It has been common practice to install fiber cement panels and trim in direct, intimate contact against water resistive barriers. This may present localized points of failure in the longevity or durability of the building envelope when wood-based sheathings are used.
How might we assess latent risk in the built environment by using machine learning to analyze a commonly used construction assembly in the Northeast Florida?
thesis.pdf
— Final version of the thesis.chapters/
— Source files (LaTeX or Markdown) for each chapter.figures/
— Diagrams and plots used in the thesis.code/
— (If applicable) Code related to experiments or simulations.data/
— (If applicable) Raw or processed data.The thesis text is licensed under CC BY-NC-ND 4.0.
SeeLICENSE.md
for details.
Joel Esposito UF CityLab Jacksonville (“JaxLab”) 2025