Detection of Defect in Tendon for Pre-stressed Concrete Structures using Electric Signal; Numerical Simulation Studies

J U Lee, S S Bang, S H Yoon, Y-J Shin and Y M Lim
Institute of Physics (IOP)
Published 2018
Publication Date:
2018-11-09
Publisher:
Institute of Physics (IOP)
Print ISSN:
1757-8981
Electronic ISSN:
1757-899X
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Published by:
_version_ 1836399083026120705
autor J U Lee, S S Bang, S H Yoon, Y-J Shin and Y M Lim
beschreibung The pre-stressing in concrete structures is a popular construction method these days. One of the main problems is degradation of the structures due to the corrosion of the pre-stressing tendon that frequently generates serious damage. Hence, the corrosion detection in tendons is very important to maintain the health of the pre-stressed concrete (PSC) structures. In this study, a numerical simulation is conducted to find the feasibility of detecting corrosions by using an electric signal. For the numerical simulation, COMSOL multi-physics program which can apply the electric signal is used. The simulation is performed by modeling a set of pre-stressing tendons and ducts placed inside of the PSC structure. The ducts are filled with cement grout, and the corrosions are assumed to occur on the pre-stressing tendons. The electric signal applied at a starting point of the PSC ducts and reflected signal at the positions of corrosions is analyzed. It is confirmed that the electric signa...
citation_standardnr 6355168
datenlieferant ipn_articles
feed_id 123476
feed_publisher Institute of Physics (IOP)
feed_publisher_url http://www.iop.org/
insertion_date 2018-11-09
journaleissn 1757-899X
journalissn 1757-8981
publikationsjahr_anzeige 2018
publikationsjahr_facette 2018
publikationsjahr_intervall 7984:2015-2019
publikationsjahr_sort 2018
publisher Institute of Physics (IOP)
quelle IOP Conference Series: Materials Science and Engineering
relation http://iopscience.iop.org/1757-899X/431/12/122002
search_space articles
shingle_author_1 J U Lee, S S Bang, S H Yoon, Y-J Shin and Y M Lim
shingle_author_2 J U Lee, S S Bang, S H Yoon, Y-J Shin and Y M Lim
shingle_author_3 J U Lee, S S Bang, S H Yoon, Y-J Shin and Y M Lim
shingle_author_4 J U Lee, S S Bang, S H Yoon, Y-J Shin and Y M Lim
shingle_catch_all_1 Detection of Defect in Tendon for Pre-stressed Concrete Structures using Electric Signal; Numerical Simulation Studies
The pre-stressing in concrete structures is a popular construction method these days. One of the main problems is degradation of the structures due to the corrosion of the pre-stressing tendon that frequently generates serious damage. Hence, the corrosion detection in tendons is very important to maintain the health of the pre-stressed concrete (PSC) structures. In this study, a numerical simulation is conducted to find the feasibility of detecting corrosions by using an electric signal. For the numerical simulation, COMSOL multi-physics program which can apply the electric signal is used. The simulation is performed by modeling a set of pre-stressing tendons and ducts placed inside of the PSC structure. The ducts are filled with cement grout, and the corrosions are assumed to occur on the pre-stressing tendons. The electric signal applied at a starting point of the PSC ducts and reflected signal at the positions of corrosions is analyzed. It is confirmed that the electric signa...
J U Lee, S S Bang, S H Yoon, Y-J Shin and Y M Lim
Institute of Physics (IOP)
1757-8981
17578981
1757-899X
1757899X
shingle_catch_all_2 Detection of Defect in Tendon for Pre-stressed Concrete Structures using Electric Signal; Numerical Simulation Studies
The pre-stressing in concrete structures is a popular construction method these days. One of the main problems is degradation of the structures due to the corrosion of the pre-stressing tendon that frequently generates serious damage. Hence, the corrosion detection in tendons is very important to maintain the health of the pre-stressed concrete (PSC) structures. In this study, a numerical simulation is conducted to find the feasibility of detecting corrosions by using an electric signal. For the numerical simulation, COMSOL multi-physics program which can apply the electric signal is used. The simulation is performed by modeling a set of pre-stressing tendons and ducts placed inside of the PSC structure. The ducts are filled with cement grout, and the corrosions are assumed to occur on the pre-stressing tendons. The electric signal applied at a starting point of the PSC ducts and reflected signal at the positions of corrosions is analyzed. It is confirmed that the electric signa...
J U Lee, S S Bang, S H Yoon, Y-J Shin and Y M Lim
Institute of Physics (IOP)
1757-8981
17578981
1757-899X
1757899X
shingle_catch_all_3 Detection of Defect in Tendon for Pre-stressed Concrete Structures using Electric Signal; Numerical Simulation Studies
The pre-stressing in concrete structures is a popular construction method these days. One of the main problems is degradation of the structures due to the corrosion of the pre-stressing tendon that frequently generates serious damage. Hence, the corrosion detection in tendons is very important to maintain the health of the pre-stressed concrete (PSC) structures. In this study, a numerical simulation is conducted to find the feasibility of detecting corrosions by using an electric signal. For the numerical simulation, COMSOL multi-physics program which can apply the electric signal is used. The simulation is performed by modeling a set of pre-stressing tendons and ducts placed inside of the PSC structure. The ducts are filled with cement grout, and the corrosions are assumed to occur on the pre-stressing tendons. The electric signal applied at a starting point of the PSC ducts and reflected signal at the positions of corrosions is analyzed. It is confirmed that the electric signa...
J U Lee, S S Bang, S H Yoon, Y-J Shin and Y M Lim
Institute of Physics (IOP)
1757-8981
17578981
1757-899X
1757899X
shingle_catch_all_4 Detection of Defect in Tendon for Pre-stressed Concrete Structures using Electric Signal; Numerical Simulation Studies
The pre-stressing in concrete structures is a popular construction method these days. One of the main problems is degradation of the structures due to the corrosion of the pre-stressing tendon that frequently generates serious damage. Hence, the corrosion detection in tendons is very important to maintain the health of the pre-stressed concrete (PSC) structures. In this study, a numerical simulation is conducted to find the feasibility of detecting corrosions by using an electric signal. For the numerical simulation, COMSOL multi-physics program which can apply the electric signal is used. The simulation is performed by modeling a set of pre-stressing tendons and ducts placed inside of the PSC structure. The ducts are filled with cement grout, and the corrosions are assumed to occur on the pre-stressing tendons. The electric signal applied at a starting point of the PSC ducts and reflected signal at the positions of corrosions is analyzed. It is confirmed that the electric signa...
J U Lee, S S Bang, S H Yoon, Y-J Shin and Y M Lim
Institute of Physics (IOP)
1757-8981
17578981
1757-899X
1757899X
shingle_title_1 Detection of Defect in Tendon for Pre-stressed Concrete Structures using Electric Signal; Numerical Simulation Studies
shingle_title_2 Detection of Defect in Tendon for Pre-stressed Concrete Structures using Electric Signal; Numerical Simulation Studies
shingle_title_3 Detection of Defect in Tendon for Pre-stressed Concrete Structures using Electric Signal; Numerical Simulation Studies
shingle_title_4 Detection of Defect in Tendon for Pre-stressed Concrete Structures using Electric Signal; Numerical Simulation Studies
timestamp 2025-06-30T23:37:19.863Z
titel Detection of Defect in Tendon for Pre-stressed Concrete Structures using Electric Signal; Numerical Simulation Studies
titel_suche Detection of Defect in Tendon for Pre-stressed Concrete Structures using Electric Signal; Numerical Simulation Studies
topic ZL
uid ipn_articles_6355168