About

Professor Kurtis Gurley is a faculty member at the Engineering School of Sustainable Infrastructure & Environment. The provided page text does not include specific details about his research focus, background, or key contributions. Therefore, there is no available biographical information to summarize.

Research topics

• Computer Science
• Engineering
• Aerospace engineering
• Data science
• Political Science
• Geography
• Mechanical engineering
• Geology
• Marine engineering
• Systems engineering
• Physics
• Engineering management
• Environmental resource management
• Meteorology
• Environmental science
• Cartography
• Simulation

Selected publications

• A model to predict hurricanes induced losses for residential structures

  2026-01-21 · 2 citations

  article

  This paper presents a practical probabilistic model for the projection of annualized damage costs to residential structures due to hurricanes. The estimation of the damage is accomplished by first defining the basic damage modes for components of specific building types and their probabilities of occurrence as functions of estimated wind speeds. The damage modes are then combined in possible damage states, whose probabilities of occurrence are calculated from Monte Carlo simulations carried on engineering numerical models of typical houses. Once this is done it is possible to estimate repair/replacement costs associated with building damage induced by windstorms. The calculation of damage (repair/replacement costs) allows us to estimate building vulnerabilities. Finally, we discuss and illustrate the estimation of expected losses for groups of buildings, including regional expected annual losses, and expected losses induced by a hurricane event. The probabilistic input is based on statistical surveys of the Florida building population, laboratory studies, post-damage surveys, insurance claims data, engineering analyses and judgment, and Monte Carlo simulation methods.

  PublisherDOI

• Modulating higher-order statistics of turbulent boundary layer wind fields using randomized grid roughness

  Journal of Wind Engineering and Industrial Aerodynamics · 2025-03-06 · 2 citations

  articleSenior author
  PublisherDOI

• A novel wind tunnel testing method for debris flight in turbulent winds

  Journal of Wind Engineering and Industrial Aerodynamics · 2025-07-22 · 1 citations

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• Advancements in the physical simulation of near-surface extreme wind phenomena using hybrid active-passive flow control in a large boundary layer wind tunnel

  Journal of Wind Engineering and Industrial Aerodynamics · 2025-02-19 · 6 citations

  articleSenior author
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• Numerical investigation of turbulence effect on flight trajectory of spherical windborne debris: A multi-layered approach

  Probabilistic Engineering Mechanics · 2024-06-27 · 4 citations

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• Virtual Exchange Embedded in a STEM Summer Camp Improved United States High School Students' Awareness of Filipino Culture

  2024-04-02 · 1 citations

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• Modeling of vortices in straight-line wind simulators

  Journal of Wind Engineering and Industrial Aerodynamics · 2024-12-17 · 3 citations

  articleSenior author
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• Component-based estimation of recovery time and time-related expenses after hurricane events

  Frontiers in Built Environment · 2024-01-12 · 5 citations

  articleOpen access

  Introduction: Due to hurricane damage, building residents or businesses must be relocated during the recovery time, which leads to time-related expenses (TRE), also known as additional living expenses (ALE) or extra expense coverage (EEC) or business interruption insurance (BIC). TRE are difficult to predict since they depend on the damage and time necessary to repair the building as well as on external factors such as damaged utilities and the availability of labor and materials, among other issues. Methods: In this study, we developed a new TRE hurricane vulnerability model for mid/high-rise buildings. The model combines estimates of repair time (Trepair), delay time (Tdelay), and utilities downtime (Tdown) to predict overall recovery time (Treco). Results: The outputs of the model include 1) TRE vulnerability matrices, which yield probabilities of Trepair, Tdelay, Tdown, Treco, and TRE conditional on either maximum 3-s wind speed or overall building damage ratio; 2) the corresponding vulnerability curves, which yield the mean values as a function wind speed or damage ratio. Discussion: Insurers can use these results to project TRE, and emergency managers and urban planners can use the recovery times to characterize the resilience of coastal communities. This paper summarizes the methodology and illustrates its implementation and results. The selected results of Treco are compared with the recovery times provided using the HAZUS-MH Hurricane Model.

  PublisherOA PDFDOI

• Physical simulation of downburst winds for civil structures: A review

  Journal of Wind Engineering and Industrial Aerodynamics · 2024-09-25 · 10 citations

  reviewSenior author
  PublisherDOI

• On active learning for Gaussian process-based global sensitivity analysis

  Reliability Engineering & System Safety · 2024-01-24 · 27 citations

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Recent grants

• Collaborative Research: Modeling Hurricane-Induced Windborne Debris to Reduce Damage in Urban Communities

  NSF · $424k · 2022–2026

• Full-Scale and Modeled Hurricane Wind Loads on Residential Structures

  NSF · $270k · 2009–2014

• Collaborative Research: Wind Tunnel Modeling of Higher-Order Turbulence and its Effects on Structural Loads and Response

  NSF · $431k · 2019–2024

Frequent coauthors

• Jean‐Paul Pinelli

  Florida Institute of Technology

  71 shared

• Shahid Hamid

  Florida International University

  41 shared

• Forrest J. Masters

  University of Florida

  26 shared

• Troy Tanner

  University of Florida

  22 shared

• David O. Prevatt

  University of Florida

  20 shared

• Jennifer L. Irish

  Center for Coastal Studies

  20 shared

• Scott B. Miles

  19 shared

• Jeffrey W. Berman

  19 shared