Comparative Probabilistic Initial Bridge Load Rating Model

Abstract

A model that applies to initial bridge load ratings based on allowable stress, load factor, and load and resistance factor design is presented. The prognostic component calculates bridge load ratings probabilistically considering random variables representative of load and resistance effects. The diagnostic component helps to point out the sensitivity rankings of these input parameters. Monte Carlo simulation and Bayesian networks are the tools employed in this bidirectional model. The model is applied to a beam in a prestressed concrete bridge at the beginning of its service life to demonstrate conclusions related to its applicability as a tool in areas related to bridge design and load rating.