Smart Sediment Particle: A novel approach to investigating fluvial bed entrainment using instrumented sensors  被引量:2

在线阅读下载全文

作  者:Yushu Xie Bruce W.Melville Asaad Y.Shamseldin Colin N.Whittaker Yifan Yang 

机构地区:[1]Department of Civil and Environmental Engineering,The University of Auckland,Auckland,New Zealand [2]School of Engineering,The University of Waikato,Hamilton,New Zealand

出  处:《International Journal of Sediment Research》2023年第1期66-82,共17页国际泥沙研究(英文版)

基  金:sponsored by the Joint PhD Scholarship between the Chinese Scholarship Council (CSC) and the University of Auckland

摘  要:The Smart Sediment Particle(SSP)instrumented with multiple sensors to obtain tri-axial linear accelerations is used for studying the mechanism of coarse grain entrainment.Three bed arrangements are tested to examine their influences on entrainment processes and the threshold force and impulse conditions.The SSP shows satisfactory precision to capture the imperceptible movement tendencies immediately(e.g.,0.15 s)after the dislodgement.The experimental results show that bed packing can significantly affect the particle's entrainment threshold and the path of movement.Lateral movement is predominant for some cases because the entrainment path is based on the least work done by the flow,even if the direction is not aligned with the flow.The concept of effective protrusion height is proposed to quantify the effect of local bed arrangement on entrainment.The mean velocity field around the SSP is also measured together with the acceleration data.The mean threshold velocity and resultant impulse show consistent dependence on the bed arrangement.In general,the SSP shows a good prospect of being used to study small-scale entrainment mechanism.

关 键 词:Smart Sediment Particle Instrumented sensors Entrainment behaviours Tri-axial acceleration Hydrodynamic force impulse 

分 类 号:TV142[水利工程—水力学及河流动力学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象