A New Erosion Model for Wind-Induced Structural Vibrations

In recent years, computational fluid dynamics (CFD) method has been widely utilized in simulating wind-induced snow drifting. In the simulating process, the erosion flux is the main controlling factor which can be calculated by the product of erosion coefficient and the differences between the flow...

Full description

Bibliographic Details
Main Authors: Keqin Yan, Yi Zhang, Tao Cheng
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2018/6839062
id doaj-f4e8c36c99804b83affe0481156e89f7
record_format Article
spelling doaj-f4e8c36c99804b83affe0481156e89f72020-11-25T01:03:50ZengHindawi LimitedShock and Vibration1070-96221875-92032018-01-01201810.1155/2018/68390626839062A New Erosion Model for Wind-Induced Structural VibrationsKeqin Yan0Yi Zhang1Tao Cheng2School of Civil Engineering, Hubei Polytechnic University, Huangshi, Hubei 435003, ChinaDepartment of Civil Engineering, Tsinghua University, Beijing 100084, ChinaSchool of Civil Engineering, Hubei Polytechnic University, Huangshi, Hubei 435003, ChinaIn recent years, computational fluid dynamics (CFD) method has been widely utilized in simulating wind-induced snow drifting. In the simulating process, the erosion flux is the main controlling factor which can be calculated by the product of erosion coefficient and the differences between the flow stress and threshold stress. The erosion coefficient is often adopted as an empirical constant which is believed not to change with time and space. However, in reality, we do need to consider the influences of snow diameter, density, and wind speed on the erosion coefficient. In this technical note, a function of air density, sow particle density, snow particle radius, and snow particle strength bond is proposed for the erosion coefficient. Based on an experiment study, the effects of these parameters in erosion coefficient is analyzed and discussed. The probability distribution and value range of erosion coefficient are also presented in this technical note. The applicability of this approach is also demonstrated in a numerical study for predicting the snow distributions around a cube structure. The randomness of the structural vibrations is studied with details.http://dx.doi.org/10.1155/2018/6839062
collection DOAJ
language English
format Article
sources DOAJ
author Keqin Yan
Yi Zhang
Tao Cheng
spellingShingle Keqin Yan
Yi Zhang
Tao Cheng
A New Erosion Model for Wind-Induced Structural Vibrations
Shock and Vibration
author_facet Keqin Yan
Yi Zhang
Tao Cheng
author_sort Keqin Yan
title A New Erosion Model for Wind-Induced Structural Vibrations
title_short A New Erosion Model for Wind-Induced Structural Vibrations
title_full A New Erosion Model for Wind-Induced Structural Vibrations
title_fullStr A New Erosion Model for Wind-Induced Structural Vibrations
title_full_unstemmed A New Erosion Model for Wind-Induced Structural Vibrations
title_sort new erosion model for wind-induced structural vibrations
publisher Hindawi Limited
series Shock and Vibration
issn 1070-9622
1875-9203
publishDate 2018-01-01
description In recent years, computational fluid dynamics (CFD) method has been widely utilized in simulating wind-induced snow drifting. In the simulating process, the erosion flux is the main controlling factor which can be calculated by the product of erosion coefficient and the differences between the flow stress and threshold stress. The erosion coefficient is often adopted as an empirical constant which is believed not to change with time and space. However, in reality, we do need to consider the influences of snow diameter, density, and wind speed on the erosion coefficient. In this technical note, a function of air density, sow particle density, snow particle radius, and snow particle strength bond is proposed for the erosion coefficient. Based on an experiment study, the effects of these parameters in erosion coefficient is analyzed and discussed. The probability distribution and value range of erosion coefficient are also presented in this technical note. The applicability of this approach is also demonstrated in a numerical study for predicting the snow distributions around a cube structure. The randomness of the structural vibrations is studied with details.
url http://dx.doi.org/10.1155/2018/6839062
work_keys_str_mv AT keqinyan anewerosionmodelforwindinducedstructuralvibrations
AT yizhang anewerosionmodelforwindinducedstructuralvibrations
AT taocheng anewerosionmodelforwindinducedstructuralvibrations
AT keqinyan newerosionmodelforwindinducedstructuralvibrations
AT yizhang newerosionmodelforwindinducedstructuralvibrations
AT taocheng newerosionmodelforwindinducedstructuralvibrations
_version_ 1725199235345809408