نتایج جستجو برای: sequential gaussian simulation sgs

تعداد نتایج: 704524  

2009
D. CHUNG D. I. PULLIN D. I. Pullin

We report large-eddy simulation (LES) of turbulent channel flow. This LES neither resolves nor partially resolves the near-wall region. Instead, we develop a special near-wall subgrid-scale (SGS) model based on wall-parallel filtering and wall-normal averaging of the streamwise momentum equation, with an assumption of local inner scaling used to reduce the unsteady term. This gives an ordinary ...

2000
Oleg V. Vasilyev

The large eddy simulation (LES) equations of turbulent ows are formally derived by applying a low-pass lter to the Navier-Stokes equations. As a result the subgrid-scale (SGS) stress tensor strongly depends on the assumed lter shape, which causes an SGS model to be lter dependent. In particular, depending on the choice of the lter the corresponding SGS model should satisfy very diierent require...

1997
Ashish Misra D. I. Pullin Daniel C. Chan

Large-eddy simulations of decaying turbulence and turbulent channel ow using the stretched-vortex subgrid-stress model are presented and discussed. In the stretched-vortex model, the subgrid turbulence is assumed to consist of vortices whose orientations are determined by the resolved velocity eld. This, combined with a relationship connecting the subgrid stresses to the vortex-structure orient...

Journal: :IEEE Trans. Signal Processing 2003
Jayesh H. Kotecha Petar M. Djuric

Sequential Bayesian estimation for nonlinear dynamic state-space models involves recursive estimation of filtering and predictive distributions of unobserved time varying signals based on noisy observations. This paper introduces a new filter called the Gaussian particle filter1. It is based on the particle filtering concept, and it approximates the posterior distributions by single Gaussians, ...

Journal: :Comput. J. 2010
Roman Garnett Michael A. Osborne Steven Reece Alex Rogers Stephen J. Roberts

We introduce a new sequential algorithm for making robust predictions in the presence of changepoints. Unlike previous approaches, which focus on the problem of detecting and locating changepoints, our algorithm focuses on the problem of making predictions even when such changes might be present. We introduce nonstationary covariance functions to be used in Gaussian process prediction that mode...

2013
Senthilkumaran Radhakrishnan Josette Bellan

Predictions from conventional large-eddy simulation (LES) are known to be gridspacing and spatial-discretization-order dependent. In a previous article (Radhakrishnan & Bellan, J. Fluid Mech., vol. 697, 2012a, pp. 399–435), we reformulated LES for compressible single-phase flow by explicitly filtering the nonlinear terms in the governing equations so as to render the solution grid-spacing and d...

Journal: :IEEE Journal on Selected Areas in Communications 2003
Chris Heegard Sean Coffey Srikanth Gummadi Eric J. Rossin Matthew B. Shoemake Michael Wilhoyte

Receivers for wireless local area networks based on the IEEE 802.11b standard are required to operate well in heavy multipath, as well as additive noise impairments. This paper discusses a practical approach to combined equalizing and decoding for IEEE 802.11b systems, based on the Fano sequential decoding algorithm. Simulation results are presented demonstrating the greatly improved performanc...

Journal: :Journal of Marine Science and Engineering 2021

In this technical note, a geostatistical model was applied to explore the spatial distribution of source rock data in terms total organic carbon weight concentration. The median polish kriging method used approximate “row and column effect” generated array data, order for ordinary methodology be by means residuals. Moreover, sequential Gaussian simulation employed quantify uncertainty estimates...

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