Survival Analysis Using Cox Proportional Hazards Regression for Pile Bridge Piles Under Wet Service Conditions

This paper studies the deterioration of bridge substructures utilizing Long-Term Bridge Performance (LTBP) Program InfoBridgeTM and develops a survival model using Cox proportional hazards regression. The analysis is based on National Inventory (NBI) dataset. study calculates rate reinforced prestressed concrete piles bridges under marine conditions over 29-year span (from 1992 to 2020). state Maryland primary focus this study, with data from three neighboring regions, District Columbia, Virginia, Delaware expand sample size. obtained are condensed filtered acquire most relevant information for development. regression applied NBI six parameters: Age, ADT, ADTT, number spans, length, structural length. Two models generated substructures: Reinforced in wet service Maryland, Delaware, Virginia. Results used construct Markov chains demonstrate sequence substructures. can be as tool assist prediction decision-making repair, rehabilitation, replacement piles. Based numerical model, Pile Assessment Matrix (PAM) developed facilitate assessment maintenance current structures. program integrates database inspection research reports various states’ department transportation, serve condition simulation or rehabilitation strategies.