語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Use of Image Analysis as a Tool for ...
~
Clemson University.
Use of Image Analysis as a Tool for Evaluating Various Construction Materials.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Use of Image Analysis as a Tool for Evaluating Various Construction Materials.
作者:
Kothala, Venkat Sai Kumar.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, 2018
面頁冊數:
86 p.
附註:
Source: Masters Abstracts International, Volume: 57-06.
附註:
Adviser: Bradley J. Putman.
Contained By:
Masters Abstracts International57-06(E).
標題:
Civil engineering.
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10812333
ISBN:
9780438056015
Use of Image Analysis as a Tool for Evaluating Various Construction Materials.
Kothala, Venkat Sai Kumar.
Use of Image Analysis as a Tool for Evaluating Various Construction Materials.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 86 p.
Source: Masters Abstracts International, Volume: 57-06.
Thesis (M.S.)--Clemson University, 2018.
Characterization of internal structure is necessary to understand the behavior of construction materials under different conditions. Image analysis possesses the technological advantages to better understand construction materials and it also provides information that can help to improve the properties of various construction materials. The purpose of this study was to evaluate the internal structure of various construction materials using image analysis and investigate the infiltration in porous friction course mixtures using thermal image analysis.
ISBN: 9780438056015Subjects--Topical Terms:
195981
Civil engineering.
Use of Image Analysis as a Tool for Evaluating Various Construction Materials.
LDR
:02862nmm a2200313 4500
001
547576
005
20190513114557.5
008
190715s2018 ||||||||||||||||| ||eng d
020
$a
9780438056015
035
$a
(MiAaPQ)AAI10812333
035
$a
(MiAaPQ)clemson:14874
035
$a
AAI10812333
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Kothala, Venkat Sai Kumar.
$3
826900
245
1 0
$a
Use of Image Analysis as a Tool for Evaluating Various Construction Materials.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2018
300
$a
86 p.
500
$a
Source: Masters Abstracts International, Volume: 57-06.
500
$a
Adviser: Bradley J. Putman.
502
$a
Thesis (M.S.)--Clemson University, 2018.
520
$a
Characterization of internal structure is necessary to understand the behavior of construction materials under different conditions. Image analysis possesses the technological advantages to better understand construction materials and it also provides information that can help to improve the properties of various construction materials. The purpose of this study was to evaluate the internal structure of various construction materials using image analysis and investigate the infiltration in porous friction course mixtures using thermal image analysis.
520
$a
Automated image processing algorithms were developed to determine the a) long-term binder draindown in asphalt mixtures over time, b) roughness of asphalt mixtures, c) fiber distribution in ultra-high performance concrete mixtures, and d) amount of unreacted ground glass fiber (GGF) particles in geopolymers. Although, the image analysis results did not compare numerically with measured results in the first two studies (a and b), the accuracy can be improved through calibration. In the other two studies (c and d), image analysis provided accurate measurements of the desired information, which can be used to help alter the composition of the materials to improve the performance. Results also helped to analyze the internal structure thus improving the ability to understand the behavior of construction materials.
520
$a
To simulate and monitor difficult to detect observations in full scale, a study was also conducted on pervious concrete friction course mixtures to evaluate infiltration and lateral internal flow of water using thermal image analysis. The internal spread of infiltrated water was detected using thermal image analysis and the effect of slope and thickness on infiltration was analyzed based on various parameters. Results were shown to be repeatable and enhanced the importance of using this non-destructive, cost effective and a time efficient approach.
590
$a
School code: 0050.
650
4
$a
Civil engineering.
$3
195981
690
$a
0543
710
2
$a
Clemson University.
$b
Civil Engineering.
$3
826901
773
0
$t
Masters Abstracts International
$g
57-06(E).
790
$a
0050
791
$a
M.S.
792
$a
2018
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10812333
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000163755
電子館藏
1圖書
學位論文
TH 2018
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10812333
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入