東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

A non-destructive methodology for le...

Khader, Mohammad Rafe Daher.

Linked to FindBook

Google Book

Amazon

博客來

A non-destructive methodology for leak detection in water networks using infrared photography (IR) and Ground Penetrating Radar (GPR).

Record Type:	Electronic resources : Monograph/item
Title/Author:	A non-destructive methodology for leak detection in water networks using infrared photography (IR) and Ground Penetrating Radar (GPR)./
Author:	Khader, Mohammad Rafe Daher.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
Description:	143 p.
Notes:	Source: Masters Abstracts International, Volume: 55-04.
Contained By:	Masters Abstracts International55-04(E).
Subject:	Civil engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10100925
ISBN:	9781339647944

A non-destructive methodology for leak detection in water networks using infrared photography (IR) and Ground Penetrating Radar (GPR).
Khader, Mohammad Rafe Daher.

A non-destructive methodology for leak detection in water networks using infrared photography (IR) and Ground Penetrating Radar (GPR). - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 143 p.

Source: Masters Abstracts International, Volume: 55-04.

Thesis (M.S.)--Qatar University (Qatar), 2016.

Two noninvasive and nondestructive methodologies for detecting leaks in water pipes were proposed and tested. The first method combines the use of Ground Penetrating Radar (GPR) for accurate determination of pipe location, followed by infrared (IR) thermographic imaging for determining the leak location. In IR thermography, four operating conditions (varying camera height and speed) were tested. Results were statistically analyzed using analysis of variance (ANOVA) and pairwise comparison methods. Several factors were found to affect the accuracy of the proposed methodology in predicting the leak location, namely, the characteristics of the studied surface (i.e. emissivity), the characteristics of the surrounding environment (i.e. ambient temperature and relative humidity), and the operating conditions of the IR camera (i.e. speed and height of the camera). In the case of low emissive surfaces, a slower camera speed would be required for the camera to be able to capture the thermal contrast at the real leak location. The results obtained in this study have also shown that under high ambient temperatures and high relative humidity conditions, a higher speed of the IR camera would reduce the impact of noise on the collected thermal contrast and therefore, would give better leak location prediction results. The field of view (FOV) is affected by the camera's height from the surface. At lower heights, less area will be covered per frame; therefore, a more homogenous temperature distribution per frame will be obtained. Consequently, the contrast between the different frames will be higher and better leak predictions would be expected. The tested methodology proved the flexibility of the approach and the ability of accurately predicting the leak location under different conditions. In method two: the GPR alone was used to predict the existence and location of a leak in a water pipe. GPR data processing was performed based on the refined radargram, resulting in promising outcomes in the applicability of the method.

ISBN: 9781339647944Subjects--Topical Terms:

860360
Civil engineering.

A non-destructive methodology for leak detection in water networks using infrared photography (IR) and Ground Penetrating Radar (GPR).
LDR:03005nmm a2200301 4500 001 2117010
005 20170508115359.5
008 180830s2016 ||||||||||||||||| ||eng d
020 $a 9781339647944
035 $a (MiAaPQ)AAI10100925
035 $a AAI10100925
040 $a MiAaPQ $c MiAaPQ
100 1 $a Khader, Mohammad Rafe Daher. $3 3278764
245 1 2 $a A non-destructive methodology for leak detection in water networks using infrared photography (IR) and Ground Penetrating Radar (GPR).
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2016
300 $a 143 p.
500 $a Source: Masters Abstracts International, Volume: 55-04.
500 $a Adviser: Alaa Al-Hawari.
502 $a Thesis (M.S.)--Qatar University (Qatar), 2016.
520 $a Two noninvasive and nondestructive methodologies for detecting leaks in water pipes were proposed and tested. The first method combines the use of Ground Penetrating Radar (GPR) for accurate determination of pipe location, followed by infrared (IR) thermographic imaging for determining the leak location. In IR thermography, four operating conditions (varying camera height and speed) were tested. Results were statistically analyzed using analysis of variance (ANOVA) and pairwise comparison methods. Several factors were found to affect the accuracy of the proposed methodology in predicting the leak location, namely, the characteristics of the studied surface (i.e. emissivity), the characteristics of the surrounding environment (i.e. ambient temperature and relative humidity), and the operating conditions of the IR camera (i.e. speed and height of the camera). In the case of low emissive surfaces, a slower camera speed would be required for the camera to be able to capture the thermal contrast at the real leak location. The results obtained in this study have also shown that under high ambient temperatures and high relative humidity conditions, a higher speed of the IR camera would reduce the impact of noise on the collected thermal contrast and therefore, would give better leak location prediction results. The field of view (FOV) is affected by the camera's height from the surface. At lower heights, less area will be covered per frame; therefore, a more homogenous temperature distribution per frame will be obtained. Consequently, the contrast between the different frames will be higher and better leak predictions would be expected. The tested methodology proved the flexibility of the approach and the ability of accurately predicting the leak location under different conditions. In method two: the GPR alone was used to predict the existence and location of a leak in a water pipe. GPR data processing was performed based on the refined radargram, resulting in promising outcomes in the applicability of the method.
590 $a School code: 1890.
650 4 $a Civil engineering. $3 860360
650 4 $a Environmental engineering. $3 548583
650 4 $a Water resources management. $3 794747
690 $a 0543
690 $a 0775
690 $a 0595
710 2 $a Qatar University (Qatar). $b Engineering-Civil Engineering. $3 3278765
773 0 $t Masters Abstracts International $g 55-04(E).
790 $a 1890
791 $a M.S.
792 $a 2016
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10100925