Experimental Study on Vegetated Channel Flow Field Using Color Partical Image Velocimetry Method

碩士 === 國立交通大學 === 土木工程系所 === 93 === There are three types of the reactions of the vegetation: erect, waving and prone when flow passes vegetated channel. This study focuses on the erect type to investigate the influence of different vegetated density on the variation of velocity. The cylinder of res...

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Main Authors: Yu-Shiuan Huang, 黃于軒
Other Authors: Keh-Chia Yeh
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/92713255792128659132
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spelling ndltd-TW-093NCTU50150422016-06-06T04:10:50Z http://ndltd.ncl.edu.tw/handle/92713255792128659132 Experimental Study on Vegetated Channel Flow Field Using Color Partical Image Velocimetry Method 彩色質點影像測速法於植生渠道流場之試驗研究 Yu-Shiuan Huang 黃于軒 碩士 國立交通大學 土木工程系所 93 There are three types of the reactions of the vegetation: erect, waving and prone when flow passes vegetated channel. This study focuses on the erect type to investigate the influence of different vegetated density on the variation of velocity. The cylinder of resin is used as the model plant, with diameter of 0.65 cm and height of 3 cm. There are seven sets of vegetated density. The characteristic volume ratio is used to represent the vegetated density, and it is defined as ratio of the plants’ volume to unit fluid volume. The flow discharge in the experiment is controlled in the range of 70(l/min)∼90(l/min) and the flow depth is 5 cm in the upstream boundary. Because the flow is affected by the vegetation, the flow field changes rapidly. If the traditional single-point measurement at a time is adopted in the experiment, the variation of the velocity field in the vegetated channel cannot be obtained completely and effectively. Hence, this study adopts non-intrusive color particle image velocimety (CPIV) to measure the vertical 2-D flow field in the vegetated channel. The CPIV method uses Argun laser as the light source, the PCAOM separates the light into blue and green lights and they form a light sheet after emitting on a rotating eight-side mirror, the CCD takes the instantaneous images of vegetated channel flow field, and then obtains the velocity field through the set-up of interrogation window and image analysis. Finally, the associated vorticity can be calculated by the central difference scheme based on the measured velocity components at each point. After measuring the vegetated channel flow field with the CPIV method, the stronger vorticities occur in the interface between air and fluid, near the bed of the vegetated channel and the vicinity of the model plant. In addition, the relationships among the increasing rates of the mean and maximum velocities and the distance from the water surface of the maximum velocity at the top of the third-row model plant with respect to the characteristic volume ratio are also analyzed. It can be found that the exponential relationships exist with high correlation coefficients. Keh-Chia Yeh 葉克家 2005 學位論文 ; thesis 102 zh-TW
collection NDLTD
language zh-TW
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description 碩士 === 國立交通大學 === 土木工程系所 === 93 === There are three types of the reactions of the vegetation: erect, waving and prone when flow passes vegetated channel. This study focuses on the erect type to investigate the influence of different vegetated density on the variation of velocity. The cylinder of resin is used as the model plant, with diameter of 0.65 cm and height of 3 cm. There are seven sets of vegetated density. The characteristic volume ratio is used to represent the vegetated density, and it is defined as ratio of the plants’ volume to unit fluid volume. The flow discharge in the experiment is controlled in the range of 70(l/min)∼90(l/min) and the flow depth is 5 cm in the upstream boundary. Because the flow is affected by the vegetation, the flow field changes rapidly. If the traditional single-point measurement at a time is adopted in the experiment, the variation of the velocity field in the vegetated channel cannot be obtained completely and effectively. Hence, this study adopts non-intrusive color particle image velocimety (CPIV) to measure the vertical 2-D flow field in the vegetated channel. The CPIV method uses Argun laser as the light source, the PCAOM separates the light into blue and green lights and they form a light sheet after emitting on a rotating eight-side mirror, the CCD takes the instantaneous images of vegetated channel flow field, and then obtains the velocity field through the set-up of interrogation window and image analysis. Finally, the associated vorticity can be calculated by the central difference scheme based on the measured velocity components at each point. After measuring the vegetated channel flow field with the CPIV method, the stronger vorticities occur in the interface between air and fluid, near the bed of the vegetated channel and the vicinity of the model plant. In addition, the relationships among the increasing rates of the mean and maximum velocities and the distance from the water surface of the maximum velocity at the top of the third-row model plant with respect to the characteristic volume ratio are also analyzed. It can be found that the exponential relationships exist with high correlation coefficients.
author2 Keh-Chia Yeh
author_facet Keh-Chia Yeh
Yu-Shiuan Huang
黃于軒
author Yu-Shiuan Huang
黃于軒
spellingShingle Yu-Shiuan Huang
黃于軒
Experimental Study on Vegetated Channel Flow Field Using Color Partical Image Velocimetry Method
author_sort Yu-Shiuan Huang
title Experimental Study on Vegetated Channel Flow Field Using Color Partical Image Velocimetry Method
title_short Experimental Study on Vegetated Channel Flow Field Using Color Partical Image Velocimetry Method
title_full Experimental Study on Vegetated Channel Flow Field Using Color Partical Image Velocimetry Method
title_fullStr Experimental Study on Vegetated Channel Flow Field Using Color Partical Image Velocimetry Method
title_full_unstemmed Experimental Study on Vegetated Channel Flow Field Using Color Partical Image Velocimetry Method
title_sort experimental study on vegetated channel flow field using color partical image velocimetry method
publishDate 2005
url http://ndltd.ncl.edu.tw/handle/92713255792128659132
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