Date of Award
7-2017
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Engineering and Sciences
First Advisor
Luis Daniel Otero
Second Advisor
Aldo Fabregas Ariza
Third Advisor
Munevver Subasi
Fourth Advisor
Muzaffar Shaikh
Abstract
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.
Recommended Citation
Leesman, Gabrielle Sue, "Concept of Operations and High Level Requirements Framework for the Development of a Computational Tool for Bridge Deterioration Analysis" (2017). Theses and Dissertations. 838.
https://repository.fit.edu/etd/838
Comments
Copyright held by author