arrow
返回

Validating LES-based flow and dispersion models

delete2011-04-01
delete40
PRE
AI
F
Frank Harms *
B
Bernd Leitl
M
M. Schatzmann
G
Gopal Patnaik
DOI:10.1016/j.jweia.2011.01.007delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Validating LES-based flow and dispersion models for the purpose of predicting transient flow and dispersion phenomena is more demanding than validating RANS-based codes. Since the model output is no longer related to stationary or quasi-stationary boundary conditions, and since the model results are not meant to be used for predicting mean flow and dispersion patterns, an evaluation of the model based on mean results is not meaningful for most of the model-specific applications. A more sophisticated but also more complex validation approach based on statistically representative ensembles is required. By comparing frequency/probability distributions of flow and dispersion results with qualified reference data the reliability of complex models can be evaluated. Based on a careful comparison of FAST3D-CT simulation results with corresponding systematic wind tunnel data from the JU2003 experiments, an example for an application specific evaluation procedure for instantaneous puff dispersion modeling is given. (C) 2011 Elsevier Ltd. All rights reserved.
Keyword:
Puff dispersion
LES model
Validation
Boundary layer wind tunnel
Urban roughness
Urban dispersion
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Journal of Wind Engineering and Industrial Aerodynamics 封面图
Journal of Wind Engineering and Industrial Aerodynamics
IF:
4.9
论文数:
5.2K
被引数:
2.2W

机构

U
university of hamburg
学者数:
3.7W
论文数: 2.9W
被引数: 30
United States Department of Defense 封面图
United States Department of Defense
学者数:
2.8W
论文数: 2.3W
被引数: 172
引用论文

引用论文

err分享
err收藏
Entrepreneurial Architecture
err2018-07-19
err0
PREAI
errTahseen Arshi; Paul Burns
err分享
err收藏
Broadband Quasi-Phase-Matched Harmonic Generation in an On-Chip Monocrystalline Lithium Niobate Microdisk Resonator
err2019-05-03
err0
PREAI
errJintian Lin; Ni Yao; Zhenzhong Hao; Jianhao Zhang; Wenbo Mao; Min Wang; Wei Chu; Rongbo Wu; Zhiwei Fang; Lingling Qiao; Wei Fang; Fang Bo; Ya Cheng
err分享
err收藏