GSTDTAP  > 资源环境科学
DOI10.1029/2021WR030163
Data-driven prediction of turbulent flow statistics past bridge piers in large-scale rivers using convolutional neural networks
Zexia Zhang; Kevin Flora; Seokkoo Kang; Ajay B. Limaye; Ali Khosronejad
2021-12-17
发表期刊Water Resources Research
出版年2021
英文摘要

Prediction of statistical properties of the turbulent flow in large-scale rivers is essential for river flow analysis. The large eddy simulation (LES) provides a powerful tool for such predictions; however, it requires a very long sampling time and demands significant computing power to calculate the turbulence statistics of riverine flows. In this study, we developed encoder-decoder convolutional neural networks (CNNs) to predict the first- and second-order turbulent statistics of the turbulent flow of large-scale meandering rivers using instantaneous LES results. We train the CNNs using a dataset obtained from LES of the flood flow in a large-scale river with three bridge piers – a training testbed. Subsequently, we employed the trained CNNs to predict the turbulent statistics of the flood flow in two different meandering rivers and bridge pier arrangement – validation testbeds rivers. The CNN predictions for the validation testbed river flow were compared with the simulation results of a separately done LES to evaluate the performance of the developed CNNs. We show that the trained CNNs can successfully produce turbulent statistics of the flood flow in the large-scale rivers, i.e., the validation testbeds.

This article is protected by copyright. All rights reserved.

领域资源环境
URL查看原文
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/344148
专题资源环境科学
推荐引用方式
GB/T 7714
Zexia Zhang,Kevin Flora,Seokkoo Kang,et al. Data-driven prediction of turbulent flow statistics past bridge piers in large-scale rivers using convolutional neural networks[J]. Water Resources Research,2021.
APA Zexia Zhang,Kevin Flora,Seokkoo Kang,Ajay B. Limaye,&Ali Khosronejad.(2021).Data-driven prediction of turbulent flow statistics past bridge piers in large-scale rivers using convolutional neural networks.Water Resources Research.
MLA Zexia Zhang,et al."Data-driven prediction of turbulent flow statistics past bridge piers in large-scale rivers using convolutional neural networks".Water Resources Research (2021).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zexia Zhang]的文章
[Kevin Flora]的文章
[Seokkoo Kang]的文章
百度学术
百度学术中相似的文章
[Zexia Zhang]的文章
[Kevin Flora]的文章
[Seokkoo Kang]的文章
必应学术
必应学术中相似的文章
[Zexia Zhang]的文章
[Kevin Flora]的文章
[Seokkoo Kang]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。