A 3D Lagrangian micromixing dispersion model LAGFLUM and its validation with a wind tunnel experiment

Leuzzi, Giovanni; Amicarelli, Andrea; Monti, Paolo; Thomson, David J.

doi:10.1016/j.atmosenv.2012.02.054

Cited by 24 publications

(24 citation statements)

References 23 publications

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“…Table synthesizes all the estimated metrics for both the numerical approaches. Several of these parameters are defined and used to test other Lagrangian particle models applied in fluid dynamics, as described in detail in .…”

Section: Results—a Dam Break Water Front Impacting a Tall Structurementioning

confidence: 99%

A 3D fully Lagrangian Smoothed Particle Hydrodynamics model with both volume and surface discrete elements

Amicarelli

Agate

Guandalini

2013

Numerical Meth Engineering

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SUMMARYA 3D fully Lagrangian smoothed particle hydrodynamics (SPH) model has been developed adopting a particle approximation, which considers both volume and surface elements at boundaries. The model is based on the main principles of the 2D model of Ferrand et al. (2012) and on the spatial reconstruction schemes used in SPH–arbitrary Lagrangian–Eulerian modeling to treat boundaries (Marongiu et al., 2007). This model is conceived to represent free surface flows and their interactions with solid structures. It is validated on a 2D water jet impact over a plate, a sloshing tank test case, and two experimental 3D dam break fronts, which interact with fixed obstacles. The results are compared with the available measurements and analytical solutions. We finally provide supplementary inter‐comparisons using another SPH numerical model, based on the semi‐analytical approach.Copyright © 2013 John Wiley & Sons, Ltd.

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Section: Results—a Dam Break Water Front Impacting a Tall Structurementioning

confidence: 99%

A 3D fully Lagrangian Smoothed Particle Hydrodynamics model with both volume and surface discrete elements

Amicarelli

Agate

Guandalini

2013

Numerical Meth Engineering

Self Cite

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“…This has been so far achieved by means of meandering models (Gifford 1959;Yee et al 1994;Luhar et al 2000;Franzese 2003), pairof-particles Lagrangian stochastic models (Durbin 1980;Sawford and Hunt 1986), numerical models resolving the concentration variance balance equation (Andronopoulos et al 2002;Milliez and Carissimo 2008), micro-mixing Lagrangian models (Sawford 2004;Cassiani et al 2005a, b;Leuzzi et al 2012;Amicarelli et al 2012) and large-eddy simulations (Xie et al 2004;Vinkovic et al 2006;Philips et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Dispersion of a Passive Scalar Fluctuating Plume in a Turbulent Boundary Layer. Part I: Velocity and Concentration Measurements

Nironi

Salizzoni

Marro

et al. 2015

Boundary-Layer Meteorol

146

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The prediction of the probability density function (PDF) of a pollutant concentration within atmospheric flows is of primary importance in estimating the hazard related to accidental releases of toxic or flammable substances and their effects on human health. This need motivates studies devoted to the characterization of concentration statistics of pollutants dispersion in the lower atmosphere, and their dependence on the parameters controlling their emissions. As is known from previous experimental results, concentration fluctuations are significantly influenced by the diameter of the source and its elevation. In this study, we aim to further investigate the dependence of the dispersion process on the source configuration, including source size, elevation and emission velocity. To that end we study experimentally the influence of these parameters on the statistics of the concentration of a passive scalar, measured at several distances downwind of the source. We analyze the spatial distribution of the first four moments of the concentration PDFs, with a focus on the variance, its dissipation and production and its spectral density. The information provided by the dataset, completed by estimates of the intermittency factors, allow us to discuss the role of the main mechanisms controlling the scalar dispersion and their link to the form of the PDF. The latter is shown to be very well approximated by a Gamma distribution, irrespective of the emission conditions and the distance from the source. Concentration measurements are complemented by a detailed description of the velocity statistics, including direct estimates of the Eulerian integral length scales from two-point correlations, a measurement that has been rarely presented to date.

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“…Compared to other modelling approaches, such as micro-mixing Lagrangian models (Sawford 2004;Cassiani et al 2005;Leuzzi et al 2012;Amicarelli et al 2012;Cassiani 2013) and large-eddy simulations (Xie et al 2004;Vinkovic et al 2006), their relatively simple formulation makes them suitable for operational purposes.…”

Section: Introductionmentioning

confidence: 99%

Dispersion of a Passive Scalar Fluctuating Plume in a Turbulent Boundary Layer. Part II: Analytical Modelling

Marro

Nironi

Salizzoni

et al. 2015

Boundary-Layer Meteorol

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We investigate the reliability of a meandering plume model in reproducing the passive scalar concentration statistics due to a continuous release in a turbulent boundary layer. More specifically, we aim to verify the physical consistency of the parametrizations adopted in the model through a systematic comparison with experimental data. In order to perform this verification, we take advantage of the velocity and concentration measurements presented in part I of the present study (Nironi et al., Boundary-Layer Meteorol, 2015) particularly concerning estimates of the Eulerian integral length scales and the higher order moments of the concentration probability density function. The study is completed by a sensitivity analysis in order to estimate the effects of the variations of the key parameter to the model results. In the light of these results, we discuss the benefits and shortcomings of this modelling approach and its suitability for operational purposes.

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A 3D Lagrangian micromixing dispersion model LAGFLUM and its validation with a wind tunnel experiment

Cited by 24 publications

References 23 publications

A 3D fully Lagrangian Smoothed Particle Hydrodynamics model with both volume and surface discrete elements

A 3D fully Lagrangian Smoothed Particle Hydrodynamics model with both volume and surface discrete elements

Dispersion of a Passive Scalar Fluctuating Plume in a Turbulent Boundary Layer. Part I: Velocity and Concentration Measurements

Dispersion of a Passive Scalar Fluctuating Plume in a Turbulent Boundary Layer. Part II: Analytical Modelling

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