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Journal ArticleDOI

Appropriate boundary conditions for computational wind engineering models using the k-ϵ turbulence model

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TLDR
In this paper, velocity and turbulence profiles associated with the k-ϵ turbulence model are proposed which produce homogeneous conditions, and the cospectrum for the Reynolds stress exhibits a characteristics frequency n o ≈ u ∗ / z which is consistent with the suggested profile equations.
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This article is published in Journal of Wind Engineering and Industrial Aerodynamics.The article was published on 1993-08-01. It has received 1044 citations till now. The article focuses on the topics: K-omega turbulence model & K-epsilon turbulence model.

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CFD simulation of dense gas dispersion in neutral atmospheric boundary layer with OpenFOAM

TL;DR: In this article, the authors used the Monin-Obukhov similarity theory to specify the profiles of velocity, turbulent kinetic energy (k), and eddy dissipation rate in atmospheric boundary layer (ABL) flow.
Journal ArticleDOI

An intercomparison study between RAMS and CRES-Flow-NS models and evaluation with wind tunnel experimental data: Toward improving atmospheric modeling for wind resource assessment

TL;DR: In this paper, proper modifications of the RAMS model were performed to simulate 2D wind flow over an isolated hill at high resolution configuration The results have been compared with the CFD model CRES-Flow-NS and with wind tunnel experimental data.
Proceedings ArticleDOI

Numerical optimization of near-road vegetation barriers

Ludek Benes, +1 more
TL;DR: In this article, the influence of vegetation barriers on the dustiness along the highway has been analyzed using the RANS equation for viscous incompressible flow with variable density, and the two equations turbulence model is used for the closure of this set of equations.
Journal ArticleDOI

RANS simulations of aerodynamic forces on a tall building under twisted winds considering horizontal homogeneity

TL;DR: In this paper , a set of inflow boundary conditions based on RANS simulations are developed to mimic the twisted wind field with special emphasis on the horizontal homogeneity, and the aerodynamic forces acting on a squared tall building are predicted based on the simulated twisted winds.
References
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Journal ArticleDOI

The numerical computation of turbulent flows

TL;DR: In this paper, the authors present a review of the applicability and applicability of numerical predictions of turbulent flow, and advocate that computational economy, range of applicability, and physical realism are best served by turbulence models in which the magnitudes of two turbulence quantities, the turbulence kinetic energy k and its dissipation rate ϵ, are calculated from transport equations solved simultaneously with those governing the mean flow behaviour.

Characteristics of turbulence in a boundary layer with zero pressure gradient

TL;DR: In this article, the results of an experimental investigation of a turbulent boundary layer with zero pressure gradient are presented and the importance of the region near the wall and the inadequacy of the concept of local isotropy are demonstrated.

Neutrally stratified boundary-layer flow over roughness changes and topography

TL;DR: In this paper, a linear model for neutral surface-layer flow over complex terrain is presented, which makes it possible to make high-resolution computations for an arbitrary distribution of surface roughness and topography.
Journal ArticleDOI

A mixed spectral finite-difference model for neutrally stratified boundary-layer flow over roughness changes and topography

TL;DR: In this paper, a linear model for neutral surface-layer flow over complex terrain is presented, which combines the simplicity and computational efficiency of linear methods with flexibility for closure schemes of finite-difference methods.
Journal ArticleDOI

Simulation of Effect of Wind Barriers on Airflow

TL;DR: In this article, the authors developed a quantitative, theoretical simulation of airflow normal to narrow wind barriers of various porosities and, when possible, verify the results using experimental data, using finite difference methods having a combination of upwind and central difference schemes.
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