Date of Award


Document Type


Degree Name

Master of Science (MS)


Computer Engineering and Sciences

First Advisor

Luis Daniel Otero

Second Advisor

Aldo Fabregas Ariza

Third Advisor

Munevver Subasi

Fourth Advisor

Muzaffar Shaikh


In developing the lifecycles of a system, maintenance and support must be considered. Associated with this portion of the life cycle are periods between needs of maintenance and the cost of each type of maintenance. Previously a few state deterioration models have been created separately to better predict these maintenance cycles for varying ages, materials, traffic flow, and environmental conditions in the deck, substructure, and superstructure of bridges. A particular analysis tool from previous studies involves the development of Markov Chain (MC) models. This paper presents a systematic process to develop MC bridge deterioration models for state/federal transportation agencies. A stepby- step implementation of the process to develop MC bridge deterioration models using data provided by the National Bridge Inventory (NBI) will be assessed. A description of a computational procedure created in Microsoft Excel will also provide an initial analyses of each states bridge deck deterioration models and areas of further study to ensure a more accurate deterioration prediction model.


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