Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 3

Year

2022 1

2016 1

2014 1

Keywords

PIV 2

ADV 1

fan-stirred combustion chamber 1

flow-field distribution 1

frame difference 1

methanol 1

net cage 1

optical-flow method 1

particle image velocimetry (PIV) 1

structure health monitoring 1

turbulence characteristics 1

turbulent expanding flames 1

velocity 1

velocity estimation 1

open ︾

Search scope:

排序： Display mode:

Development of a fan-stirred constant volume combustion chamber and turbulence measurement with PIV

Frontiers in Energy 2022, Volume 16, Issue 6, Pages 973-987 doi: 10.1007/s11708-021-0762-z

Abstract: Turbulence characteristics are estimated using particle image velocimetry (PIV) at different initial

Keywords： fan-stirred combustion chamber turbulence characteristics particle image velocimetry (PIV) methanol

HTML PDF Collect

Experimental study on flow-field effect of circular gravity cage

Liu Chao,Guan Changtao,Cui Yong,Zhao Xia,Li Mengjie,Li Zhenzhen,Wang Tengteng

Strategic Study of CAE 2014, Volume 16, Issue 9, Pages 69-77

Abstract: measurement points at a velocity of 0.068m/s,0.105m/s,0.143m/s,0.182m/s by particle image velocimetry (PIVADV).The experimental data showed that the measurement result of ADV was basically same with that of PIV

Keywords： net cage ADV PIV velocity flow-field distribution

HTML PDF Collect

Image analyses for video-based remote structure vibration monitoring system

Yang YANG,Xiong (Bill) YU

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 1, Pages 12-21 doi: 10.1007/s11709-016-0313-6

Abstract: Video-based vibration measurement is a cost-effective way for remote monitoring the health conditions of transportation and other civil structures, especially for situations where accessibility is restricted and does not allow installation of conventional monitoring devices. Besides, video-based system is global measurement. The technical basis of video-based remote vibration measurement system is digital image analysis. Comparison of the images allow the field of motion to be accurately delineated. Such information is important to understand the structure behaviors including the motion and strain distribution. This paper presents system and analyses to monitor the vibration velocity and displacement field. The performance is demonstrated on a testbed of model building. Three different methods (i.e., frame difference method, particle image velocimetry, and optical Flow Method) are utilized to analyze the image sequences to extract the feature of motion. The Performance is validated using accelerometer data. The results indicate that all three methods can estimate the velocity field of the model building, although the results can be affected by factors such as background noise and environmental interference. Optical flow method achieved the best performance among these three methods studied. With further refinement of system hardware and image processing software, it will be developed into a remote video based monitoring system for structural health monitoring of transportation infrastructure to assist the diagnoses of its health conditions.

Keywords： structure health monitoring velocity estimation frame difference PIV optical-flow method