Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2021WR030163 |
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
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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). |
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