UROP Project
Hurricane-Resilient Design of Onshore Flexible Structures via ML-Assisted Aerodynamic Optimization
optimization, machine learning, structures, wind, wave, hurricanes
Research Mentor: Pedro Fernandez-Caban,
Department, College, Affiliation: Civil and Environmental Engineering, FAMU-FSU College of Engineering
Contact Email: plf22a@fsu.edu
Research Assistant Supervisor (if different from mentor): Arezoo Bakhshizadeh
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email: ab22cd@fsu.edu
Department, College, Affiliation: Civil and Environmental Engineering, FAMU-FSU College of Engineering
Contact Email: plf22a@fsu.edu
Research Assistant Supervisor (if different from mentor): Arezoo Bakhshizadeh
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email: ab22cd@fsu.edu
Looking for Research Assistants: Yes
Number of Research Assistants: 2
Relevant Majors: Civil Engineering, Mechanical Engineering, Industrial Engineering, Computer Science
Project Location: FAMU-FSU College of Engineering
Research Assistant Transportation Required: FSU Bus (Seminole Express) Remote or In-person: Partially Remote
Approximate Weekly Hours: 10, Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Roundtable Times and Zoom Link:
Not participating in the roundtable
Number of Research Assistants: 2
Relevant Majors: Civil Engineering, Mechanical Engineering, Industrial Engineering, Computer Science
Project Location: FAMU-FSU College of Engineering
Research Assistant Transportation Required: FSU Bus (Seminole Express) Remote or In-person: Partially Remote
Approximate Weekly Hours: 10, Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Roundtable Times and Zoom Link:
Not participating in the roundtable
Project Description
During hurricanes, extreme wind and storm surge conditions are the main environmental forces affecting civil infrastructure in coastal regions. In particular, lightweight, tall, and slender structures (e.g., transmission/communication towers, light poles, etc.) are sensitive to the variable and dynamic nature of wind and wave action. Therefore, predicting and optimizing the performance of such structures remains an ongoing challenge. This UROP project investigates novel ML-assisted optimization strategies that account for the combined effects of wind and waves and their interaction with coastal structures.Research Tasks: -Literature review
-CFD simulation and wind tunnel testing
-Data processing and analysis
Skills that research assistant(s) may need: -Python (JupyterLab) - Required
-Excel - Required
-Latex (Overleaf) - Recommended