Relevant bibliographies by topics / Lagrangian particle tracking

Academic literature on the topic 'Lagrangian particle tracking'

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Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Lagrangian particle tracking"

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Jones, Benjamin T., Andrew Solow, and Rubao Ji. "Resource Allocation for Lagrangian Tracking." Journal of Atmospheric and Oceanic Technology 33, no. 6 (June 2016): 1225–35. http://dx.doi.org/10.1175/jtech-d-15-0115.1.

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AbstractAccurate estimation of the transport probabilities among regions in the ocean provides valuable information for understanding plankton transport, the spread of pollutants, and the movement of water masses. Individual-based particle-tracking models simulate a large ensemble of Lagrangian particles and are a common method to estimate these transport probabilities. Simulating a large ensemble of Lagrangian particles is computationally expensive, and appropriately allocating resources can reduce the cost of this method. Two universal questions in the design of studies that use Lagrangian particle tracking are how many particles to release and how to distribute particle releases. A method is presented for tailoring the number and the release location of particles to most effectively achieve the objectives of a study. The method detailed here is a sequential analysis procedure that seeks to minimize the number of particles that are required to satisfy a predefined metric of result quality. The study assesses the result quality as the precision of the estimates for the elements of a transport matrix and also describes how the method may be extended for use with other metrics. Applying this methodology to both a theoretical system and a particle transport model of the Gulf of Maine results in more precise estimates of the transport probabilities with fewer particles than from uniformly or randomly distributing particle releases. The application of this method can help reduce the cost of and increase the robustness of results from studies that use Lagrangian particles.
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Zhao, Bin, Chun Chen, and Alvin C. K. Lai. "Lagrangian Stochastic Particle Tracking: Further Discussion." Aerosol Science and Technology 45, no. 8 (August 2011): 901–2. http://dx.doi.org/10.1080/02786826.2011.570382.

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Heus, Thijs, Gertjan van Dijk, Harm J. J. Jonker, and Harry E. A. Van den Akker. "Mixing in Shallow Cumulus Clouds Studied by Lagrangian Particle Tracking." Journal of the Atmospheric Sciences 65, no. 8 (August 1, 2008): 2581–97. http://dx.doi.org/10.1175/2008jas2572.1.

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Abstract Mixing between shallow cumulus clouds and their environment is studied using large-eddy simulations. The origin of in-cloud air is studied by two distinct methods: 1) by analyzing conserved variable mixing diagrams (Paluch diagrams) and 2) by tracing back cloud-air parcels represented by massless Lagrangian particles that follow the flow. The obtained Paluch diagrams are found to be similar to many results in the literature, but the source of entrained air found by particle tracking deviates from the source inferred from the Paluch analysis. Whereas the classical Paluch analysis seems to provide some evidence for cloud-top mixing, particle tracking shows that virtually all mixing occurs laterally. Particle trajectories averaged over the entire cloud ensemble also clearly indicate the absence of significant cloud-top mixing in shallow cumulus clouds.
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Shaffer, Franklin, Eric Ibarra, and Ömer Savaş. "Visualization of submerged turbulent jets using particle tracking velocimetry." Journal of Visualization 24, no. 4 (February 15, 2021): 699–710. http://dx.doi.org/10.1007/s12650-021-00744-4.

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Abstract Over the past few decades, advances have been made in using particle image velocimetry (PIV) and particle tracking velocimetry (PTV) for mapping of Lagrangian velocity and acceleration flow fields. With PIV, Lagrangian trajectories are not measured directly; rather, hypothetical trajectories must be constructed from sequences of Eulerian velocity snapshots. Because PTV directly measures actual trajectories, it provides distinct advantages over PIV, especially for trajectories with abrupt changes in direction. In this work, a novel particle tracking algorithm is described, then applied to track trajectories of tracer particles in submerged turbulent jets. The Reynolds numbers ranged from 1000 to 25,000, thereby covering laminar, transitioning-to-turbulence, and fully turbulent flow regimes. The novel particle tracking algorithm is designed to handle flows with very high particle concentrations, thereby resolving small-scale flow structures. Trajectories are tracked with high velocity gradients, sharp curvatures, cycloids, abrupt changes in direction, and strong recirculation—all of which are inaccessible via construction from PIV sequences. Most trajectories measured in this work are at least 500 camera frames (time steps) long, with many being more than 3000 frames long. Graphic abstract
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Kemp, L., Elizabeth C. Jamieson, and S. J. Gaskin. "Phosphorescent tracer particles for Lagrangian flow measurement and particle tracking velocimetry." Experiments in Fluids 48, no. 5 (January 20, 2010): 927–31. http://dx.doi.org/10.1007/s00348-009-0818-z.

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Tambasco, Mauro, and David A. Steinman. "On Assessing the Quality of Particle Tracking Through Computational Fluid Dynamic Models." Journal of Biomechanical Engineering 124, no. 2 (March 29, 2002): 166–75. http://dx.doi.org/10.1115/1.1449489.

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Quantification of particle deposition patterns, transit times, and shear exposure is important for computational fluid dynamic (CFD) studies involving respiratory and arterial models. To numerically compute such path-dependent quantities, it is necessary to employ a Lagrangian approach where particles are tracked through a pre-computed velocity field. However, it is difficult to determine in advance whether a particular velocity field is sufficiently resolved for the purposes of tracking particles accurately. Towards this end, we propose the use of volumetric residence time (VRT)—previously defined for 2-D studies of platelet activation and here extended to more physiologically relevant 3-D models—as a means of quantifying whether a volume of Lagrangian fluid elements (LFE’s) seeded uniformly and contiguously at the model inlet remains uniform throughout the flow domain. Such “Lagrangian mass conservation” is shown to be satisfied when VRT=1 throughout the model domain. To demonstrate this novel concept, we computed maps of VRT and particle deposition in 3-D steady flow models of a stenosed carotid bifurcation constructed with one adaptively refined and three nominally uniform finite element meshes of increasing element density. A key finding was that uniform VRT could not be achieved for even the most resolved meshes and densest LFE seeding, suggesting that care should be taken when extracting quantitative information about path-dependent quantities. The VRT maps were found to be useful for identifying regions of a mesh that were under-resolved for such Lagrangian studies, and for guiding the construction of more adequately resolved meshes.
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Nikolić, Srđan, Nenad Stevanović, and Miloš Ivanović. "Optimizing parallel particle tracking in Brownian motion using machine learning." International Journal of High Performance Computing Applications 34, no. 5 (June 25, 2020): 532–46. http://dx.doi.org/10.1177/1094342020936019.

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In this paper, we present a generic, scalable and adaptive load balancing parallel Lagrangian particle tracking approach in Wiener type processes such as Brownian motion. The approach is particularly suitable in problems involving particles with highly variable computation time, like deposition on boundaries that may include decay, when particle lifetime obeys exponential distribution. At first glance, Lagranginan tracking is highly suitable for a distributed programming model due to the independence of motion of separate particles. However, the commonly employed Decomposition Per Particle (DPP) method, where each process is in charge of a certain number of particles, actually displays poor parallel efficiency due to the high particle lifetime variability when dealing with a wide set of deposition problems that optionally include decay. The proposed method removes DPP defects and brings a novel approach to discrete particle tracking. The algorithm introduces master/slave model dubbed Partial Trajectory Decomposition (PTD), in which a certain number of processes produce partial trajectories and put them into the shared queue, while the remaining processes simulate actual particle motion using previously generated partial trajectories. Our approach also introduces meta-heuristics for determining the optimal values of partial trajectory length, chunk size and the number of processes acting as producers/consumers, for the given total number of participating processes (Optimized Partial Trajectory Decomposition, OPTD). The optimization process employs a surrogate model to estimate the simulation time. The surrogate is based on historical data and uses a coupled machine learning model, consisting of classification and regression phases. OPTD was implemented in C, using standard MPI for message passing and benchmarked on a model of 220 Rn progeny in the diffusion chamber, where particle motion is characterized by an exponential lifetime distribution and Maxwell velocity distribution. The speedup improvement of OPTD is approximatelly 320% over standard DPP, reaching almost ideal speedup on up to 256 CPUs.
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Arroyo-Chávez, Griselda, and Enrique Vázquez-Semadeni. "Evolution of the Angular Momentum during Gravitational Fragmentation of Molecular Clouds*." Astrophysical Journal 925, no. 1 (January 1, 2022): 78. http://dx.doi.org/10.3847/1538-4357/ac3915.

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Abstract We investigate the origin of the observed scaling j ∼ R 3/2 between the specific angular momentum j and the radius R of molecular clouds (MCs) and their their substructures, and of the observed near independence of β, the ratio of rotational to gravitational energy, from R. To this end, we measure the angular momentum (AM) of “Lagrangian” particle sets in a smoothed particle hydrodynamics (SPH) simulation of the formation, collapse, and fragmentation of giant MCs. The Lagrangian sets are initially defined as connected particle sets above a certain density threshold at a certain time t def, and then the same set of SPH particles is followed either forward or backward in time. We find the following. (i) The Lagrangian particle sets evolve along the observed j–R relation when the volume containing them also contains a large number of other “intruder” particles. Otherwise, they evolve with j ∼ cst. (ii) Tracking Lagrangian sets to the future, we find that a subset of the SPH particles participates in the collapse, while the rest disperses away. (iii) These results suggest that the Lagrangian sets of fluid particles exchange their AM with other neighboring fluid particles via turbulent viscosity. (iv) We conclude that the j–R relation arises from a global tendency toward gravitational contraction, mediated by AM loss via turbulent viscosity, which induces fragmentation into dense, low-AM clumps, and diffuse, high-AM envelopes, which disperse away, limiting the mass efficiency of the fragmentation.
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Chan, S. N., and J. H. W. Lee. "Particle tracking modeling of sediment-laden jets." Advances in Geosciences 39 (June 27, 2014): 107–14. http://dx.doi.org/10.5194/adgeo-39-107-2014.

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Abstract. This paper presents a general model to predict the particulate transport and deposition from a sediment-laden horizontal momentum jet. A three-dimensional (3-D) stochastic particle tracking model is developed based on the governing equation of particle motion. The turbulent velocity fluctuations are modelled by a Lagrangian velocity autocorrelation function that captures the trapping of sediment particles in turbulent eddies, which result in the reduction of settling velocity. Using classical solutions of mean jet velocity, and turbulent fluctuation and dissipation rate profiles derived from computational fluid dynamics calculations of a pure jet, the equation of motion is solved numerically to track the particle movement in the jet flow field. The 3-D particle tracking model predictions of sediment deposition and concentration profiles are in excellent agreement with measured data. The computationally demanding Basset history force is shown to be negligible in the prediction of bottom deposition profiles.
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Vennell, Ross, Max Scheel, Simon Weppe, Ben Knight, and Malcolm Smeaton. "Fast lagrangian particle tracking in unstructured ocean model grids." Ocean Dynamics 71, no. 4 (February 22, 2021): 423–37. http://dx.doi.org/10.1007/s10236-020-01436-7.

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Dissertations / Theses on the topic "Lagrangian particle tracking"

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Elmasdotter, Ajla. "An Interactive Eye-tracking based Adaptive Lagrangian Water Simulation Using Smoothed Particle Hydrodynamics." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281978.

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Many water animations and simulations usually depend on time consuming algorithms that create realistic water movement and visualization. However, the intrigue for realistic, real-time and interactive simulations is steadily growing for, among others, the game and Virtual Reality industry. A common method used for particle based water simulations is the Smoothed Particle Hydrodynamics, which also allows for refinement and adaptivity that focuses the computational power on the parts of the simulation that require it the most. This study suggests an eye-tracking based adaptive method for water simulations using Smoothed Particle Hydrodynamics, which is based on where a user is looking, with the assumption that what a user cannot see nor perceive is not of a greater importance. Its performance is evaluated by comparing the suggested method to a surface based adaptive method, by measuring frames per second, the amount of particles in the simulation, and the execution time . It is concluded that the eye-tracking based adaptive method performs better than the surface based adaptive method in four out of five scenarios and should hence be considered a method to further evaluate and possibly use when creating applications or simulations requiring real-time water simulations, with the restriction that eye-tracking hardware would be necessary for the method to work.
Flertalet vattensimuleringar samt animeringar brukar ofta vara beroende av tidskrävande algoritmer som skapar realistiskt utséende och realistiska rörelser. Däremot har intresset för realistiska, interaktiva realtidssimuleringar och liknande applikationer börjat växa inom, bland annat, spel- och virtual-realityindustrin. Smoothed Particle Hydrodynamics är en vanlig metod som används inom partikelbaserade vattensimuleringar, som även tillåter adaptivitet vilket fokuserar resurserna i datorn på de delar av simuleringen som kräver dem mest. Denna studie föreslår en eye-trackingbaserad adaptiv metod för vattensimuleringar som använder sig av Smoothed Particle Hydrodynamics, som fokuserar adaptiviteten där användaren tittar i simuleringen med antagandet att det en användare inte kan uppfatta eller se inte är av relevans. Metodens prestanda evalueras genom jämförelse mot en adaptiv method som fokuserar adaptiviteten på vattnets yta och objekt runt vattnet, genom att mäta antalet renderade bilder per sekund, antalet partiklar i simulationen, samt exikveringstiden. Slutsatsen är att den eye-trackingbaserade adaptiva metoden presterar bättre än metoden som fokuserar adaptiviteten på vattnets yta i fyra av fem scenarion, och bör därför ses som en metod som har potential att utforskas vidare samt en metod som kan användas vi realtidssimuleringar av vatten, med begränsningen att hårdvara för eye-tracking behövs.
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Huck, Peter Dearborn. "Particle dynamics in turbulence : from the role of inhomogeneity and anisotropy to collective effects." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEN073/document.

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La turbulence est connue pour sa capacité à disperser efficacement de la matière, que ce soit des polluantes dans les océans ou du carburant dans les moteurs à combustion. Deux considérations essentielles s’imposent lorsqu’on considère de telles situations. Primo, l’écoulement sous-jacente pourrait avoir une influence non-négligeable sur le comportement des particules. Secundo, la concentration locale de la matière pourrait empêcher le transport ou l’augmenter. Pour répondre à ces deux problématiques distinctes, deux dispositifs expérimentaux ont été étudiés au cours de cette thèse. Un premier dispositif a été mis en place pour étudier l’écoulement de von Kàrmàn, qui consiste en une enceinte fermé avec de l’eau forcé par deux disques en contra-rotation. Cette écoulement est connu pour être très turbulent, inhomogène, et anisotrope. Deux caméras rapides ont facilité le suivi Lagrangien des particules isodenses avec l’eau et petites par rapport aux échelles de la turbulence. Ceci a permis une étude du bilan d’énergie cinétique turbulente qui est directement relié aux propriétés de transport. Des particules plus lourdes que l’eau ont aussi été étudiées et montrent le rôle de l’anisotropie de l’écoulement dans la dispersion des particules inertielles. Un deuxième dispositif, un écoulement de soufflerie ensemencé avec des gouttelettes d’eau micrométriques a permis une étude de l’effet de la concentration locale de l’eau sur la vitesse de chute des gouttelettes grâce à une montage préexistant. Un modèle basé sur des méthodes théorique d'écoulements multiphasiques a été élaboré enfin de prendre en compte les effets collectifs de ces particules sedimentant dans un écoulement turbulent. Les résultats théoriques et expérimentaux mettent en évidence le rôle de la polydispersité et du couplage entre les deux phases dans l’augmentation de la sédimentation des gouttelettes
Turbulence is well known for its ability to efficiently disperse matter, whether it be atmospheric pollutants or gasoline in combustion motors. Two considerations are fundamental when considering such situations. First, the underlying flow may have a strong influence of the behavior of the dispersed particles. Second, the local concentration of particles may enhance or impede the transport properties of turbulence. This dissertation addresses these points separately through the experimental study of two different turbulent flows. The first experimental device used is the so-called von K\'arm\'an flow which consists of an enclosed vessel filled with water that is forced by two counter rotating disks creating a strongly inhomogeneous and anisotropic turbulence. Two high-speed cameras permitted the creation a trajectory data base particles that were both isodense and heavier than water but were smaller than the smallest turbulent scales. The trajectories of this data base permitted a study of the turbulent kinetic energy budget which was shown to directly related to the transport properties of the turbulent flow. The heavy particles illustrate the role of flow anisotropy in the dispersive dynamics of particles dominated by effects related to their inertia. The second flow studied was a wind tunnel seeded with micrometer sized water droplets which was used to study the effects of local concentration of the settling velocities of these particles. A model based on theoretical multi-phase methods was developed in order to take into account the role of collective effects on sedimentation in a turbulent flow. The theoretical results emphasize the role of coupling between the underlying flow and the dispersed phase
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Heide, Jakob. "Numerical analysis of Urea-SCR sprays under cross-flow conditions." Thesis, KTH, Mekanik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-194497.

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The mixing and evaporation of Diesel Exhaust Fluid (DEF) inside an Urea Selective Catalyst Reduction (SCR) chamber has been numerically investigated. The first task in this work has been to first look into the numerical framework and assess the models available in a commercial CFD software (ANSYS Fluent 14.5). Secondly the knowledge inherited from the model sensitivity analysis will be applied on the practical case of an Urea-SCR mixing chamber. Mass flow rate and temperature effects of the exhaust gas on the mixing and evaporation of the DEF spray has been investigated. The results indicate that evaporation rates inside the mixing chamber are dependent on the mass flow rate of the exhaust gas but not on the temperature due to compressibility effects of the exhaust gas. For a constant mass flow rate an increase in temperature decreases the residence time of droplets (due to compressibility) with a similar order of magnitude as the individual droplet evaporation rate increases (due to higher temperature) thus the two effects balances each other. The results could potentially contribute to the development and optimization of current SCR systems.
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Szwaykowska, Klementyna. "Controlled Lagrangian particle tracking: analyzing the predictability of trajectories of autonomous agents in ocean flows." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50357.

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Use of model-based path planning and navigation is a common strategy in mobile robotics. However, navigation performance may degrade in complex, time-varying environments under model uncertainty because of loss of prediction ability for the robot state over time. Exploration and monitoring of ocean regions using autonomous marine robots is a prime example of an application where use of environmental models can have great benefits in navigation capability. Yet, in spite of recent improvements in ocean modeling, errors in model-based flow forecasts can still significantly affect the accuracy of predictions of robot positions over time, leading to impaired path-following performance. In developing new autonomous navigation strategies, it is important to have a quantitative understanding of error in predicted robot position under different flow conditions and control strategies. The main contributions of this thesis include development of an analytical model for the growth of error in predicted robot position over time and theoretical derivation of bounds on the error growth, where error can be attributed to drift caused by unmodeled components of ocean flow. Unlike most previous works, this work explicitly includes spatial structure of unmodeled flow components in the proposed error growth model. It is shown that, for a robot operating under flow-canceling control in a static flow field with stochastic errors in flow values returned at ocean model gridpoints, the error growth is initially rapid, but slows when it reaches a value of approximately twice the ocean model gridsize. Theoretical values for mean and variance of error over time under a station-keeping feedback control strategy and time-varying flow fields are computed. Growth of error in predicted vehicle position is modeled for ocean models whose flow forecasts include errors with large spatial scales. Results are verified using data from several extended field deployments of Slocum autonomous underwater gliders, in Monterey Bay, CA in 2006, and in Long Bay, SC in 2012 and 2013.
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Dimou, Konstantina. "3-D hybrid Eulerian-Lagrangian / particle tracking model for simulating mass transport in coastal water bodies." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/28011.

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Küchler, Christian [Verfasser]. "Measurements of Turbulence at High Reynolds Numbers : From Eulerian Statistics Towards Lagrangian Particle Tracking / Christian Küchler." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2021. http://d-nb.info/1230138072/34.

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Caraghiaur, Garrido Diana. "Experimental Study and Modelling of Spacer Grid Influence on Flow in Nuclear Fuel Assemblies." Licentiate thesis, KTH, Physics, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-9983.

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The work is focused on experimental study and modelling of spacer grid influence on single- and two-phase flow. In the experimental study a mock-up of a realistic fuel bundle with five spacer grids of thin plate spring construction was investigated. A special pressure measuring technique was used to measure pressure distribution inside the spacer. Five pressure taps were drilled in one of the rods, which could exchange position with other rods, in this way providing a large degree of freedom. Laser Doppler Velocimetry was used to measure mean local axial velocity and its fluctuating component upstream and downstream of the spacer in several subchannels with differing spacer part. The experimental study revealed an interesting behaviour. Subchannels from the interior part of the bundle display a different effect on the flow downstream of the spacer compared to subchannels close to the box wall, even if the spacer part is the same. This behaviour is not reflected in modern correlations. The modelling part, first, consisted in comparing the present experimental data to Computational Fluid Dynamics calculations. It was shown that stand-alone subchannel models could predict the local velocity, but are unreliable in prediction of turbulence enhancement due to spacer. The second part of the modelling consisted in developing a deposition model for increase due to spacer. In this study Lagrangian Particle Tracking (LPT) coupled to Discrete Random Walk (DRW) technique was used to model droplet movements through turbulent flow. The LPT technique has an advantage to model the influence of turbulence structure effect on droplet deposition, in this way presenting a generalized model in view of spacer geometry change. The verification of the applicability of LPT DRW method to model deposition in annular flow at Boiling Water Reactor conditions proved that the method is unreliable in its present state. The model calculations compare reasonably well to air-water deposition data, but display a wrong trend if the fluids have a different density ratio than air-water.

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Kim, Ho Jun. "Theoretical and numerical studies of chaotic mixing." Diss., Texas A&M University, 2008. http://hdl.handle.net/1969.1/85940.

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Theoretical and numerical studies of chaotic mixing are performed to circumvent the difficulties of efficient mixing, which come from the lack of turbulence in microfluidic devices. In order to carry out efficient and accurate parametric studies and to identify a fully chaotic state, a spectral element algorithm for solution of the incompressible Navier-Stokes and species transport equations is developed. Using Taylor series expansions in time marching, the new algorithm employs an algebraic factorization scheme on multi-dimensional staggered spectral element grids, and extends classical conforming Galerkin formulations to nonconforming spectral elements. Lagrangian particle tracking methods are utilized to study particle dispersion in the mixing device using spectral element and fourth order Runge-Kutta discretizations in space and time, respectively. Comparative studies of five different techniques commonly employed to identify the chaotic strength and mixing efficiency in microfluidic systems are presented to demonstrate the competitive advantages and shortcomings of each method. These are the stirring index based on the box counting method, Poincare sections, finite time Lyapunov exponents, the probability density function of the stretching field, and mixing index inverse, based on the standard deviation of scalar species distribution. Series of numerical simulations are performed by varying the Peclet number (Pe) at fixed kinematic conditions. The mixing length (lm) is characterized as function of the Pe number, and lm ∝ ln(Pe) scaling is demonstrated for fully chaotic cases. Employing the aforementioned techniques, optimum kinematic conditions and the actuation frequency of the stirrer that result in the highest mixing/stirring efficiency are identified in a zeta potential patterned straight micro channel, where a continuous flow is generated by superposition of a steady pressure driven flow and time periodic electroosmotic flow induced by a stream-wise AC electric field. Finally, it is shown that the invariant manifold of hyperbolic periodic point determines the geometry of fast mixing zones in oscillatory flows in two-dimensional cavity.
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Grabel, Michael Z. "A Lagrangian/Eulerian Approach for Capturing Topological Changes in Moving Interface Problems." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563527241172213.

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Sharma, Gaurav. "Direct numerical simulation of particle-laden turbulence in a straight square duct." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/155.

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Particle-laden turbulent flow through a straight square duct at Reτ = 300 is studied using direct numerical simulation (DNS) and Lagrangian particle tracking. A parallelized 3-D particle tracking direct numerical simulation code has been developed to perform the large-scale turbulent particle transport computations reported in this thesis. The DNS code is validated after demonstrating good agreement with the published DNS results for the same flow and Reynolds number. Lagrangian particle transport computations are carried out using a large ensemble of passive tracers and finite-inertia particles and the assumption of one-way fluid-particle coupling. Using four different types of initial particle distributions, Lagrangian particle dispersion, concentration and deposition are studied in the turbulent straight square duct. Particles are released in a uniform distribution on a cross-sectional plane at the duct inlet, released as particle pairs in the core region of the duct, distributed randomly in the domain or distributed uniformly in planes at certain heights above the walls. One- and two-particle dispersion statistics are computed and discussed for the low Reynolds number inhomogeneous turbulence present in a straight square duct. New detailed statistics on particle number concentration and deposition are also obtained and discussed.
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Book chapters on the topic "Lagrangian particle tracking"

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Clercx, H. J. H., V. Lavezzo, and F. Toschi. "Direct Numerical Simulation and Lagrangian Particle Tracking in turbulent Rayleigh Bénard convection." In ERCOFTAC Series, 365–70. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2482-2_58.

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Corre, Cédric, Jean-Luc Estivalezes, Stéphane Vincent, Olivier Simonin, and Stéphane Glockner. "Simulation of a Fluidized Bed Using a Hybrid Eulerian-Lagrangian Method for Particle Tracking." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 103–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14139-3_12.

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Salvetti, M. V., S. Chibbaro, M. Tesone, C. Marchioli, and Alfredo Soldati. "Probability Distribution of Intrinsic Filtering Errors in Lagrangian Particle Tracking in LES Flow Fields." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 149–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43489-5_18.

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Gülan, U., B. Lüthi, M. Holzner, A. Liberzon, and W. Kinzelbach. "Experimental Analysis of the Lagrangian Flow Field in an Ascending Aorta by Particle Tracking Velocimetry." In IFMBE Proceedings, 595–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23508-5_154.

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Guerrini, Federica. "Data-Informed Models for the Coupled Dispersal of Microplastics and Related Pollutants Applied to the Mediterranean Sea." In Special Topics in Information Technology, 3–14. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15374-7_1.

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AbstractMicroplastic pollution is a ubiquitous environmental threat, in particular to the oceans. In the marine environment, microplastics are not just passively transported by sea currents, but often get contaminated with organic pollutants during the journey. The uptake of chemicals onto microplastics can worsen the adverse effects of microplastics to marine organisms; however, investigation on this urgent phenomenon is hampered by the impossibility of monitoring and tracking such small plastic fragments during their motion at sea. This work aims at addressing the need for an effective modelling of the advection–diffusion processes jointly involving microplastics and the pollutants they carry to further our understanding of their spatiotemporal patterns and ecological impacts, focusing on the Mediterranean Sea. Here we present the conceptual design, methodological settings, and modelling results of a novel, data-informed 2D Lagrangian–Eulerian modelling framework that simultaneously describes (i) the Lagrangian dispersal of microplastic on the sea surface, (ii) the Eulerian advection–diffusion of selected organic contaminants, and (iii) the gradient-driven chemical exchanges between microplastic particles and chemical pollutants in the marine environment in a simple, yet comprehensive way. Crucial to the realism of our model is exploiting the wide variety and abundance of data linked with drivers of Mediterranean marine pollution by microplastics and chemicals, ranging from national censuses to satellite data of surface water runoff and GPS ship tracking, other than the use of oceanographic reanalyses to inform microplastics’ motion at sea. The results of our method applied to a multi-year simulation contribute to a first basin-wide assessment of the role of microplastics as a vehicle of other pollutants of concern in the marine environment. The framework proposed here is intended as a flexible tool to help advance knowledge towards a comprehensive description of the multifaceted threat of marine plastic pollution and an informed support to targeted mitigation policies.
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Salvetti, Maria-Vittoria, Cristian Marchioli, and Alfredo Soldati. "Lagrangian Tracking of Heavy Particles in Large-Eddy Simulation of Turbulent Channel Flow." In Quality and Reliability of Large-Eddy Simulations, 355–66. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8578-9_29.

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Hunter, J. R. "The Application of Lagrangian Particle-Tracking Techniques to Modelling of Dispersion in The Sea." In North-Holland Mathematics Studies, 257–69. Elsevier, 1987. http://dx.doi.org/10.1016/s0304-0208(08)70037-9.

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Rubin, Yoram. "An Overview of Stochastic Tools for Modeling Transport of Tracers in Heterogeneous Media." In Applied Stochastic Hydrogeology. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195138047.003.0012.

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Spatial variability and the uncertainty in characterizing the flow domain play an important role in the transport of contaminants in porous media: they affect the pathlines followed by solute particles, the spread of solute bodies, the shape of breakthrough curves, the spatial variability of the concentration, and the ability to quantify any of these accurately. This chapter briefly reviews some basic concepts which we shall later employ for the analysis of solute transport in heterogeneous media, and also points out some issues we shall address in the subsequent chapters. Our exposition in chapters 8-10 on contaminant transport is built around the Lagrangian and the Eulerian approaches for analyzing transport. The Eulerian approach is a statement of mass conservation in control volumes of arbitrary dimensions, in the form of the advection-dispersion equation. As such, it is well suited for numerical modeling in complex flow configurations. Its main difficulties, however, are in the assignment of parameters, both hydrogeological and geochemical, to the numerical grid blocks such that the effects of subgrid-scale heterogeneity are accounted for, and in the numerical dispersion that occurs in advection-dominated flow situations. Another difficulty is in the disparity between the scale of the numerical elements and the scale of the samples collected in the field, which makes the interpretation of field data difficult. The Lagrangian approach focuses on the displacements and travel times of solute bodies of arbitrary dimensions, using the displacements of small solute particles along streamlines as its basic building block. Tracking such displacements requires that the solute particles do not transfer across streamlines. Since such mass transfer may only occur due to pore-scale dispersion, Lagrangian approaches are ideally suited for advection-dominated situations. Let us start by considering the displacement of a small solute body, a particle, as a function of time. “Small” here implies that the solute body is much smaller than the characteristic scale of heterogeneity. At the same time, to qualify for a description of its movement using Darcy’s law, the solute body also needs to be larger than a few pores. The small dimension of the solute body ensures that it moves along a single streamline and that it does not disintegrate due to velocity shear.
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Grzechnik, Marcus Paul, and Brian John Noye. "Lagrangian–Stochastic Particle Tracking Applied to Prawn Larvae Dispersion in Gulf St. Vincent, South Australia." In Modelling Coastal Sea Processes, 219–46. WORLD SCIENTIFIC, 1999. http://dx.doi.org/10.1142/9789814350730_0009.

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Bell, L. S. J., and P. Binning. "A forward particle tracking Eulerian Lagrangian Localized Adjoint Method for multicomponent reactive transport modelling of biodegradation." In Computational Methods in Water Resources, Proceedings of the XIVth International Conference on Computational Methods in Water Resources (CMWR XIV), 703–10. Elsevier, 2002. http://dx.doi.org/10.1016/s0167-5648(02)80127-7.

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Conference papers on the topic "Lagrangian particle tracking"

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Lee, Vincent, and Eric Loth. "Local Adaptive Timestepping for Lagrangian Particle Tracking." In 45th AIAA Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-335.

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Cho, Sungjin, Fumin Zhang, and Catherine R. Edwards. "Adaptive Learning for Controlled Lagrangian Particle Tracking." In OCEANS 2016 MTS/IEEE Monterey. IEEE, 2016. http://dx.doi.org/10.1109/oceans.2016.7761393.

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Song, Zhuoyuan, and Kamran Mohseni. "Simultaneous AUV Localization and Lagrangian Particle Tracking." In OCEANS 2018 MTS/IEEE Charleston. IEEE, 2018. http://dx.doi.org/10.1109/oceans.2018.8604788.

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Lin, Jian-Hung, and Keh-Chin Chang. "A Cost-Effective Search of Collision Pairs in Lagrangian Particle Tracking Method." In ASME/JSME/KSME 2015 Joint Fluids Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/ajkfluids2015-32577.

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In the simulation of particle-laden flows, in which the inter-particle collisions have to be considered, using the Eulerian-Lagrangian approach, it is agreed that the search of collision pairs based on the deterministic particle tracking method together with the binary-collision, hard-sphere model is a time consuming job in the computational procedure particularly for the flow laden with a remarkably high number density of particles. A cost-effective algorithm for the particle tracking processes which include solving the equations of motion, searching the collision pairs, and updating the list of neighboring particles’ indices is developed. It is demonstrated in the turbulent, fully developed, particle-laden channel flows that the computational expenditure required for completing the particle tracking processes in a given Lagrangian time step can be optimally made with an approximately linear proportionally to the total number of particles (NPT) by setting the number of Lagrangian cells (Ncell) for computation in accordance with the criterion of NPT / Ncell = O(10°).
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Cho, Sungjin, and Fumin Zhang. "An adaptive control law for controlled Lagrangian particle tracking." In the 11th ACM International Conference. New York, New York, USA: ACM Press, 2016. http://dx.doi.org/10.1145/2999504.3001077.

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Szwaykowska, Klementyna, and Fumin Zhang. "Controlled Lagrangian particle tracking error under biased flow prediction." In 2013 American Control Conference (ACC). IEEE, 2013. http://dx.doi.org/10.1109/acc.2013.6580222.

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Widhalm, Markus, Arno Ronzheimer, and Joerg Meyer. "Lagrangian Particle Tracking on Large Unstructured Three-Dimensional Meshes." In 46th AIAA Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-472.

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Szwaykowska, Klementyna, and Fumin Zhang. "A lower bound for controlled Lagrangian particle tracking error." In 2010 49th IEEE Conference on Decision and Control (CDC). IEEE, 2010. http://dx.doi.org/10.1109/cdc.2010.5718170.

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Xu, Yiban, Michael A. Krammen, Guoqiang Wang, Jesse S. Fisher, and Zeses Karoutas. "Analysis of Particle Transfer Behavior in Fuel Rod Bundles Using CFD Lagrangian Particle Tracking Method." In 2021 28th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/icone28-66793.

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Abstract Crud has been observed on the fuel rod surfaces in a variety of fuel designs around the world, and in some limited situations fuel performance was compromised due to crud-induced power shift (CIPS) and/or crud-induced localized corrosion (CILC). It is generally believed that crud deposition depends on fuel rod surface sub-cooled nucleate boiling, coolant chemistry and the availability of particles from component corrosion or from reinserted fuel. The formation, release, and accumulation of crud on the fuel and its influence on CIPS and/or CILC is a complicated process involving multi-physics phenomena. This study uses Computational Fluid Dynamics (CFD) Lagrangian Particle Tracking (LPT) techniques in analysis of particle transfer behavior in fuel rod bundles focusing on flow swirl and turbulence impacts. It is hoped that high fidelity CFD results can provide insights into particle transfer behaviors in the bulk coolant as well as near the fuel rods, which may provide guidance for model development of lumped or integrated analysis methods. The CFD model was built based on the best practices learned from previous single-phase analyses. The LPT options, including particle injectors, forces on particles, and solver settings, were verified by comparing the simulated results to the test data from simple geometry with various particle sizes, covering deposition mechanisms in diffusion-, turbulent- and inertial-dominated regimes. The tested model then was applied to Westinghouse fuel designs with and without Intermediate Flow Mixing (IFM) grids. Particle concentration and size distributions in the coolant around fuel rods were obtained and the effects of grid induced swirl flow on particle transfer were identified. The analysis results may be included in lumped or integrated crud formation/release analysis methods. Limitations and potential improvements of this analysis method are also discussed.
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Carasik, L., A. Ruggles, and C. Wiggins. "Lagrangian Measurements in Pipe Flow via Positron Emission Particle Tracking." In Tranactions - 2019 Winter Meeting. AMNS, 2019. http://dx.doi.org/10.13182/t31156.

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Reports on the topic "Lagrangian particle tracking"

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Zhelyeznyakov, Maksym. Lagrangian particle tracking applied to high-speed tomographic particle imaging velocimetry. Office of Scientific and Technical Information (OSTI), August 2016. http://dx.doi.org/10.2172/1464440.

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