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Project Details

Title:Development of Age and State Dependent Stochastic Model for Improved Bridge Deterioration Prediction
Principal Investigators:Gaofeng Jia
University:Colorado State University
Grant #:69A3551747108 (FAST Act)
Project #:MPC-536
RiP #:01650583
RH Display ID:15696
Keywords:bridges, data mining, deterioration, inspection, maintenance, Markov chains, mathematical prediction, stochastic programming


To address the above challenges, this project aims to develop general age and state dependent stochastic deterioration models using inspection data for improved element-level condition deterioration prediction of bridges. Also, a Bayesian framework will be established to facilitate systematic and robust calibration of the deterioration models incorporating the inspection data and various uncertainties.

Project Word Files

NDSU Dept 2880P.O. Box 6050Fargo, ND 58108-6050