國立高雄大學圖資館 |

Language: English

Back

Identification of anodic and cathodi...

Carleton University (Canada).

Identification of anodic and cathodic locations on corroding steel reinforcement in concrete using inverse modelling of half-cell potential measurements.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Identification of anodic and cathodic locations on corroding steel reinforcement in concrete using inverse modelling of half-cell potential measurements.
Author:	Marinier, Phil.
Description:	148 p.
Notes:	Source: Masters Abstracts International, Volume: 50-03, page: 1869.
Contained By:	Masters Abstracts International50-03.
Subject:	Engineering, Civil.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR81666
ISBN:	9780494816660

Identification of anodic and cathodic locations on corroding steel reinforcement in concrete using inverse modelling of half-cell potential measurements.
Marinier, Phil.

Identification of anodic and cathodic locations on corroding steel reinforcement in concrete using inverse modelling of half-cell potential measurements. - 148 p.

Source: Masters Abstracts International, Volume: 50-03, page: 1869.

Thesis (M.A.Sc.)--Carleton University (Canada), 2011.

The determination of the locations and sizes of actively corroding areas on embedded steel reinforcement in concrete is difficult using the widely-used and standardized half-cell potential measurement technique. In this research, it is hypothesized that half cell measurements on the surface of the concrete can be used, beyond their originally intended purpose, to identify the locations and sizes of anodic and cathodic sites on the steel reinforcement by means of inverse modelling algorithms. The problem, simply put, is a boundary identification problem: given the potential measurements on the surface of the concrete, identify the anodic and cathodic boundaries on the surface of the reinforcement. Once the anodic and cathodic sites are identified, it is also possible to determine corrosion rates through well-established forward solution algorithms. To this end, a conjugate-gradient based inverse modelling algorithm was developed and coded using open-source finite element analysis libraries to assimilate standard half-cell potential measurements on the concrete surface and to calculate the potential distribution on the surface of the reinforcement. The performance of the inverse model was tested with various configurations of corroding systems with single and multiple anodes. The results show that the developed inverse modelling algorithm is robust and can even be used in cases for which the number of observation points on the surface of the concrete is limited.

ISBN: 9780494816660Subjects--Topical Terms:

212394
Engineering, Civil.

Identification of anodic and cathodic locations on corroding steel reinforcement in concrete using inverse modelling of half-cell potential measurements.
LDR:02330nmm 2200241 4500 001 380716
005 20130530092744.5
008 130708s2011 ||||||||||||||||| ||eng d
020 $a 9780494816660
035 $a (UMI)AAIMR81666
035 $a AAIMR81666
040 $a UMI $c UMI
100 1 $a Marinier, Phil. $3 603354
245 1 0 $a Identification of anodic and cathodic locations on corroding steel reinforcement in concrete using inverse modelling of half-cell potential measurements.
300 $a 148 p.
500 $a Source: Masters Abstracts International, Volume: 50-03, page: 1869.
502 $a Thesis (M.A.Sc.)--Carleton University (Canada), 2011.
520 $a The determination of the locations and sizes of actively corroding areas on embedded steel reinforcement in concrete is difficult using the widely-used and standardized half-cell potential measurement technique. In this research, it is hypothesized that half cell measurements on the surface of the concrete can be used, beyond their originally intended purpose, to identify the locations and sizes of anodic and cathodic sites on the steel reinforcement by means of inverse modelling algorithms. The problem, simply put, is a boundary identification problem: given the potential measurements on the surface of the concrete, identify the anodic and cathodic boundaries on the surface of the reinforcement. Once the anodic and cathodic sites are identified, it is also possible to determine corrosion rates through well-established forward solution algorithms. To this end, a conjugate-gradient based inverse modelling algorithm was developed and coded using open-source finite element analysis libraries to assimilate standard half-cell potential measurements on the concrete surface and to calculate the potential distribution on the surface of the reinforcement. The performance of the inverse model was tested with various configurations of corroding systems with single and multiple anodes. The results show that the developed inverse modelling algorithm is robust and can even be used in cases for which the number of observation points on the surface of the concrete is limited.
590 $a School code: 0040.
650 4 $a Engineering, Civil. $3 212394
690 $a 0543
710 2 $a Carleton University (Canada). $3 603283
773 0 $t Masters Abstracts International $g 50-03.
790 $a 0040
791 $a M.A.Sc.
792 $a 2011
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR81666