Affiliations: Department of Civil Engineering, National Institute of Technology Silchar, Assam, India
Corresponding author. Arjun Sil, Department of Civil Engineering, National Institute of Technology Silchar,
Assam, India. E-mail: [email protected].
Abstract: This paper describes a probabilistic approach to estimate the conditional failure probability of the existing bridges in Assam based on the present condition inspected data. The bridges are categorized considering Indian Road Congress (IRC) Bridge Maintenance Inspection manual and National Bridge Inventory System (NBIS), through implementing visual inspection method leading to condition assessment of the bridges available in the study area. Condition rating of the bridges considered mainly concrete decks and diverse roadways such as both rural and highways that helps in analyzing time-in-condition rating, reliability, and hazard function of the deck components. The Anderson-Darling (AD) test was adopted to find the suitable probabilistic models and shown that Weibull distribution becomes the best fit. However, the main importance is given on the maturity of the bridge which helps in evaluating the time-dependent probability of failure. These estimates would help researcher and practicing engineers in carrying out service life in long term analysis for bridge design, maintenance policy, and replacement decision of the study area in a cost-effective plan strategy with appropriate direction or solution in the bridge management system considering safety aspects in the study area.