaled circulation operational forecast system. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d5.3_v2.

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Frederico, Ivan. CMEMS downscaled circulation operational forecast system. EuroSea, 2021. http://dx.doi.org/10.3289/eurosea_d5.3.

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