Tag Archives: Casey Dietrich
Predictive Multi-Hazard Hurricane Data-Based Fragility Model for Residential Homes

Thirty-nine combinations of global damage response variables were investigated. Of these models, six DS and one complete failure model met the evaluation criteria. Maximum significant wave height was the only significant hazard variable for the DS models, while maximum 3-s gust wind speed, maximum surge depth, and maximum water speed were found to be significant predictors for the complete failure model. Model prediction external accuracy ranged from 81% to 87%.
Visitors from Johnson C Smith University to CCHT

Dr. Dietrich poses with JCSU students and faculty outside of Mann Hall.
PREEVENTS Project Meeting in Chicago

Johnathan Woodruff, Zachariah Silver, Casey Dietrich, Autumn Poisson, Andrew Kennedy, Amirhosein Begmohammadi, Thomas Sherman, and Dam Wirasaet.
News: Dietrich Promoted to Associate Professor
Faculty Promotions
We are pleased to announce that we have had several faculty promoted during this year in recognition of their excellent contributions to research and teaching.
Dr. Casey Dietrich was promoted to Associate Professor with tenure. Dietrich, who leads the Coastal and Computational Hydraulics Team has developed computational models that predict storm surge and coastal flooding. He teaches courses in fluid mechanics and coastal engineering.
Conference: ADCIRC 2019
Analytic Solution for Wind-Driven Setup
However, we found an error in their solution for wind-driven setup on a polar domain. It appears to be a typographical error — the variables are not updated correctly at the last step, when the solution is generalized for a wind with arbitrary direction. This solution is not used frequently, and we did not find a correction to this error in the literature (although we were unable to access every subsequent manuscript that cited the Lynch and Gray solution). So we are documenting it here.
Influence of Storm Timing and Forward Speed on Tides and Storm Surge during Hurricane Matthew
