Graduation Semester and Year
Summer 2024
Language
English
Document Type
Thesis
Degree Name
Master of Science in Civil Engineering
Department
Civil Engineering
First Advisor
Dr. Nur Yazdani
Second Advisor
Dr. RAAD AZZAWI
Third Advisor
Dr. ANTONIO JUAN BALDERREMA
Fourth Advisor
DR EYOSIAS SOLOMON BENEBERU
Abstract
The development of predictive models for bridge deterioration is crucial for ensuring the longevity and safety of transportation infrastructure. Bridge condition degradation is heavily influenced by environmental conditions. This research integrates various environmental variables such as rainfall, humidity, air temperature, coastal influence, and freezing effects to generate environmental risk scores. These scores help in developing environmental risk zones within the Texas region. Deck condition ratings from the National Bridge Inventory (NBI) database are used to develop deterioration models using linear regression and the Markov method. The results highlight the impact of different environmental risk zones on bridge degradation patterns and provide insights into optimizing resource allocation for maintenance.
Keywords
Bridge Deterioration, Environmental Factors, Regression Analysis, Markov Method, Predictive Models, TxDOT, Natonal Bridge Inventory (NBI)
Disciplines
Civil Engineering | Structural Engineering
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
QUADRI, MOHAMMAD WASIF, "Statistical Analysis on the Effects of Environmental Factors on Bridge Condition Rating in Texas" (2024). Civil Engineering Theses. 315.
https://mavmatrix.uta.edu/civilengineering_theses/315
Comments
I'm deeply grateful to my advisor, Dr. Nur Yazdani, for his unwavering support and guidance throughout my research and academic journey. His mentorship has been invaluable. I would also like to thank my committee members, Dr. Raad Azzawi and Dr. Antonio Balderrema, for their consistent reviews and essential support.
A special thanks to my supervisor, Dr. Eyosias Beneberu, whose inspiration and guidance helped lay the groundwork for my research from the very beginning.