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 signal varied as the corrosion rates changed. When the corrosion rate increased, the reflected electric signal tended to increase as well. As the corrosion detecting method is developed further, the method can be applied on pre-stressing concrete structures based on the numerical simulation modeling and results.
|Journal||IOP Conference Series: Materials Science and Engineering|
|Publication status||Published - 2018 Nov 15|
|Event||14th International Conference on Concrete Engineering and Technology, CONCET 2018 - Kuala Lumpur, Malaysia|
Duration: 2018 Aug 8 → 2018 Aug 9
Bibliographical noteFunding Information:
This research was supported by the EDucation-research Integration through Simulation On the Net (EDISON) Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2014M3C1A6038855). This research was supported by a grant(code17AWMP-B127576-01) from Advanced Water Management Research Program (AWMP) funded by Ministry of Land, Infrastructure and Transport of Korean government
© Published under licence by IOP Publishing Ltd.
All Science Journal Classification (ASJC) codes
- Materials Science(all)