David Prevatt

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Professor

University of Florida

United States

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About

David Prevatt is a Professor at the University of Florida, United States. His research primarily focuses on wind uplift resistance, aerodynamic studies of low-rise buildings, and the empirical assessment of hurricane fragility in residential structures. He has contributed to advancements in predictive modeling of severe weather impacts using machine learning techniques.

Recent Grants

Grant: Close

EAGER: Operationalization of the Structural Extreme Events Reconnaissance (StEER) Network

Open Date: 2018-10-01

Close Date: 2020-09-30

Grant: Close

RAPID: Coordinated Structural Engineering Reconnaissance for 2017 Hurricane Irma

Open Date: 2017-10-01

Close Date: 2019-09-30

Grant: Close

RAPID: Multi-Hazard Performance of Load Bearing Wall Systems: A Case Study in Haiti following the January 2010 Earthquake and October 2016 Hurricane Matthew

Open Date: 2016-12-15

Close Date: 2017-11-30

Grant: Close

Natural Hazards Engineering Research Infrastructure: Experimental Facility with Boundary Layer Wind Tunnel, Wind Load and Dynamic Flow Simulators, and Pressure Loading Actuators

Open Date: 2016-01-01

Close Date: 2020-12-31

Grant: Close

CAREER: Tornado-Resilient Structural Retrofits for Sustainable Housing Communities

Open Date: 2012-03-01

Close Date: 2018-01-31

Articles (12)

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2025

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2024

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2024

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2024

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2024

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2024

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2024

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2024

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2024

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2024

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2020

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2020

Collaborators (5)

David Roueche

Assistant Professor

Auburn University

UNITED STATES

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Clara Saluena

Associate professor (Titular de Universidad)

Universitat Rovira i Virgili

SPAIN

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Alexandre Fabregat Tomas

Associate Professor

Universitat Rovira i Virgili

SPAIN

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Frederick Haan

Professor

Calvin University

UNITED STATES

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Amal Elawady

Florida International University

UNITED STATES

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David Prevatt

Research Interests

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About

Recent Grants

Articles (12)

Wind Uplift Resistance of Discontinuous Metal Roofing Systems: Literature Review and Experimental Research

Empirical hurricane fragility assessment of elevated and slab-on-grade residential houses

Predictive modeling of severe weather impact on individuals and populations using Machine Learning

A Unified Multievent Windstorm Performance Testbed for Single-Family Residential Buildings

Aerodynamic and codification study of low-rise buildings: Part I - Fully elevated structures

Aerodynamic and codification study of low-rise buildings: Part II - Partially elevated structures

Aerodynamic and codification study of low-rise buildings: Part I - Fully elevated structures

Aerodynamic and codification study of low-rise buildings: Part II - Partially elevated structures

Empirical hurricane fragility assessment of elevated and slab-on-grade residential houses

Predictive modeling of severe weather impact on individuals and populations using Machine Learning

Tornado-Induced and Straight-Line Wind Loads on a Low-Rise Building With Consideration of Internal Pressure

Wind Resistance and Fragility Functions for Wood-Framed Wall Sheathing Panels in Low-Rise Residential Construction

Collaborators (5)

David Roueche

Clara Saluena

Alexandre Fabregat Tomas

Frederick Haan

Amal Elawady

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