TY - GEN
T1 - Reliability-informed probabilistic analysis of corroded RC structure
AU - Guo, Hongyuan
AU - Dong, You
N1 - Publisher Copyright:
© 2021 Taylor & Francis Group, London
PY - 2021/4
Y1 - 2021/4
N2 - Under the marine atmospheric environment, reinforced concrete (RC) structures are subjected to chloride-induced corrosion, which could lead to financial loss and bring a huge challenge to the life-cycle design and maintenance. In this paper, a spatial deterioration model is developed for the corroded RC beam under marine environment by considering the scenarios of changing climate and the random filed of physical parameters (e.g., chloride transport coefficient and corrosion current density). Karhunen-Loève (KL) expansion is adopted to conduct simulation of the random field. An illustrative example of flexural RC beam under marine atmospheric environment is assessed to present the output and verify the feasibility of the developed method. Monte Carlo simulation (MCS) is employed to compute the probability distribution of ultimate bending capacity. Meanwhile, a sensitivity analysis is carried out to assess the influences of different factors (e.g., compressive strength of concrete and yield strength of steel bar) on ultimate bending capacity. Also, reliability analysis is conducted to study the influences of spatial effects on time-dependent failure probability.
AB - Under the marine atmospheric environment, reinforced concrete (RC) structures are subjected to chloride-induced corrosion, which could lead to financial loss and bring a huge challenge to the life-cycle design and maintenance. In this paper, a spatial deterioration model is developed for the corroded RC beam under marine environment by considering the scenarios of changing climate and the random filed of physical parameters (e.g., chloride transport coefficient and corrosion current density). Karhunen-Loève (KL) expansion is adopted to conduct simulation of the random field. An illustrative example of flexural RC beam under marine atmospheric environment is assessed to present the output and verify the feasibility of the developed method. Monte Carlo simulation (MCS) is employed to compute the probability distribution of ultimate bending capacity. Meanwhile, a sensitivity analysis is carried out to assess the influences of different factors (e.g., compressive strength of concrete and yield strength of steel bar) on ultimate bending capacity. Also, reliability analysis is conducted to study the influences of spatial effects on time-dependent failure probability.
UR - http://www.scopus.com/inward/record.url?scp=85117580835&partnerID=8YFLogxK
U2 - 10.1201/9780429279119-253
DO - 10.1201/9780429279119-253
M3 - Conference article published in proceeding or book
AN - SCOPUS:85117580835
T3 - Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations - Proceedings of the 10th International Conference on Bridge Maintenaince, Safety and Management, IABMAS 2020
SP - 1862
EP - 1867
BT - Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations - Proceedings of the 10th International Conference on Bridge Maintenaince, Safety and Management, IABMAS 2020
A2 - Yokota, Hiroshi
A2 - Frangopol, Dan M.
PB - CRC Press Balkema
T2 - 10th International Conference on Bridge Maintenaince, Safety and Management, IABMAS 2020
Y2 - 11 April 2021 through 15 April 2021
ER -