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Relevant bibliographies by topics / 2-D computational model

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Academic literature on the topic '2-D computational model'

Author: Grafiati

Published: 10 January 2023

Last updated: 28 January 2023

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Journal articles on the topic "2-D computational model"

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Sun, H., and G. T. Schuster. "2‐D wavepath migration." GEOPHYSICS 66, no. 5 (September 2001): 1528–37. http://dx.doi.org/10.1190/1.1487099.

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Prestack Kirchhoff migration (KM) is computationally intensive for iterative velocity analysis. This is partly because each time sample in a trace must be smeared along a quasi‐ellipsoid in the model. As a less costly alternative, we use the stationary phase approximation to the KM integral so that the time sample is smeared along a small Fresnel zone portion of the quasi‐ellipsoid. This is equivalent to smearing the time samples in a trace over a 1.5‐D fat ray (i.e., wavepath), so we call this “wavepath migration” (WM). This compares to standard KM, which smears the energy in a trace along a 3‐D volume of quasi‐concentric ellipsoids. In principle, single trace migration with WM has a computational count of [Formula: see text] compared to KM, which has a computational count of [Formula: see text], where N is the number of grid points along one side of a cubic velocity model. Our results with poststack data show that WM produces an image that in some places contains fewer migration artifacts and is about as well resolved as the KM image. For a 2‐D poststack migration example, the computation time of WM is less than one‐third that of KM. Our results with prestack data show that WM images contain fewer migration artifacts and can define the complex structure more accurately. It is also shown that WM can be significantly faster than KM if a slant stack technique is used in the migration. The drawback with WM is that it is sometimes less robust than KM because of its sensitivity to errors in estimating the incidence angles of the reflections.

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Petrauskas, K., and R. Baronas. "Computational Modelling of Biosensors with an Outer Perforated Membrane." Nonlinear Analysis: Modelling and Control 14, no. 1 (January 20, 2009): 85–102. http://dx.doi.org/10.15388/na.2009.14.1.14532.

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This paper presents one-dimensional (1-D) and two-dimensional (2-D) in-space mathematical models for amperometric biosensors with an outer perforated membrane. The biosensor action was modelled by reaction-diffusion equations with a nonlinear term representing the Michaelis-Menten kinetics of an enzymatic reaction. The conditions at which the 1-D model can be applied to simulate the biosensor response accurately were investigated numerically. The accuracy of the biosensor response simulated by using 1-D model was evaluated by the response simulated with the corresponding 2-D model. A procedure for a numerical evaluation of the effective diffusion coefficient to be used in 1-D model was proposed. The numerically calculated effective diffusion coefficient was compared with the corresponding coefficients derived analytically. The numerical simulation was carried out using the finite difference technique.

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Blatter, Daniel, Anandaroop Ray, and Kerry Key. "Two-dimensional Bayesian inversion of magnetotelluric data using trans-dimensional Gaussian processes." Geophysical Journal International 226, no. 1 (March 25, 2021): 548–63. http://dx.doi.org/10.1093/gji/ggab110.

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SUMMARY Bayesian inversion of electromagnetic data produces crucial uncertainty information on inferred subsurface resistivity. Due to their high computational cost, however, Bayesian inverse methods have largely been restricted to computationally expedient 1-D resistivity models. In this study, we successfully demonstrate, for the first time, a fully 2-D, trans-dimensional Bayesian inversion of magnetotelluric (MT) data. We render this problem tractable from a computational standpoint by using a stochastic interpolation algorithm known as a Gaussian process (GP) to achieve a parsimonious parametrization of the model vis-a-vis the dense parameter grids used in numerical forward modelling codes. The GP links a trans-dimensional, parallel tempered Markov chain Monte Carlo sampler, which explores the parsimonious model space, to MARE2DEM, an adaptive finite element forward solver. MARE2DEM computes the model response using a dense parameter mesh with resistivity assigned via the GP model. We demonstrate the new trans-dimensional GP sampler by inverting both synthetic and field MT data for 2-D models of electrical resistivity, with the field data example converging within 10 d on 148 cores, a non-negligible but tractable computational cost. For a field data inversion, our algorithm achieves a parameter reduction of over 32× compared to the fixed parameter grid used for the MARE2DEM regularized inversion. Resistivity probability distributions computed from the ensemble of models produced by the inversion yield credible intervals and interquartile plots that quantitatively show the non-linear 2-D uncertainty in model structure. This uncertainty could then be propagated to other physical properties that impact resistivity including bulk composition, porosity and pore-fluid content.

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Salheddine, Mezbache, Paquier André, and Hasbaia Mahmoud. "A coupled 1-D/2-D model for simulating river sediment transport and bed evolution." Journal of Hydroinformatics 22, no. 5 (June 23, 2020): 1122–37. http://dx.doi.org/10.2166/hydro.2020.020.

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Abstract The paper details the method to couple a 1-D hydro-sedimentary model to a 2-D hydro-sedimentary model in order to represent the hydrodynamics and morphological processes during a flood event along a river. Tested on two field cases, the coupled model is stable even in the case of generalized overflow over the riverbanks or of levee breaching. For lateral coupling, the coupled model allows saving computational time compared to a full 2-D model and to provide valuable results concerning the flooding features as well as the evolution of the bed topography. However, despite a similar simplified representation of the sediment features in the 1-D and 2-D models, some discrepancies appear in the case of upstream/downstream coupling along a cross section perpendicular to the flow direction because the assumption of homogeneous velocity and concentration is not valid for estimating sediment transport. Further research is necessary to be able to define a suitable distribution of the sediments on the 1-D side of the boundary between the two models.

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Yang, Gang, Ai Feng Zhang, Hai Bin Wang, and Peng Niu. "Postbuckling Analysis of Laminate with Delamination Based on the Improved Damage Model of 2-D." Key Engineering Materials 385-387 (July 2008): 253–56. http://dx.doi.org/10.4028/www.scientific.net/kem.385-387.253.

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The paper presents the compatibility relation of displacement, strain energy expression, and the formulations of Finite Element Method in the transitional region for the improved damage model of 2-D delamination[1]. The postbuckling behaviors of composite laminated plate with a circular delamination are analyzed. Results show that the model mainly improves computational results of energy release rates in the delamination front. The model should only be used in a narrow region near the crack-tip and the normal Mindlin model in other regions. It leads to little increase in the amount of computation, but significant improvement in the results.

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Robertsson, Johan O. A., and Chris H. Chapman. "An efficient method for calculating finite‐difference seismograms after model alterations." GEOPHYSICS 65, no. 3 (May 2000): 907–18. http://dx.doi.org/10.1190/1.1444787.

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Seismic modeling, processing, and inversion often require the calculation of the seismic response resulting from a suite of closely related seismic models. Even though changes to the model may be restricted to a small subvolume, we need to perform simulations for the full model. We present a new finite‐difference method that circumvents the need to resimulate the complete model for local changes. By requiring only calculations in the subvolume and its neighborhood, our method makes possible significant reductions in computational cost and memory requirements. In general, each source/receiver location requires one full simulation on the complete model. Following these pre‐computations, recalculation of the altered wavefield can be limited to the region around the subvolume and its neighborhood. We apply our method to a 2-D time‐lapse seismic problem, thereby achieving a factor of 15 reduction in computational cost. Potential savings for 3-D are far greater.

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Suresh, Krishnan, and Murari Sinha. "A 2-D model that accounts for 3-D fringing in MEMS devices." Engineering Analysis with Boundary Elements 30, no. 11 (November 2006): 963–70. http://dx.doi.org/10.1016/j.enganabound.2006.07.007.

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Jouzdani, Anahita, and Abdorreza Kabiri-Samani. "Investigations of the Difference in Dam Break Modeling Approaches between 1-D and 2-D Hydrodynamic Model." Applied Mechanics and Materials 90-93 (September 2011): 2423–26. http://dx.doi.org/10.4028/www.scientific.net/amm.90-93.2423.

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There are different numerical models performed on hydrodynamic behavior of dam break flood in canals and floodplains based on 1D and 2D modeling approaches. In recognition of increasing demand to precise modeling of dam break flood, and due to the limited instructions to choose the best computational model, this article appraises the difference between 1D and 2D modeling of the phenomenon based on the logical comparison of the results. For this purpose the Zayandeh-Rood dam in Iran was used as the case study and MIKE11 and MIKE21 are used for numerical exploration of the problem. The reliability of each approach is assessed and the applicability of each method for exact analyzing the dam break phenomena was demonstrated.

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Palm, Bruna G., Fábio M. Bayer, and Renato J. Cintra. "2-D Rayleigh autoregressive moving average model for SAR image modeling." Computational Statistics & Data Analysis 171 (July 2022): 107453. http://dx.doi.org/10.1016/j.csda.2022.107453.

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Vyas, Siddharth, Vladimir Genis, and Gary Friedman. "Computational Study of Kinematics of Capture of Magnetic Particles by Stent: 2-D Model." IEEE Transactions on Magnetics 52, no. 7 (July 2016): 1–4. http://dx.doi.org/10.1109/tmag.2015.2512537.

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Dissertations / Theses on the topic "2-D computational model"

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Waindim, Mbu. "On Unsteadiness in 2-D and 3-D Shock Wave/Turbulent Boundary Layer Interactions." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1511734224701396.

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Cass, Todd A. "Robust 2-D Model-Based Object Recognition." 1988. http://hdl.handle.net/1721.1/6823.

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Techniques, suitable for parallel implementation, for robust 2D model-based object recognition in the presence of sensor error are studied. Models and scene data are represented as local geometric features and robust hypothesis of feature matchings and transformations is considered. Bounds on the error in the image feature geometry are assumed constraining possible matchings and transformations. Transformation sampling is introduced as a simple, robust, polynomial-time, and highly parallel method of searching the space of transformations to hypothesize feature matchings. Key to the approach is that error in image feature measurement is explicitly accounted for. A Connection Machine implementation and experiments on real images are presented.

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Dediyagala, Nithila. "Optical Fibre Bragg Grating Analysis Through FEA and its Application to Pressure Sensing." Thesis, 2019. https://vuir.vu.edu.au/39484/.

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The focus of this thesis is developing optical fibre Bragg grating (FBG) pressure sensors with enhanced sensitivity for use in a low (gauge) pressure range (0 - 50 kPa) together with understanding observed non-linear behaviour. To appreciate the behaviour of FBG sensor spectra, it is necessary to understand geometrical and material properties of FBGs. The thesis is an in-depth investigation of the behaviour of FBGs including their manufacturing and fabrication process details. A new computational approach has been introduced to simulate FBG structures based on how the FBG fabrication process produces changes in refractive index. There are various numerical analysis methods existing for analysing fibre Bragg grating structures and their spectral properties. Although computation design and simulations are used extensively in engineering problems, current computational approaches do not combine FBGs formation and their resultant spectra. In this study, this has been addressed by developing a simple Finite Element Analysis (2-D) model using the Wave Optics module in COMSOL Multiphysics simulation software. The 2-D model was developed considering the phase mask method commonly used to fabricate FBGs. It simulates a complex grating structure which is useful for manufacturers and researchers. The 2-D model then creates a unit cell of a grating structure which is able to be implemented within an optical fibre. The model allows users to decide the length of the grating by selecting the number of unit cells required. By changing the geometrical parameter of a unit cell of the 2-D phase mask structure, it was possible to demonstrate formation of complex grating structures. There have been many studies reported for ideal gratings; however, much less attention and research has been given to the spectra produced by these complex FBG structures. Therefore, this study specially focuses on complex grating structures and their spectral behaviour. The developed 2-D model successfully reproduced observed complex grating structures arising with the use of multiple phase masks orders, with theoretically acceptable results for the spectrum produced. Furthermore, the 2-D model of the phase-mask method was also able to produce tilted gratings by changing the incident angle of light on the phase mask. Therefore, this FEA approach provides insight into not only complex FBG structures but also tilted FBGs using a simple computational tool which will be useful in further research to understand the behaviour of a variety of FBG structures. For this study, material properties of standard single mode fibre (SMF-28) was considered. However, the model is able to simulate any optical fibre used in FBG fabrication by changing the material properties. The thesis also considers the understanding of FBG pressure sensors and observed non-linear behaviour. Therefore, a thorough literature review was carried out to find the influence of structural and material properties of optical fibres and FBGs which is believed to be the cause of non-linear behaviour. It investigates in depth the birefringence effect on fibres due to point load and distributed load on FBGs using the Structural Mechanics and Wave Optics module in COMSOL software. Many research studies have employed a plane strain assumption for structural mechanics problems; however, they do not clearly explain the true nature of FBGs under stress generalized strain. This study overcomes that problem by introducing proper mathematical equations to develop 3-D behaviour in a 2-D computational model. The behaviour of a distributed load on FBGs was discussed in detail with the help of the computational model. It provides new information about an asymmetric peak produced as a result of birefringence effects. The research proposes a new FBG uniform pressure sensor using a 2-D computational model. It was designed in simulation by adding a polymer material to the cladding of an SMF-28 by reducing the cladding diameter. In this study, polymers of PDMS and PTFE were chosen to further investigate the pressure enhancement in the suggested pressure range. The results show similar pressure sensitivity for both materials. Both materials are highly capable of enhancing pressure sensitivity in the range of 0 – 50 kPa. The suggested pressure range is most suitable for biomedical application. The positive results of the current study lend credibility for using the envisaged sensor for commercial use.

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Shao, Songdong, and C. Ji. "SPH computation of plunging waves using a 2-D sub-particle scale (SPS) turbulence model." 2006. http://hdl.handle.net/10454/3864.

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No
The paper presents a 2-D large eddy simulation (LES) modelling approach to investigate the properties of the plunging waves. The numerical model is based on the smoothed particle hydrodynamics (SPH) method. SPH is a mesh-free Lagrangian particle approach which is capable of tracking the free surfaces of large deformation in an easy and accurate way. The Smagorinsky model is used as the turbulence model due to its simplicity and effectiveness. The proposed 2-D SPH-LES model is applied to a cnoidal wave breaking and plunging over a mild slope. The computations are in good agreement with the documented data. Especially the computed turbulence quantities under the breaking waves agree better with the experiments as compared with the numerical results obtained by using the k- model. The sensitivity analyses of the SPH-LES computations indicate that both the turbulence model and the spatial resolution play an important role in the model predictions and the contributions from the sub-particle scale (SPS) turbulence decrease with the particle size refinement.

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Books on the topic "2-D computational model"

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Epstein, Joshua M. Agent-Based Computational Model. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691158884.003.0003.

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This part describes the agent-based and computational model for Agent_Zero and demonstrates its capacity for generative minimalism. It first explains the replicability of the model before offering an interpretation of the model by imagining a guerilla war like Vietnam, Afghanistan, or Iraq, where events transpire on a 2-D population of contiguous yellow patches. Each patch is occupied by a single stationary indigenous agent, which has two possible states: inactive and active. The discussion then turns to Agent_Zero's affective component and an elementary type of bounded rationality, as well as its social component, with particular emphasis on disposition, action, and pseudocode. Computational parables are then presented, including a parable relating to the slaughter of innocents through dispositional contagion. This part also shows how the model can capture three spatially explicit examples in which affect and probability change on different time scales.

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Book chapters on the topic "2-D computational model"

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Yu, Tiantang, and Qingwen Ren. "A 2-D Natural Element Model for Jointed Rock Masses." In Computational Methods in Engineering & Science, 292. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-48260-4_138.

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Osokin, Anton, Dmitry Vetrov, and Dmitry Kropotov. "3-D Mouse Brain Model Reconstruction from a Sequence of 2-D Slices in Application to Allen Brain Atlas." In Computational Intelligence Methods for Bioinformatics and Biostatistics, 291–303. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14571-1_22.

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Smith, Elizabeth, Bassam Dally, and Graham Nathan. "Development of a Simple 2-D Steady State Model of the Flow from a Precessing Jet Nozzle." In Computational Fluid Dynamics 2002, 781–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-59334-5_124.

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Wang, Lei, Jianjiang Feng, Cheng Jin, Jiwen Lu, and Jie Zhou. "Left Atrial Appendage Segmentation Based on Ranking 2-D Segmentation Proposals." In Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 21–29. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52718-5_3.

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Sharma, Kuldeep, and Sandeep Singh. "Numerical Studies of Some Modified Polarization Saturation Models in 2-D Semipermeable Piezoelectric Media Using Distributed Dislocation Method." In Proceedings of the International Conference on Advances in Computational Mechanics 2017, 79–94. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7149-2_6.

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"2-D numerical models." In Computational River Dynamics, 241–87. CRC Press, 2007. http://dx.doi.org/10.4324/9780203938485-7.

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Rincón-Casado, Alejandro, and Francisco José Sánchez de la Flor. "A New Forced Convection Heat Transfer Correlation for 2D Enclosures." In Applications of Computational Fluid Dynamics Simulation and Modeling. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.99375.

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This work presents a new parametric correlation for 2D enclosures with forced convection obtained from CFD simulation. The convective heat transfer coefficient of walls for enclosures depends on the geometry of the enclosure and the inlet and outlet openings, the velocity and the air to wall temperature difference. However, current correlations not dependent on the above parameters, especially the position of the inlet and outlet, or the temperature difference between the walls. In this work a new correlation of the average Nusselt number for each wall of the enclosure has been developed as a function of geometrical, hydrodynamic and thermal variables. These correlations have been obtained running a set of CFD simulations of a 3 m high sample enclosure with an inlet and outlet located at opposite walls. The varying parameters were: a) the aspect-ratio of the enclosure (L/H = 0.5 to 2), b) the size of the inlet and outlet (0.05 m to 2 m), c) the inlet and outlet relative height (0 m to 3 m high), and d) the Reynolds number (Rein = 103 to 105). Furthermore, a parametric analysis has been performed changing the temperature boundary conditions at the internal wall and founds a novel correlation function that relates different temperatures at each wall. A specifically developed numerical model based on the SIMPLER algorithm is used for the solution of the Navier–Stokes equations. The realisable turbulence k-ε model, and an enhanced wall-function treatment have been used. The heat transfer rate results obtained are expressed through dimensionless correlation-equations. All developed correlations have been compared with CFD simulations test cases obtaining a R2 = 0.98. This new correlation function could be used in building energy models to enhance accuracy of HVAC demands calculation and estimate the thermal load.

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V. Hromadka II, Theodore, and Prasada Rao. "Examination of Hydrologic Computer Programs DHM and EDHM." In Hydrology [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94283.

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The Diffusion Hydrodynamic Model or DHM is a coupled one- and two-dimensional (2-D) surface flow model based upon a diffusion formulation of the well-known Navier–Stokes equations, developed by research hydrologists of the USGS (United States Geological Survey) for use in modeling floodplains and dam-break situations. The Fortran 77 source code and various applications were published in 1987 by the USGS as a Technical Report authored by Hromadka and Yen. The DHM program led to the development of several subsequent computational programs such as the FLO-2D computational model and other similar programs. The original DHM program had a limit of applications to problems with no more than 250 nodes and modeling grids. That limitation was recently removed by a program version named EDHM (Extended DHM), which provides for 9999 nodes and grids. However, the computational code is preserved in order that the baseline code algorithmic procedures are untouched. In this paper, the DHM and EDHM are rigorously compared and examined to identify any variations between the two Fortran codes. It is concluded from this investigation that the two sets of algorithm codes are identical, and outcomes from either program are similar for appropriately sized applications.

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Toma, Rafia Nishat, Yangde Gao, and Jong-Myon Kim. "Data-Driven Fault Classification of Induction Motor Based on Recurrence Plot and Deep Convolution Neural Network." In Machine Learning and Artificial Intelligence. IOS Press, 2022. http://dx.doi.org/10.3233/faia220425.

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Condition monitoring becomes an integral part of the industrial manufacturing system to ensure a safe working environment and reduce the cost of maintenance. Involving deep learning techniques in fault diagnosis methods not only increases the accuracy and reliability of the system but also reduces the operation time and hassle of the manual feature extraction process. In this paper, a complete framework for fault classification is introduced by using the vibration signals of bearings containing normal and faulty conditions. Firstly, the frequency spectrums of the time-series signals are generated with FFT and transformed the 1-D signal into 2-D images with the recurrence plots (RP) algorithm. Finally, a deep CNN model is designed to classify the bearing conditions with the extracted high-level features from the RP-based image dataset. The images show a distinct pattern in every bearing condition and the CNN model can achieve 99.24% accuracy to classify three different bearing conditions. The image classification-based fault diagnosis approach is automated and eliminates the disadvantages of the manual feature extraction process. The generated images with RP were also trained with three predefined CNN models to verify the effectiveness of the fault patterns. Finally, the comparative analysis demonstrates that the proposed method outperforms other researchers’ approaches both in terms of classification accuracy and computational cost.

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Lin, Shaorun, Siyan Wang, Yanhui Liu, Xinyan Huang, and Michael J. Gollner. "Will Concentrated Sunlight Ignite a Wildfire?" In Advances in Forest Fire Research 2022, 822–29. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_125.

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Concentrated sunlight is a potential ignition source of wildfires, but its ignition mechanism is still poorly understood. Herein, we study the smoldering ignition of tissue paper (a common fuel that was abandoned by human in wildland) by a concentrated sunlight spot with heat fluxes up to 780 kW/m2, which is focused by a transparent glass sphere. The diameter of the sunlight spot on the paper sample ranges from 1.5 to 20.0 mm by varying the paper position within the focal length, where a smaller spot has a larger intensity of sunlight irradiation. We found that the concentrated sunlight can easily ignite the tissue paper. The measured minimum spot irradiation for smoldering ignition is not a constant but is much higher than 11 kW/m2 measured in a traditional cone-calorimeter test. As the diameter of the irradiation spot decreases from 20 to 1.5 mm, the minimum irradiation for smoldering ignition increases from 17.5 to 205 kW/m2. A 2-D computational model was successfully applied to reproduce the experimental observations and validate the results. This work ultimately quantifies the potential fire risk from concentrated sunlight spots and helps elucidate the underlying mechanisms leading to smoldering ignition.

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Conference papers on the topic "2-D computational model"

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Lee, Semin, Soo Hyung Park, Donghun Lee, M. A. Wahid, S. Samion, N. A. C. Sidik, and J. M. Sheriff. "Numerical Simulation of Slinger Combustor Using 2-D Axisymmetric Computational Model." In THE 10TH ASIAN INTERNATIONAL CONFERENCE ON FLUID MACHINERY. AIP, 2010. http://dx.doi.org/10.1063/1.3464947.

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Sayeh, M. R., M. Daneshdoost, and F. Pourboghrat. "A Computational Model For Sensing Depth From A Single 2-D Image." In Robotics and IECON '87 Conferences, edited by Donald J. Svetkoff. SPIE, 1988. http://dx.doi.org/10.1117/12.942869.

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Wirz, Richard, and Ira Katz. "A Preliminary 2-D Computational Model of an Ion Thruster Discharge Chamber." In 39th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/6.2003-5163.

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Zhang, Li, Lin Li, and Hui Gao. "2-D Software Quality Model and Case Study in Software Flexibility Research." In 2008 International Conference on Computational Intelligence for Modelling Control & Automation. IEEE, 2008. http://dx.doi.org/10.1109/cimca.2008.70.

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Gudelek, M. Ugur, S. Arda Boluk, and A. Murat Ozbayoglu. "A deep learning based stock trading model with 2-D CNN trend detection." In 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2017. http://dx.doi.org/10.1109/ssci.2017.8285188.

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Alam, M. S., Liang Cheng, Jane W. Z. Lu, Andrew Y. T. Leung, Vai Pan Iu, and Kai Meng Mok. "A 2-D Model to Predict Time Development of Scour below Pipelines with Spoiler." In PROCEEDINGS OF THE 2ND INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL MECHANICS AND THE 12TH INTERNATIONAL CONFERENCE ON THE ENHANCEMENT AND PROMOTION OF COMPUTATIONAL METHODS IN ENGINEERING AND SCIENCE. AIP, 2010. http://dx.doi.org/10.1063/1.3452316.

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Bouda, B., Lh Masmoudi, B. Chaouki, and D. Aboutajdine. "Estimation of Motion Parameters Using 2-D Lines without Correspondences Based on Virtual Electric Potential Model." In 2007 International Symposium on Computational Intelligence and Intelligent Informatics. IEEE, 2007. http://dx.doi.org/10.1109/isciii.2007.367359.

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Opris, Cornelius N., and John H. Johnson. "A 2-D Computational Model Describing the Flow and Filtration Characteristics of a Ceramic Diesel Particulate Trap." In International Congress & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1998. http://dx.doi.org/10.4271/980545.

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de M., Cavalcante, Túlio, Angelim, Kelly C. L., Brum, Braian S., Contreras, Fernando R. L., Lyra, Paulo R. M., and Carvalho, Darlan K. E. "A MPFA-D Finite Volume Scheme for 2-D Simulation of Two-Phase Flow in Naturally Fractured Reservoirs Using a Lower-Dimensional Fracture Model." In XXXVIII Iberian-Latin American Congress on Computational Methods in Engineering. Florianopolis, Brazil: ABMEC Brazilian Association of Computational Methods in Engineering, 2017. http://dx.doi.org/10.20906/cps/cilamce2017-0674.

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Chima, R. V. "Computational Modeling of Vortex Generators for Turbomachinery." In ASME Turbo Expo 2002: Power for Land, Sea, and Air. ASMEDC, 2002. http://dx.doi.org/10.1115/gt2002-30677.

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In this work computational models were developed and used to investigate applications of vortex generators (VGs) to turbomachinery. The work was aimed at increasing the efficiency of compressor components designed for the NASA Ultra Efficient Engine Technology (UEET) program. Initial calculations were used to investigate the physical behavior of VGs. A parametric study of the effects of VG height was done using 3-D calculations of isolated VGs. A body force model was developed to simulate the effects of VGs without requiring complicated grids. The model was calibrated using 2-D calculations of the VG vanes and was validated using the 3-D results. Then three applications of VGs to a compressor rotor and stator were investigated: 1. The results of the 3-D calculations were used to simulate the use of small casing VGs used to generate rotor preswirl or counterswirl. Computed performance maps were used to evaluate the effects of VGs. 2. The body force model was used to simulate large partspan splitters on the casing ahead of the stator. Computed loss buckets showed the effects of the VGs. 3. The body force model was also used to investigate the use of tiny VGs on the stator suction surface for controlling secondary flows. Near-surface particle traces and exit loss profiles were used to evaluate the effects of the VGs.

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