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In the past decade, FDOT has carried out network-level decisions through the utilization of AASHTO Pontis Bridge Management System. Like most states, Florida DOT had been previously using a customized version of the 1997 AASHTO CoRe Element Guide and developed its inspection, deterioration and cost frameworks using the 1997 capabilities. In compliance with the MAP-21 directive, Florida modified its procedures of bridge inspection data collection, cost, and deterioration and preservation models development based on the new AASHTO 2013 manual. This thesis research was aimed at developing a Semi-markov based preservation model based on the revised bridge inspection process. The changes however, required a revision of past deterioration models, both Markov and Semi-markov. Thus, transition probabilities based on the two-parameter Weibull distribution describing the natural deterioration of each element were generated and consequently, optimized preservation policies. This task required a review of Florida bridge data, creating a time-based deterioration model and thereafter, generating preservation actions to be taken on the bridge elements. A literature review of state DOT inspection and preservation manuals, the NBIS requirements, AASHTO BrM 5.2.1 documentation and other helpful publications was also conducted in the process. The network-level optimization model was established with the application of linear programming algorithms and stochastic theories.
Deterioration models, Linear programming, Optimization, Preservation models, Semi-Markov, Weibull distribution
Date of Defense
June 1, 2016.
A Thesis submitted to the Department of Civil and Environmental Engineering in partial fulfillment of the requirements for the degree of Master of Science.
Includes bibliographical references.
John Sobanjo, Professor Directing Thesis; Lisa Spainhour, Committee Member; Jung Sungmoon, Committee Member; Kamal Tawfiq, Committee Member.
Florida State University
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