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Journal articles on the topic 'Numerica Modeling'

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Published: 10 March 2023

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1

Schoen, F., P. Van Henternryck, L. Michel, and Y. Deville. "Numerica A Modeling Language for Global Optimisation." Journal of the Operational Research Society 49, no. 11 (November 1998): 1228. http://dx.doi.org/10.2307/3010111.

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2

Schoen, F. "Numerica A Modeling Language for Global Optimisation." Journal of the Operational Research Society 49, no. 11 (November 1998): 1228. http://dx.doi.org/10.1057/palgrave.jors.2600041.

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3

Schoen, F. "Numerica A -- Modeling Language for Global Optimisation." Journal of the Operational Research Society 49, no. 11 (1998): 1228. http://dx.doi.org/10.1038/sj.jors.2600041.

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4

Carrillo, Mauricio, Juan Bazo, Octavio Fashe, Martin Calvo, Jaime Torres, Manuel Sullón, and Walter Molina. "SIMULACION NUMERICA DE LLUVIAS EN EL NORTE DEL PERU." Revista de Investigación de Física 9, no. 01 (July 17, 2006): 82–90. http://dx.doi.org/10.15381/rif.v9i01.8622.

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Lluvias extremas se han observado en el norte del Perú, el impacto de estas lluvias sobre la infraestructura presente en las ciudades es importante, esto debido a la alta vulnerabilidad de la zona. Los eventos ocurren principalmente en verano. Por lo tanto, se han seleccionado catorce casos de lluvia extrema, las que se registraron durante diciembre y marzo del 2001 y 2002. En la presente investigación se realiza una evaluación de la simulación numérica de lluvias en el norte del Perú. Se empleo un modelo regional atmosférico llamado RAMS (Regional Atmosphere Modeling System) el cual ha sido implementado en la zona norte del Perú usando la técnica de anidamiento para reducir la resolución. La evaluación de la simulación de lluvias es realizada midiendo la correlación entre las lluvias registradas y las simuladas por el modelo RAMS. Los resultados muestran una mayor correlación para la cuenca alta, un valor intermedio de correlación para la cuenca media, y los menores valores de correlación se observa en la zona baja de la cuenca. Estos valores para la cuenca alta, media y baja son: 0.49, 0.44, y 0.15 respectivamente. Aunque estos valores son aparentemente bajos, se ha presentado valores de correlación de 0.90 para la cuenca baja de la cuenca, al simular todo el evento de lluvia extrema. También valores de correlación de 0.94 fue observada en la parte alta de la cuenca. Se mencionan algunas explicaciones de los bajos valores de correlación, así como algunas medidas de mejora en los sistemas de adquisición de datos.

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5

Mantilla, Irla, and Carlos Masgo. "SIMULACIÓN NUMERICA DEL PROCESO DE INFECCION TRATAMIENTO DEL VIH1 Y SU CONTROL BAJO LA ACCIÓN DE ANTIRRETROVIRALES." Revista Cientifica TECNIA 25, no. 1 (January 29, 2017): 71. http://dx.doi.org/10.21754/tecnia.v25i1.25.

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En este trabajo se considera la propuesta, desarrollo y simulación numérica de un sistema que modela el comportamiento del tratamiento del VIH-1, utilizando antirretrovirales. El sistema definido para tres variables dependientes de la variable t, denotadas por X(t)= (x1(t), x2(t), x3(t)) representan a la cantidad de Linfocitos T "Helpers" (CD4), cantidad de Linfocitos T Citotóxicos (CD8) y Carga Viral del proceso de infección del VIH-1 en cualquier instante de tiempo t, respectivamente. El sistema conformado por un conjunto de Ecuaciones Diferenciales Ordinarias No lineales, cuyo dominio existencial del sistema representa el tiempo de evaluación del proceso de infección y eliminación del virus en un paciente con VIH-1. Este conjunto de estados del Sistema Dinámico No lineal, asociado a las condiciones de valor inicial es denominado Problema de Cauchy. Existen pocos estudios relacionados a la solución de este sistema, de los encontrados algunos se reducen al estudio en dos variables y otros sin la obtención de la solución explícita. En el presente trabajo se contribuye con el estudio del sistema para tres variables, y un análisis cualitativo y cuantitativo que comprende: linealización, diagrama de fase, estabilidad cualitativa, existencia y unicidad de solución analítica, donde se prueba una equivalencia de la solución del sistema no lineal a la del sistema linealizado. La equivalencia está basada en el Teorema de Grobman – Hartman y se encuentra la solución explícita mediante el método de Runge Kutta de 4to orden. De este modo se obtienen los resultados del modelo y cuya convergencia, está garantizada por la consistencia y estabilidad del esquema numérico. Palabras clave.- Tratamiento antirretroviral, Modelamiento matemático VIH, Sistema dinámico no lineal, Método de Runge Kutta de cuarto orden. ABSTRACTThis paper considers the proposal, development and numerical simulation of a system that models the behavior of the treatment of HIV-1 using antiretrovirals. The system defined for three dependent variables of the variable t, denoted by X(t)=(x1 (t), x2 (t), x3 (t)) represent the amount of T Lymphocytes "Helpers" (CD4), number of Cytotoxic T Lymphocytes (CD8) Viral load and infection process of HIV-1 at any time t, respectively. The assembly consists of a Nonlinear Ordinary Differential Equations system whose existential domain represents time system evaluation process of infection and viral clearance in a patient with HIV-1. This set of states of Nonlinear Dynamic System, associated with the initial value condition is called Cauchy problem. There are few studies related to the solution of this system, found some of the study are reduced to two variables and others without obtaining the explicit solution. Equivalence of the solution of the system linearization, phase diagram, qualitative stability, existence and uniqueness of analytic solution, where test: In this paper contributes to the study of the system for three variables, and qualitative and quantitative analysis comprising nonlinear the linearized system. The equivalence is based on Theorem Grobman - Hartman and explicit solution by the Runge Kutta 4th order, thus the model results and whose convergence is obtained is, is guaranteed by the consistency and stability of the numerical scheme. Keywords.- Antiretroviral therapy, HIV mathematical modeling, Nonlinear dynamic system, Runge Kutta method of fourth order.

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6

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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7

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 (June 2015): 176–82. http://dx.doi.org/10.7763/ijet.2015.v7.788.

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8

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 (October 8, 2019): 80–87. http://dx.doi.org/10.19062/2247-3173.2019.21.12.

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9

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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10

Troyani, N., L. E. Montano, and O. M. Ayala. "Numerical modeling of thermal evolution in hot metal coiling." Revista de Metalurgia 41, Extra (December 17, 2005): 488–92. http://dx.doi.org/10.3989/revmetalm.2005.v41.iextra.1082.

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11

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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12

Barakhovskaia, E. V., I. V. Marchuk, and A. A. Fedorets. "Numerical modeling of thermocapillary deformations in locally heated liquid layer." Eurasian Journal of Mathematical and Computer Applications 5, no. 4 (2017): 4–13. http://dx.doi.org/10.32523/2306-3172-2017-5-4-4-13.

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13

Spiridonov, Alexander Olegovich, and Evgenii Mikhailovich Karchevskii. "Mathematical and numerical modeling of a drop-shaped microcavity laser." Computer Research and Modeling 11, no. 6 (December 2019): 1083–90. http://dx.doi.org/10.20537/2076-7633-2019-11-6-1083-1090.

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14

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 (June 29, 2009): 649–61. http://dx.doi.org/10.1127/0935-1221/2009/0021-1931.

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15

Petrov, I. B., V. I. Golubev, K. A. Beklemisheva, and A. V. Vasukov. "Numerical modeling of earthquake impact on engineering structures on Arctic shelf." Computational Mathematics and Information Technologies 2 (2017): 163–68. http://dx.doi.org/10.23947/2587-8999-2017-2-163-168.

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16

Rögnvaldsson, Ólafur, Philippe Crochet, and Haraldur Ólafsson. "Mapping of precipitation in Iceland using numerical simulations and statistical modeling." Meteorologische Zeitschrift 13, no. 3 (July 5, 2004): 209–19. http://dx.doi.org/10.1127/0941-2948/2004/0013-0209.

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17

Somjaivang, Dussadee, and Settapat Chinviriyasit. "Numerical Modeling of an Influenza Epidemic Model with Vaccination and Diffusion." International Journal of Applied Physics and Mathematics 4, no. 1 (2014): 68–74. http://dx.doi.org/10.7763/ijapm.2014.v4.257.

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18

Chhatkuli, Subas, and Masayuki Fujihara. "Numerical Modeling of Flow in Fishways Embedded with Circular/Rectangular Obstructions." Journal of Rainwater Catchment Systems 14, no. 2 (2009): 9–19. http://dx.doi.org/10.7132/jrcsa.kj00005284804.

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19

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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20

Ertas, A., and T. J. Kozik. "A Review of Current Approaches to Riser Modeling." Journal of Energy Resources Technology 109, no. 3 (September 1, 1987): 155–60. http://dx.doi.org/10.1115/1.3231341.

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The purpose of this paper is to review the progress made during the past two decades towards the structural modeling and the numerical approaches of a more realistic riser analysis. Two or three-dimensional, linear or nonlinear, either static or dynamic riser modelings are reviewed. Suitable numerical solution techniques for different kinds of modelings are discussed and compared.

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21

Yushin, Denis Igorevich, Andrey Vladimirovich Smirnov, Nestor Washington Solis Pinargote, Pavel Yurievich Peretyagin, and Ramon Torrecillas San Millan. "Modeling Process of Spark Plasma Sintering of Powder Materials by Finite Element Method." Materials Science Forum 834 (November 2015): 41–50. http://dx.doi.org/10.4028/www.scientific.net/msf.834.41.

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This paper investigates and analyses use of numerical modeling by finite element method (FEM) at studying of consolidation processes of materials from powder by spark plasma sintering (SPS). Tasks of SPS process optimization is discussed in detail. Examples of numeric analysis of SPS of current conducting and non-conducting materials are given. Numeric modeling of sample sintering with hybrid method when SPS process is combined with hot pressing (HP) process is studied. Also paper presents development prospects of principles of SPS process numeric modeling.

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22

Acasiete, Frank, and Neisser Pino. "Decaimiento Polinomial y Modelaje Numérico Computacional de la viga de Timoshenko con disipación parcial." Selecciones Matemáticas 5, no. 2 (November 30, 2018): 164–74. http://dx.doi.org/10.17268/sel.mat.2018.02.04.

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23

Filatova, V. M., V. V. Nosikova, and L. N. Pestov. "APPLICATION OF REVERSE TIME MIGRATION (RTM) PROCEDURE IN ULTRASOUND TOMOGRAPHY, NUMERICAL MODELING." EURASIAN JOURNAL OF MATHEMATICAL AND COMPUTER APPLICATIONS 4, no. 4 (2016): 5–13. http://dx.doi.org/10.32523/2306-6172-2016-4-4-5-13.

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24

Senchenkov, I. K., M. V. Iurzhenko, O. P. Chervinko, O. P. Masiuchok, and M. G. Korab. "Numerical modeling of stress-strain state of elements manufactured by 3D printing." Paton Welding Journal 2021, no. 8 (August 28, 2021): 21–26. http://dx.doi.org/10.37434/tpwj2021.08.05.

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25

Devouard, Bertrand, and Alain Baronnet. "Axial diffraction of curved lattices: geometrical and numerical modeling. Application to chrysotile." European Journal of Mineralogy 7, no. 4 (August 1, 1995): 835–46. http://dx.doi.org/10.1127/ejm/7/4/0835.

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26

Hebda, Kamil, Łukasz Habera, and Piotr Koślik. "Modelowanie numeryczne ładunków kumulacyjnych z wkładkami dzielonymi dwuczęściowymi." Nafta-Gaz 77, no. 4 (April 2021): 264–69. http://dx.doi.org/10.18668/ng.2021.04.06.

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The article was created on the grounds of numerical modelling of shaped charges with a focus on the unconventional shape of their liners. The standard shaped charge of the “deep penetrating” type is equipped with a conical liner made of copper. Three various geometries of shaped charges featuring unconventional shape have been modelled and compared with the classical model of a shaped charge. The shaped charges have been compared for maximum pressure during detonation, cumulative jet velocity, kinetic energy gained and length of cumulative jet after 22 µs. The purpose of modelling shaped charges, featuring unconventionally formed liners, was to check whether they are able to improve the perforation job parameters in oil and gas wells. Perforation of the borehole is a critical job, enabling the initiation of hydrocarbons production from a specific reservoir. The job consists in making series of channels perpendicular to the borehole axis, penetrating casing walls, the cement layer and the formation rock, in order to create a hydraulic link between the borehole and the reservoir of hydrocarbons. In the oil industry, the “deep penetrating” type shaped charges are designed in order to provide optimal length of the perforation channel, while maintaining its adequate perforating diameter. Nowadays, the most commonly deep-penetrating shaped charges used, are the axially-symmetric shaped charges with conical liners made of copper powders. The charges create a cumulative jet reaching a velocity of approx. 7000 m/sec and are able to penetrate up to 1 m of rock matrix in favourable conditions. The article describes the parameters of shaped charges, that have been obtained as a result of numerical modelling. In order to finally confirm the target penetrating ability by the modelled shaped charges, one should check their real physical models in fire-ground conditions.

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27

Chenari, B., S. S. Saadatian, and Almerindo D. Ferreira. "Numerical Modelling of Regular Waves Propagation and Breaking Using Waves2Foam." Journal of Clean Energy Technologies 3, no. 4 (2015): 276–81. http://dx.doi.org/10.7763/jocet.2015.v3.208.

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28

Russell, James K., Daniele Giordano, Donald B. Dingwell, and Kai-Uwe Hess. "Modelling the non-Arrhenian rheology of silicate melts: Numerical considerations." European Journal of Mineralogy 14, no. 2 (March 22, 2002): 417–28. http://dx.doi.org/10.1127/0935-1221/2002/0014-0417.

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29

Fujihara, Masayuki. "Numerical Modelling of Flow in Fishways Using Shallow Water Equations." Journal of Rainwater Catchment Systems 14, no. 2 (2009): 97–98. http://dx.doi.org/10.7132/jrcsa.kj00005284815.

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30

Vala, Jiří. "Numerical approaches to the modelling of quasi-brittle crack propagation." Archivum Mathematicum, no. 3 (2023): 295–303. http://dx.doi.org/10.5817/am2023-3-295.

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31

Covarrubias Contreras, B. Rodrigo, Alec Torres-Freyermuth, and José López González. "Modelado físico y numérico de la interacción de ondas enfocadas con un dique vertical con banqueta baja." Tecnología y ciencias del agua 12, no. 2 (2021): 01–34. http://dx.doi.org/10.24850/j-tyca-2021-02-03.

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Las ondas enfocadas, fenómeno que ocurre en el océano, es responsable del fallo de estructuras localizadas costa afuera. Existen pocos trabajos enfocados a su estudio en zonas cercanas a la costa. En el presente trabajo se estudió la estabilidad y funcionalidad de un dique vertical con banqueta baja en presencia de ondas enfocadas. Para ello, se realizaron ensayos en un canal de oleaje. Mediciones de superficie libre, presiones, subpresiones, y rebase fueron utilizadas para validar un modelo numérico que resuelve las ecuaciones RANS. Las predicciones de rebase y presiones/subpresiones máximas del modelo numérico presentaron diferencias promedio con respecto a las mediciones de 10% y 8%, respectivamente. Posteriormente, el modelo numérico se utilizó para evaluar el papel de la posición relativa de la estructura. Finalmente, se compararon los resultados del modelo físico con formulaciones semi-empíricas, encontrando diferencias significativas en rebase (≈100%) y en presiones y subpresiones (88%). Este estudio demuestra que el uso de modelos tipo RANS es una alternativa a las clásicas formulaciones semi-empíricas, pues se comparan mejor con las mediciones durante este tipo de fenómenos.

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32

Dashchenko, O. F., Yu М. Svinarov, and O. M. Lymarenko. "Computer modeling and numerical analysis of the prosthesis to fix the forearm fractures." Odes’kyi Politechnichnyi Universytet. Pratsi, no. 2 (June 15, 2015): 128–32. http://dx.doi.org/10.15276/opu.2.46.2015.23.

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33

Sukhinov, A. I., A. E. Chistyakov, E. A. Protsenko, V. V. Sidoryakina, and S. V. Protsenko. "Improvement of numerical solution smoothness for the hydrodynamics problems modeling on rectangular grids." Computational Mathematics and Information Technologies 1, no. 1 (2019): 1–16. http://dx.doi.org/10.23947/2587-8999-2019-1-1-1-16.

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34

Ermolenko, D. Yu, and V. V. Golovko. "Numerical modeling and prediction of weld microstructure in high-strength steel welding (Review)." Paton Welding Journal 2014, no. 3 (March 28, 2014): 2–10. http://dx.doi.org/10.15407/tpwj2014.03.01.

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35

Balczó, Márton Gromke, and Bodo Ruck. "Numerical modeling of flow and pollutant dispersion in street canyons with tree planting." Meteorologische Zeitschrift 18, no. 2 (May 13, 2009): 197–206. http://dx.doi.org/10.1127/0941-2948/2009/0361.

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36

Blagoeva, Rumiana, Assen Nedev, and Victoria Michailova. "Numerical Modelling of Indomethacin Release from Pnipam- G –Peo Micellar Nanoparticles." Indian Journal of Applied Research 4, no. 3 (October 1, 2011): 433–35. http://dx.doi.org/10.15373/2249555x/mar2014/136.

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37

Dubled, Morgane, and Young-bae Kim. "Numerical Analysis and Modelling of Solar Still with Granular Activated Carbon." Bonfring International Journal of Power Systems and Integrated Circuits 7, no. 2 (May 31, 2017): 13–18. http://dx.doi.org/10.9756/bijpsic.8335.

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38

Liu, Yue, Noam Weisbrod, and Alexander Yakirevich. "Comparative Study of Methods for Delineating the Wellhead Protection Area in an Unconfined Coastal Aquifer." Water 11, no. 6 (June 4, 2019): 1168. http://dx.doi.org/10.3390/w11061168.

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Various delineation methods, ranging from simple analytical solutions to complex numerical models, have been applied for wellhead protection area (WHPA) delineation. Numerical modeling is usually regarded as the most reliable method, but the uncertainty of input parameters has always been an obstacle. This study aims at examining the results from different WHPA delineation methods and addressing the delineation uncertainty of numerical modeling due to the uncertainty from input parameters. A comparison and uncertainty analysis were performed at two pumping sites—a single well and a wellfield consisting of eight wells in an unconfined coastal aquifer in Israel. By appointing numerical modeling as the reference method, a comparison between different methods showed that a semi-analytical method best fits the reference WHPA, and that analytical solutions produced overestimated WHPAs in unconfined aquifers as regional groundwater flow characteristics were neglected. The results from single well and wellfield indicated that interferences between wells are important for WHPA delineation, and thus, that only semi-analytical and numerical modelling are recommended for WHPA delineation at wellfields. Stochastic modeling was employed to analyze the uncertainty of numerical method, and the probabilistic distribution of WHPAs, rather a deterministic protection area, was generated with considering the uncertain input hydrogeological parameters.

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39

Fontes, Roberto Fioravanti Carelli, Jésica Daniela Fey, Ana Júlia Fernandes Cardoso Oliveira, and Edison Barbieri. "Numerical modeling as supporting tool for aquaculture of oysters in a subtropical estuarine ecosystem." Boletim do Instituto de Pesca 45, no. 4 (September 28, 2019): e487. http://dx.doi.org/10.20950/1678-2305.2019.45.4.487.

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40

Lanchava, Omar, Nicolae Ilias, Giorgi Javakhishvili, Sorin Mihai Radu, and Leon Makharadze. "Influence of current direction in longitudinal ventilated road tunnels on the backflow of combustion Produits." MATEC Web of Conferences 373 (2022): 00076. http://dx.doi.org/10.1051/matecconf/202237300076.

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The results of numerical modeling in longitudinal ventilated sloping road tunnels are given. The slope of the tunnels varies in the range of 0-6%. The geometry of the tunnel is as follows: length: 100 m; width: 8 m; height: 6 m; area of the seat of fire: 16 m2. The seat of fire sized: 2.75x5.8x1.5 m is in the central part of the tunnel. The scenarios of development of 5, 10, 20, 30, 50 MW fires are studied in the case of positive and negative directional ventilation flows. The time of modelling was 120 seconds. The numerical problems were modelled with a volumetric grid method. The grid cell dimensions were: 0.5*0.5*0.5 m. Virtual point and volumetric measuring equipment was used to record the modeling results. The modelling used 4 groups of measuring devices that measured and recorded air velocity, temperature, and air and smoke densities. The paper discusses cases of algebraically summarizing the ventilation and fire-induced flows. Based on the results of numerical modeling, we can point out that the widely accepted indices of critical velocity and back-layering length in inclined road tunnels often give erroneous results. Therefore, in strategies for emergency ventilation, indicators such are critical velocity and back-separation should be used with caution.

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41

Feistauer, Miloslav, Rolf Rannacher, and Karel Kozel. "Proceedings of the 2nd Summer Conference Numerical Modelling in Continuum Mechanics. Preface." Applications of Mathematics 40, no. 3 (1995): 161–62. http://dx.doi.org/10.21136/am.1995.134288.

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42

Baklanov, Alexander, Dominik Brunner, Gregory Carmichael, Johannes Flemming, Saulo Freitas, Michael Gauss, Øystein Hov, et al. "Key Issues for Seamless Integrated Chemistry–Meteorology Modeling." Bulletin of the American Meteorological Society 98, no. 11 (November 1, 2017): 2285–92. http://dx.doi.org/10.1175/bams-d-15-00166.1.

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Abstract Online coupled meteorology–atmospheric chemistry models have greatly evolved in recent years. Although mainly developed by the air quality modeling community, these integrated models are also of interest for numerical weather prediction and climate modeling, as they can consider both the effects of meteorology on air quality and the potentially important effects of atmospheric composition on weather. This paper summarizes the main conclusions from the “Symposium on Coupled Chemistry–Meteorology/Climate Modelling: Status and Relevance for Numerical Weather Prediction, Air Quality and Climate Research,” which was initiated by the European COST Action ES1004 “European Framework for Online Integrated Air Quality and Meteorology Modelling (EuMetChem).” It offers a brief review of the current status of online coupled meteorology and atmospheric chemistry modeling and a survey of processes relevant to the interactions between atmospheric physics, dynamics, and composition. In addition, it highlights scientific issues and emerging challenges that require proper consideration to improve the reliability and usability of these models for three main application areas: air quality, meteorology (including weather prediction), and climate modeling. It presents a synthesis of scientific progress in the form of answers to nine key questions, and provides recommendations for future research directions and priorities in the development, application, and evaluation of online coupled models.

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43

Sháněl, Vít, and Miroslav Španiel. "Ballistic Impact Experiments and Numerical Modelling of Parts of Sandwich Armor." Applied Mechanics and Materials 751 (April 2015): 211–16. http://dx.doi.org/10.4028/www.scientific.net/amm.751.211.

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This paper presents some experimental results of a bullet impact on composite armor together with numerical modeling approaches. The development of light composite sandwiches for ballistic protection is the target of a project in terms of which the research is being conducted. Traditionally, a vehicle ballistic protection is mainly achieved through metal-based armor which is extremely heavy, hence the increasing popularity of composite sandwiches. Numerical simulations allow for a reduction of the number of experiments needed to obtain appropriate design of ballistic protection, but they require verified modeling approaches and proper material data. Therefore, different modelling approaches for both parts of the composite sandwich have been tested and possibilities to adjust these models to experimental data were investigated.

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Richer, Blanche, Ali Saeidi, Maxime Boivin, and Alain Rouleau. "Overview of Retrogressive Landslide Risk Analysis in Sensitive Clay Slope." Geosciences 10, no. 8 (July 22, 2020): 279. http://dx.doi.org/10.3390/geosciences10080279.

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Sensitive clays are known for producing retrogressive landslides, also called spread or flowslides. The key characteristics associated with the occurrence of these landslides on a sensitive clay slope must be assessed, and the potential retrogressive distance must be evaluated. Common risk analysis methods include empirical methods for estimating the distance of potential retrogression, analytical limit equilibrium methods, numerical modelling methods using the strength reduction technique, and the integration of a progressive failure mechanism into numerical methods. Methods developed for zoning purposes in Norway and Quebec provide conservative results in most cases, even if they don’t cover the worst cases scenario. A flowslide can be partially analysed using analytical limit equilibrium methods and numerical methods having strength reduction factor tools. Numerical modelling of progressive failure mechanisms using numerical methods can define the critical parameters of spread-type landslides, such as critical unloading and the retrogression distance of the failure. Continuous improvements to the large-deformation numerical modeling approach allow its application to all types of sensitive clay landslides.

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Trabelsi, R., A. C. Seibi, F. Boukadi, W. Chalgham, and H. Trabelsi. "Temperature Distribution and Numerical Modeling of Heat Transfer in Block 276 P1-Sand – Part I." International Journal of Engineering Research and Science 3, no. 7 (July 31, 2017): 30–40. http://dx.doi.org/10.25125/engineering-journal-ijoer-jul-2017-5.

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Bochkarеva, Ekatеrina, and Sеrgеy Khrapov. "Численное моделирование динамики звуковых волн в активных средах с использованием схемы MUSCL." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 1. Mathematica. Physica, no. 1 (March 23, 2015): 13–22. http://dx.doi.org/10.15688/jvolsu1.2015.1.2.

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Mix, Wolfgang, Valeri Goldberg, and Karl-Heinz Bernhardt. "Numerische Experimente mit unterschiedlichen Ansätzen zur Berücksichtigung von großflächigem Waldbestand in Modelluntersuchungen der atmosphärischen Grenzschicht." Meteorologische Zeitschrift 3, no. 3 (July 11, 1994): 187–92. http://dx.doi.org/10.1127/metz/3/1994/187.

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Mejbil saleh, Dr Mohammed. "Numerical Modeling for the Solution of The Laser Heating by Using the Finite Element Method." Paripex - Indian Journal Of Research 3, no. 3 (January 15, 2012): 117–19. http://dx.doi.org/10.15373/22501991/mar2014/41.

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Nallusamy, Nallusamy, Panneerselvam Malathi Sivaram, and Mariappan Suresh. "Numerical Modelling of Solar Parabolic Trough Receiver Employed for Thermal Energy Storage System." Journal of Clean Energy Technologies 5, no. 2 (2017): 107–13. http://dx.doi.org/10.18178/jocet.2017.5.2.353.

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Kuder, Jörg. "Assessment of the geothermal potential of fault zones in Germany by numerical modelling." Zeitschrift der Deutschen Gesellschaft für Geowissenschaften 169, no. 3 (October 31, 2018): 429–44. http://dx.doi.org/10.1127/zdgg/2018/0130.

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