Abstract
Performance of corrosion-affected RC structures depends on the spatial variability of steel corrosion of reinforcing bars. The effect of spatial variability of steel corrosion on the remaining service life of concrete structures is significant. In this paper, an experimental study was conducted to investigate the effect of current density on the spatial variability of steel corrosion. This variability is modeled using Gumbel distribution derived from experiments and incorporated with FE method to estimate the yield loading capacity of RC beams. The results show that using Gumbel distribution parameters derived from the specimens with high current density may lead to an overestimation of load capacity of corroded RC beams.
| Original language | English |
|---|---|
| Publication status | Published - 2019 Jan 1 |
| Event | 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019 - Seoul, Korea, Republic of Duration: 2019 May 26 → 2019 May 30 |
Conference
| Conference | 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019 |
|---|---|
| Country | Korea, Republic of |
| City | Seoul |
| Period | 19/5/26 → 19/5/30 |
ASJC Scopus subject areas
- Civil and Structural Engineering
- Statistics and Probability
Fingerprint Dive into the research topics of 'Modeling spatial variability of steel corrosion using Gumbel distribution'. Together they form a unique fingerprint.
Cite this
Zhang, M., Lim, S., Akiyama, M., & Frangopol, D. M. (2019). Modeling spatial variability of steel corrosion using Gumbel distribution. Paper presented at 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019, Seoul, Korea, Republic of.