Relevant bibliographies by topics / Numerical Models – Validation

Contents

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

Academic literature on the topic 'Numerical Models – Validation'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Numerical Models – Validation"

1

Synolakis, C. E., E. N. Bernard, V. V. Titov, U. Kânoğlu, and F. I. González. "Validation and Verification of Tsunami Numerical Models." Pure and Applied Geophysics 165, no. 11-12 (2008): 2197–228. http://dx.doi.org/10.1007/s00024-004-0427-y.

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Khatiwada, S., N. Chouw, and J. W. Butterworth. "Evaluation of numerical pounding models with experimental validation." Bulletin of the New Zealand Society for Earthquake Engineering 46, no. 3 (2013): 117–30. http://dx.doi.org/10.5459/bnzsee.46.3.117-130.

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Pounding damage in major earthquakes has been observed frequently in the form of aesthetic, minor or major structural cracks and collapse of buildings. These observations have attracted many numerical and experimental studies that led to analytical models for simulating seismic pounding. This study considers pounding between two steel portal frames without a seismic gap. The first frame has a constant natural period while the second frame has variable stiffness and mass values. Five different ground motions are applied to eight combinations of adjacent frames using a shake table. Numerical sim
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Eliason, Donald E., and Alfred J. Bourgeois. "VALIDATION OF NUMERICAL SHALLOW WATER MODELS FOR STRATIFIED SEICHES." International Journal for Numerical Methods in Fluids 24, no. 8 (1997): 771–86. http://dx.doi.org/10.1002/(sici)1097-0363(19970430)24:8<771::aid-fld481>3.0.co;2-i.

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Morgenthal, Guido, Allan Mcrobie, and Seung-Jae Jang. "Numerical Models for Bridge Deck Aerodynamics and Their Validation." IABSE Symposium Report 84, no. 8 (2001): 50–57. http://dx.doi.org/10.2749/222137801796350185.

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Anderson, D., A. Warkentin, and R. Bauer. "Experimental validation of numerical thermal models for dry grinding." Journal of Materials Processing Technology 204, no. 1-3 (2008): 269–78. http://dx.doi.org/10.1016/j.jmatprotec.2007.11.080.

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Hirwani, Chetan K., Subrata K. Panda, Siba S. Mahapatra, Sanjib K. Mandal, Lokesh Srivastava, and Manoj K. Buragohain. "Flexural strength of delaminated composite plate – An experimental validation." International Journal of Damage Mechanics 27, no. 2 (2016): 296–329. http://dx.doi.org/10.1177/1056789516676515.

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In the present work, the flexural strength of delaminated composite plate has been analysed numerically and compared with experimental results. For the numerical investigation, a general mathematical model of the laminated composite plate with and without delamination has been developed using two higher-order kinematic models. The desired governing equation is obtained using variational approach and discretised with the help of the isoparametric finite element steps. The flexural responses of the delaminated structure computed numerically through a generic in-house computer code developed in M
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Rozante, J. R., D. S. Moreira, R. C. M. Godoy, and A. A. Fernandes. "Multi-model ensemble: technique and validation." Geoscientific Model Development 7, no. 5 (2014): 2333–43. http://dx.doi.org/10.5194/gmd-7-2333-2014.

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Abstract. In this study, a method of numerical weather prediction by ensemble for the South American region is proposed. This method takes into account combinations of the numerical predictions of various models, assigning greater weight to models that exhibit the best performance. Nine operational numerical models were used to perform this study. The main objective of the study is to obtain a weather forecasting product (short-to-medium range) that combines what is best in each of the nine models used in the study, thus producing more reliable predictions. The proposed method was evaluated du
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Rozante, J. R., D. S. Moreira, R. C. M. Godoy, and A. A. Fernandes. "Multi-model ensemble: technique and validation." Geoscientific Model Development Discussions 7, no. 3 (2014): 2933–59. http://dx.doi.org/10.5194/gmdd-7-2933-2014.

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Abstract. In this study, a method of numerical weather prediction by ensemble for the South American region is proposed. This method takes into account combinations of the numerical predictions of various models, assigning greater weight to models that exhibit the best performance. Nine operational numerical models were used to perform this study. The main objective of the study is to obtain a weather forecasting product (short-to-medium range) that combines what is best in each of the nine models used in the study, thus producing more reliable predictions. The proposed method was evaluated du
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Dilão, Rui, and Joaquim Sainhas. "Validation and Calibration of Models for Reaction–Diffusion Systems." International Journal of Bifurcation and Chaos 08, no. 06 (1998): 1163–82. http://dx.doi.org/10.1142/s0218127498000929.

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Space and time scales are not independent in diffusion. In fact, numerical simulations show that different patterns are obtained when space and time steps (Δx and Δt) are varied independently. On the other hand, anisotropy effects due to the symmetries of the discretization lattice prevent the quantitative calibration of models. We introduce a new class of explicit difference methods for numerical integration of diffusion and reaction–diffusion equations, where the dependence on space and time scales occurs naturally. Numerical solutions approach the exact solution of the continuous diffusion
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Dacorogna, Michel, Laila Elbahtouri, and Marie Kratz. "Validation of aggregated risks models." Annals of Actuarial Science 12, no. 2 (2017): 433–54. http://dx.doi.org/10.1017/s1748499517000227.

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AbstractValidation of risk models is required by regulators and demanded by management and shareholders. Those models rely in practice heavily on Monte Carlo (MC) simulations. Given their complexity, the convergence of the MC algorithm is difficult to prove mathematically. To circumvent this problem and nevertheless explore the conditions of convergence, we suggest an analytical approach. Considering standard models, we compute, via mixing techniques, closed form formulas for risk measures as Value-at-Risk (VaR) VaR or Tail Value-at-Risk (TVaR) TVaR on a portfolio of risks, and consequently fo
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Dissertations / Theses on the topic "Numerical Models – Validation"

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Eigelaar, Lerika Susan. "Scale model validation of QUAYSIM and WAVESCAT numerical models of ship motions." Thesis, Stellenbosch : Stellenbosch University, 2015. http://hdl.handle.net/10019.1/96758.

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Thesis (MSc)--Stellenbosch University, 2015.<br>ENGLISH ABSTRACT: Various numerical modelling software packages are available for predicting moored ship motions and forces. The focus of this study was to validate the numerical models QUAYSIM and WAVESCAT and how these models together form a procedure for predicting moored ship motions and forces under the impact of high and low frequency waves. The validation procedure applied in the study involved numerical modelling of a given physical model situation in which moored ship motions and forces were measured under both high and low frequen
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Cooper, Jonathan Paul. "Automatic validation and optimisation of biological models." Thesis, University of Oxford, 2009. http://ora.ox.ac.uk/objects/uuid:24b96d62-b47c-458d-9dff-79b27dbdc9f2.

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Simulating the human heart is a challenging problem, with simulations being very time consuming, to the extent that some can take days to compute even on high performance computing resources. There is considerable interest in computational optimisation techniques, with a view to making whole-heart simulations tractable. Reliability of heart model simulations is also of great concern, particularly considering clinical applications. Simulation software should be easily testable and maintainable, which is often not the case with extensively hand-optimised software. It is thus crucial to automate
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Guardigli, Sara. "Dynamic out-of-plane behaviour of Dutch cavity walls: validation of numerical models." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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After the second world war, cavity walls became a widespread external wall type in the North Western Europe including the Netherlands. Cavity walls consist of two leaves separated by a hollow space (cavity). The leaves are commonly made by masonry bricks, blocks, and wall ties. Wall ties are used to connect the two leaves of a cavity wall and are installed during construction. The ties are meant to withstand wind pressure mostly. Recently in the north of the Netherlands induced earthquakes took place. As consequence, many cavity walls may fail due to the crisis of the ties subjected to seismic
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Robertson, Eric D. "Verification, validation, and implementation of numerical methods and models for OpenFOAM 2.0 for incompressible flow." Thesis, Mississippi State University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1596091.

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<p> A comprehensive survey of available numerical methods and models was performed on the open source computational fluid dynamics solver OpenFOAM version 2.0 for incompressible turbulent bluff body flows. Numerical methods are illuminated using source code for side-by-side comparison. For validation, the accuracy of flow predictions over a sphere in the subcritical regime and delta wing with sharp leading edge is assessed. Solutions show mostly good agreement with experimental data and data obtained from commercial software. A demonstration of the numerical implementation of a dynamic hybrid
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Mattei, Eugenio <1981&gt. "Study of the thermal effects induced by magnetic resonance on endocardial leads: numerical models and experimental validation." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2009. http://amsdottorato.unibo.it/1701/.

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Magnetic resonance imaging (MRI) is today precluded to patients bearing active implantable medical devices AIMDs). The great advantages related to this diagnostic modality, together with the increasing number of people benefiting from implantable devices, in particular pacemakers(PM)and carioverter/defibrillators (ICD), is prompting the scientific community the study the possibility to extend MRI also to implanted patients. The MRI induced specific absorption rate (SAR) and the consequent heating of biological tissues is one of the major concerns that makes patients bearing metallic structure
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Kowalczyk, Piotr Jozef. "Validation and application of advanced soil constitutive models in numerical modelling of soil and soil-structure interaction under seismic loading." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/275675.

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This thesis presents validation and application of advanced soil constitutive models in cases of seismic loading conditions. Firstly, results of three advanced soil constitutive models are compared with examples of shear stack experimental data for free field response in dry sand for shear and compression wave propagation. Higher harmonic generation in acceleration records, observed in experimental works, is shown to be possibly the result of soil nonlinearity and fast elastic unloading waves. This finding is shown to have high importance on structural response, real earthquake records and re
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Green, Daniel. "Understanding urban rainfall-runoff responses using physical and numerical modelling approaches." Thesis, Loughborough University, 2018. https://dspace.lboro.ac.uk/2134/33530.

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This thesis provides a novel investigation into rainfall-runoff processes occurring within a unique two-tiered depth-driven overland flow physical modelling environment, as well as within a numerical model context where parameterisation and DEM/building resolution influences have been investigated using an innovative de-coupled methodology. Two approaches to simulating urban rainfall-runoff responses were used. Firstly, a novel, 9 m2 physical modelling environment consisting of a: (i) a low-cost rainfall simulator component able to simulate consistent, uniformly distributed rainfall events of
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Sofeu, Casimir. "Développement de méthodes pour la validation de critères de substitution en survie : méta-analyses de cancer." Thesis, Bordeaux, 2019. http://www.theses.fr/2019BORD0383.

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Les critères de substitution peuvent être utilisés à la place du critère de jugement le plus pertinent pour évaluer l'efficacité d'un nouveau traitement. Dans un contexte de méta-analyse, l'approche classique pour la validation d'un critère de substitution est basée sur une stratégie d'analyse en deux étapes. Pour des critères de jugement à temps d’évènements, cette approche est souvent sujette à des problèmes d'estimations. Nous proposons une approche de validation en une étape s'appuyant sur des modèles conjoints à fragilités et à copules. Ces modèles incluent à la fois des effets aléatoires
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Knochel, Hervé. "Développement et validation d'un modèle numérique de circulation océanique à coordonnées [sigma] pour l'étude climatique de l'Atlantique nord." Université Joseph Fourier (Grenoble), 1998. http://www.theses.fr/1998GRE10256.

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Dans cette these, un modele numerique de circulation generale oceanique est mis en uvre dans le but d'effectuer une etude climatique de l'atlantique nord. Le modele presente la particularite d'utiliser une coordonnee verticale epousant le relief sous-marin (coordonnee ). Il inclut en outre un modele unidimensionnel integral de couche melangee de type krauss-turner pour parametriser la penetration des forcages atmospheriques de surface dans l'ocean. L'etude d'une simulation climatologique type montre la capacite du modele a reproduire les traits dominants de la circulation generale avec en part
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Karanja, Bethuel, and Parsa Broukhiyan. "Commercial Vehicle Air Consumption: Simulation, Validation and Recommendation." Thesis, KTH, Maskinkonstruktion (Inst.), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209657.

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This report details the work done in a master thesis project. The project was conducted at the Brake Performance Department at Scania CV AB. The project involves the development of a numerical model (in Matlab) that calculates and predicts air consumption in a truck under different drive cycles. The report first details tests and experiments done so as to acquire the necessary information for the development of the model. The report then presents the model that was created and delves into tests that were conducted for its validation. A model is created that allows the user to select different
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Books on the topic "Numerical Models – Validation"

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J, Roy Christopher, ed. Verification and validation in scientific computing. Cambridge University Press, 2010.

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Dinicola, R. S. Validation of a numerical modeling method for simulating rainfall-runoff relations for headwater basins in western King and Snohomish counties, Washington. U.S. Dept. of the Interior, U.S. Geological Survey, 2001.

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Nusca, Michael J. Numerical simulation of reacting flow in a thermally choked ram accelerator: Model development and validation. Ballistic Research Laboratory, 1991.

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Nappert, L. A numerical model for the prediction of two-stage light-gas gun performance: theory and validation. Department of National Defence, Defence Research Establishment, 1990.

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Y, Wang S., and Environmental and Water Resources Institute (U.S.). Task Committee on 3D Free-Surface Flow Model Verification and Validation., eds. Verification and validation of 3D free-surface flow models. American Society of Civil Engineers, 2008.

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(Editor), Werner Haase, Eric Chaput (Editor), Eberhard Elsholz (Editor), Michael A. Leschziner (Editor), and Udo R. Muller (Editor), eds. Ecarp - European Computational Aerodynamics Research Project: Validation of Cfd Codes and Assessment of Turbulence Models (Notes on Numerical Fluid Mechanics). Friedrich Vieweg & Sohn Verlag, 1997.

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Dinicola, R. S. Validation of a Numerical Modeling Method for Simulating Rainfall-Runoff Relations for Headwater Basins in Western King and Shohomish Counties (U.S. Geological Survey Water-Supply Paper, 2495). Geological Survey (USGS), 2000.

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Rhinehart, R. Russell. Nonlinear Regression Modeling for Engineering Applications: Modeling, Model Validation, and Enabling Design of Experiments. Wiley & Sons, Incorporated, John, 2016.

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Rhinehart, R. Russell. Nonlinear Regression Modeling for Engineering Applications: Modeling, Model Validation, and Enabling Design of Experiments. Wiley & Sons, Incorporated, John, 2016.

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United States. National Aeronautics and Space Administration., ed. Semi-annual report for NASA grant NAG5-1125 entitled the role of global cloud climatologies in validating numerical models, April 1, 1991 - September 30, 1991. National Aeronautics and Space Administration, 1991.

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Book chapters on the topic "Numerical Models – Validation"

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Farajpour, Ismail, and Sez Atamturktur. "Analysis of Numerical Errors in Strongly Coupled Numerical Models." In Model Validation and Uncertainty Quantification, Volume 3. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04552-8_41.

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Jiang, Di, and Neil F. Stewart. "Robustness of Boolean Operations on Subdivision-Surface Models." In Numerical Validation in Current Hardware Architectures. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01591-5_10.

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Pozo Álvarez, Alberto. "Techniques for the Validation of Numerical Models." In Fluid Mechanics Applied to Medicine. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60389-2_5.

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Synolakis, C. E., E. N. Bernard, V. V. Titov, U. Kânoğlu, and F. I. González. "Validation and Verification of Tsunami Numerical Models." In Tsunami Science Four Years after the 2004 Indian Ocean Tsunami. Birkhäuser Basel, 2008. http://dx.doi.org/10.1007/978-3-0346-0057-6_11.

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Gröner, Gerd, Mohsen Asadi, Bardia Mohabbati, Dragan Gašević, Fernando Silva Parreiras, and Marko Bošković. "Validation of User Intentions in Process Models." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-642-31095-9_24.

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Oberrecht, Steve P., Petr Krysl, and Ted W. Cranford. "Sound Transmission Validation and Sensitivity Studies in Numerical Models." In The Effects of Noise on Aquatic Life II. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-2981-8_96.

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Gulla, Jon Atle, and Geir Willumsen. "Using explanations to improve the validation of executable models." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Springer International Publishing, 1993. http://dx.doi.org/10.1007/3-540-56777-1_7.

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Serrano, Manuel, Coral Calero, Juan Trujillo, Sergio Luján-Mora, and Mario Piattini. "Empirical Validation of Metrics for Conceptual Models of Data Warehouses." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Springer International Publishing, 2004. http://dx.doi.org/10.1007/978-3-540-25975-6_36.

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Ngan, J. W., C. C. Caprani, and Y. Bai. "Numerical Validation Framework of GFRP Floor Models Using Structural Health Monitoring." In Lecture Notes in Civil Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7603-0_90.

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Wang, Shuyue, Gang Sun, Meng Wang, and Xinyu Wang. "Laminar Transition over Airfoil: Numerical Simulation of Turbulence Models and Experiment Validation." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3305-7_130.

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Conference papers on the topic "Numerical Models – Validation"

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Welch, M., M. Lüthje, and S. Oldfield. "Predicting connected fracture networks: Field validation of numerical models." In Fourth Naturally Fractured Reservoir Workshop. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.2020622015.

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Siano, Rossella, Guido Camata, Vincenzo Sepe, Enrico Spacone, Pere Roca, and Luca Pelà. "NUMERICAL VALIDATION OF EQUIVALENT-FRAME MODELS FOR URM WALLS." In VII European Congress on Computational Methods in Applied Sciences and Engineering. Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2016. http://dx.doi.org/10.7712/100016.2178.10714.

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Alakhdar, S. M., A. A. Urayet, and M. A. Benrwin. "Validation of Theoretical Coning Models Using Numerical Single-Well Simulation." In 1st EAGE North African/Mediterranean Petroleum & Geosciences Conference & Exhibition. European Association of Geoscientists & Engineers, 2003. http://dx.doi.org/10.3997/2214-4609-pdb.8.s046.

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Eça, Luís, Rui Lopes, Filipe Soares Pereira, and Guilherme Vaz. "Numerical and Parameter Uncertainties: Are They Independent?" In ASME 2019 Verification and Validation Symposium. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/vvs2019-5125.

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Abstract In the Validation procedure proposed by the ASME V&amp;V 20 Standard, the quantification of the modeling error of mathematical models solved by Computational Fluid Dynamics (CFD) requires the estimation of the experimental, numerical and parameter uncertainties. In its simplest form, these uncertainties are assumed independent. Parameter uncertainty is typically a consequence of lack of exact values for the boundary conditions and/or fluid properties. Its evaluation is handled by the broad field of uncertainty quantification. However, this evaluation requires simulations that are unav
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Zhang, Jiafeng, Pei Zhang, Kate Fraser, Bartley P. Griffith, and Zhongjun J. Wu. "Experimental Validation of Fluid Dynamic Numerical Models in Blood Pump Simulation." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80855.

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Heart disease affects millions of people each year. However, only a limited number of people benefit from a heart transplant due to the scarce supply of donor hearts. Ventricular assist devices (VADs) provide an alternative way to augment or replace the function of one or more chambers of a failing heart. Fluid dynamics in these devices plays a key role in their function and blood biocompatibility. Although current devices are more biocompatible than their forerunners, they still cause blood damage, such as hemolysis, platelet activation, thrombosis and embolization, which may result in seriou
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del Vecchio, C., L. di Sarno, O.-S. Kwon, and A. Prota. "VALIDATION OF NUMERICAL MODELS FOR RC COLUMNS SUBJECTED TO CYCLIC LOAD." In 4th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering. Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2014. http://dx.doi.org/10.7712/120113.4642.c1678.

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"Validation of Numerical Simulation for Subdural Cortical Stimulation - Using Spherical Phantoms and Anatomically Realistic Head Phantom." In International Conference on Bioinformatics Models, Methods and Algorithms. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004796801360141.

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Berg, Tor E., and Edvard Ringen. "Validation of Shiphandling Simulation Models." In ASME 2011 30th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2011. http://dx.doi.org/10.1115/omae2011-50107.

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This paper describes the need for improved methods for validating numerical models used in shiphandling simulators. Such models vary in complexity, from rather simplistic models used for initial shiphandling training at maritime training centers to high-quality models used in the study of advanced marine operations. High-quality simulation models are also used in investigations of maritime accidents such as collisions and groundings. The SIMMAN 2008 conference presented the results of benchmarking studies of simulation tools currently used by research institutes, universities and training cent
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Irick, Kevin, and Nima Fathi. "Thermal Response of Open-Cell Porous Materials: A Numerical Study and Model Assessment." In ASME 2018 Verification and Validation Symposium. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/vvs2018-9317.

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The evaluation of effective material properties in heterogeneous materials (e.g., composites or multicomponent structures) has direct relevance to a vast number of applications, including nuclear fuel assembly, electronic packaging, municipal solid waste, and others. The work described in this paper is devoted to the numerical verification assessment of the thermal behavior of porous materials obtained from thermal modeling and simulation. Two-dimensional, steady state analyses were conducted on unit cell nano-porous media models using the finite element method (FEM). The effective thermal con
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Manin, Lionel, and Daniel Play. "Thermal Behavior Evaluation During Mechanical Design: Validation of Thermal Numerical Gearbox Models." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/ptg-14457.

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Abstract In todays mechanical design, static and dynamic numerical models are widely used, and thermal models are needed to make robust design. Thermal models, based on the thermal network method, are now available. Several hypotheses are made as physical phenomena are complex and experimental validation is necessary. A thermal model of gearbox has been already presented and compared to few experimental results that had allowed global validation of the model. Now, the experimental validation is concerned with thermal transient and steady state behavior of gearbox versus transmitted power and l
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Reports on the topic "Numerical Models – Validation"

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Daniel Barnes. Validation of Numerical Two-Fluid and Kinetic Plasma Models. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1010628.

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Fuentes, Montserrat, and Adrian E. Raftery. Model Validation and Spatial Interpolation by Combining Observations with Outputs from Numerical Models via Bayesian Melding. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada459748.

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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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Koracin, D., M. Kaplan, C. Smith, et al. Tall Tower Wind Energy Monitoring and Numerical Model Validation in Northern Nevada. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1225900.

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5

McAlpin, Jennifer, Cassandra Ross, and Jared McKnight. Houston Ship Channel and vicinity three-dimensional Adaptive Hydraulics (AdH) numerical model calibration/validation report. Engineer Research and Development Center (U.S.), 2019. http://dx.doi.org/10.21079/11681/33063.

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Piro, Dominic, Kyle A. Brucker, Thomas T. O'Shea, et al. Joint High Speed Sealift (JHSS) Segmented Model Test Data Analysis and Validation of Numerical Simulations. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada576106.

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Malej, Matt, and Fengyan Shi. Suppressing the pressure-source instability in modeling deep-draft vessels with low under-keel clearance in FUNWAVE-TVD. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40639.

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Abstract:
This Coastal and Hydraulics Engineering Technical Note (CHETN) documents the development through verification and validation of three instability-suppressing mechanisms in FUNWAVE-TVD, a Boussinesq-type numerical wave model, when modeling deep-draft vessels with a low under-keel clearance (UKC). Many large commercial ports and channels (e.g., Houston Ship Channel, Galveston, US Army Corps of Engineers [USACE]) are traveled and affected by tens of thousands of commercial vessel passages per year. In a series of recent projects undertaken for the Galveston District (USACE), it was discovered tha
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Dagher, Habib, Anthony Viselli, Andrew Goupee, and Christopher Allen. 1:50 Scale Testing of Three Floating Wind Turbines at MARIN and Numerical Model Validation Against Test Data. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1375021.

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Dagher, Habib, and Anthony Viselli. 1:50 Scale Testing of Three Floating Wind Turbines at MARIN and Numerical Model Validation Against Test Data, Appendix Part 1. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1375023.

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Dagher, Habib, and Anthony Viselli. 1:50 Scale Testing of Three Floating Wind Turbines at MARIN and Numerical Model Validation Against Test Data, Appendix Part 2. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1375025.

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