4,289,235 research outputs found

    Dataset for LES and RANS for turbulent flow over arrays of wall-mounted obstacles, Flow Turbulence and Combustion

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    Dataset supporting paper Xie, Z-T, Castro, IP (2006) LES and RANS for turbulent flow over arrays of wall-mounted obstacles, Flow Turbulence and Combustion, 76(3), 291-312, DOI: 10.1007/s10494-006-9018-6</span

    Datasets for uncertainty law for multiple setups paper (Xie et MSSP 2020)

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    This folder contains datasets used in Sections 5 and 6 of Xie YL, Au SK, Li BB (2020). “Asymptotic identification uncertainty of well-separated modes in operational modal analysis with multiple setups”. Mechanical Systems and Signal Processing, 151, 107382

    Large-eddy simulation of dispersion from surface sources in arrays of obstacles

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    Towards meeting the objective of simulating heat transfer processes in urban areas, the study of dispersion from a scalar (ground) surface area source has been addressed as a first step, as dispersion from such a source is in some ways analogous to heat transfer from the surface. Two different urban-like geometries are considered in this study: an array with uniform height cubes and an array with random height cuboids. Some point measurement dispersion experiments in a wind tunnel have previously been carried out in identical arrays using a naphthalene sublimation technique. Large-eddy simulations (LES) of these experiments have been performed as a validation study and the details, presented here, demonstrate the influence of the roughness morphology on the dispersion processes and the power of LES for obtaining physically important scalar turbulent flux information

    Dataset of Thermal Stratification Effects on Turbulence and Dispersion in Internal and External Boundary Layers

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    The data supports the paper: Sessa V, Xie Z-T, Herring S. Thermal Stratification Effects on Turbulence and Dispersion in Internal and External Boundary Layers. Boundary-Layer Meteorology.</span

    Taxonomy of the Lemaneaceae (Batrachospermales, Rhodophyta) in China

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    Six species, belonging to two genera of Lemaneaceae in China are described. They are Lemanea Bory (including L. sinica Jao, L. crassa S. L. Xie et Z. X. Shi, L. ramosa S. L. Xie et Z. X. Shi and L. simplex Jao) and Paralemanea (Silva) Vis et Sheath (including P catenata (Kutzing) Vis et Sheath and P. parvula (Sirodot) S. L. Xie et Z. X. Shi). Among them L. crassa S. L. Xie et Z. X. Shi and L. ramosa S. L. Xie et Z. X. Shi are new species. Moreover, Paralemanea (Silva) Vis et Sheath and P. catenata (Kutzing) Vis et Sheath, P. parvula (Sirodot) S. L. Xie et Z. X. Shi are newly recorded in China

    Cholecystokinin Neurons in Mouse Suprachiasmatic Nucleus Regulate the Robustness of Circadian Clock

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    Data and code from Lucheng Xie et al

    Large-eddy simulation for flow and dispersion in urban streets

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    Large-eddy simulations (LES) with our recently developed inflow approach (Xie &amp;Castro, 2008a) have been used for flow and dispersion within a genuine city area -the DAPPLE site, located at the intersection of Marylebone Rd and Gloucester Plin Central London. Numerical results up to second-order statistics are reported fora computational domain of 1.2km (streamwise) x 0.8km (lateral) x 0.2km (in fullscale), with a resolution down to approximately one meter in space and one secondin time. They are in reasonable agreement with the experimental data. Such a comprehensiveurban geometry is often, as here, composed of staggered, aligned, squarearrays of blocks with non-uniform height and non-uniform base, street canyons andintersections. Both the integrative and local effect of flow and dispersion to thesegeometrical patterns were investigated. For example, it was found that the peaksof spatially averaged urms, vrms, wrms and &lt; u0w0 &gt; occurred neither at the meanheight nor at the maximum height, but at the height of large and tall buildings. Itwas also found that the mean and fluctuating concentrations in the near-source fieldis highly dependent on the source location and the local geometry pattern, whereasin the far field (e.g. &gt;0.1km) they are not. In summary, it is demonstrated thatfull-scale resolution of around one meter is sufficient to yield accurate prediction ofthe flow and mean dispersion characteristics and to provide reasonable estimationof concentration fluctuation

    Data for Turbulence and dispersion below and above the interface of the internal and the external boundary layers

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    Data supporting the paper Sessa, V., Xie, Z-T., &amp; Herring, S. (2018). Turbulence and dispersion below and above the interface of the internal and the external boundary layers. Journal of Wind Engineering and Industrial Aerodynamics, 182, 189-201. DOI: 10.1016/j.jweia.2018.09.021</span

    Connectivity of concentration clouds in turbulent flows

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    We study two cases of dispersion of neutral scalar species from point sources into a simulated boundary layer. Using large-eddy simulation, we calculate the concentration fluctuations of passive plumes from an elevated (ES) and a ground-level (GLS) source in a turbulent boundary layer over a rough wall. The mean concentration, relative fluctuations and spectra are found in good agreement with the wind-tunnel measurements. Concentration clouds have been analyzed by applying a multi-cloud tracking and conditional sampling algorithm to LES data. The space-time development of the concentration clouds are examined. In particular, we focus our main interest on the quantification of the connectivity of the concentration clouds, which is a very tough issue because of the immense dataset. Keywords: concentration cloud, quantification of connectivity, multi-cloud tracking, conditional samplin
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