Abstract
A novel location-dependent stochastic model is introduced for predicting the area of the corroded steel bars in the presence of transverse reinforcement. A 3D optical scanning technique was used to investigate the morphology and corrosion distribution patterns of different longitudinal steel rebars under various accelerated corrosion conditions. The result indicated that the existence of transverse bars significantly affects the corrosion pattern, which was not considered previously. Furthermore, it is shown that the Dagum probability function fits better to the scatter of areas. Utilizing zone-based lognormal function, a location-dependent stochastic model was developed to estimate the probable reduced rebars cross-section.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
