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Florida Tech Senate Award for Excellence in Research

Dissertation: "Development of Energy Dissipating Cladding Connections for Passive Control of Building Seismic Response"

American Association for Wind Engineering : Member

American Concrete Institute : Member

American Society of Civil Engineers : Member

American Society of Engineering Education : Member

Earthquake Engineering Research Institute : Member

French Society of Seismic Engineering, France : Member

Modeling the Influence of Flood Mitigation Measures on the Vulnerability of Coastal Residential Construction

Enhancing Research in Natural Hazards Engineering Through the DesignSafe Cyberinfrastructure

Disaster Risk Management Through the DesignSafe Cyberinfrastructure

Uncertainty Reduction Through Data Management in the Development, Validation, Calibration, and Operation of a Hurricane Vulnerability Model

Testing and modeling of hurricane wind-driven rain water ingress, propagation, and subsequent interior damage in residential buildings

Vulnerability of Florida residential structures to hurricane induced coastal flood

Hurricane Michael in the Area of Mexico Beach, Florida

Experimental Investigation of Wind-Driven Rain Propagation in a Building Interior

Characterization of Coastal Flood Damage States for Residential Buildings

The effects of extreme winds on atmospheric storage tanks

Dr. Jean-Paul Pinelli is a professor of civil engineering at Florida Tech. He graduated from the University of Buenos Aires and obtained his Master's and Ph.D. degrees in civil engineering from Georgia Tech.

His original background is in seismic engineering, but after moving to Florida, he started investigating the effects of tornadoes and hurricanes on structures, and he founded and leads the Wind and Hurricane Impact Research Lab (WHIRL) at Florida Tech, where his research focuses on issues of wind and hurricane risk and mitigation.

He leads the engineering team of the Florida Public Hurricane Loss Model, which predicts insurance hurricanes losses in Florida.  As such, he has published in the areas of hurricane vulnerability, risk modeling and interior and contents damage estimation, among other topics.

Dr. Pinelli is part of a team funded by NIST to develop a new generation of wireless instrumentation for characterizing wind pressures on structural and non-structural building components.

He is also a co-principal investigator in the NHERI cyberinfrastructure, DesignSafe-ci, funded by NSF where he leads the data use case team and has published papers on data management, related to risk modeling and disaster risk management.

Storm Mitigation Measures

Insurance Loss

Data Management

Rain Interior Damage

Vulnerability Models

Risk Analysis

Hurricane-Structure Interaction

Post-Storm Cleanup

French

Spanish

Italian

Portuguese

University Faculty Profile

Wind Hazard and Infrastructure Performance Center Profile

ORCID Profile

ResearchGate Citations

Google Scholar Citations

Florida Tech Professor Collaborates on DesignSafe, a Web-Based Natural Hazard Research Platform

Florida Tech to study how Tropical Storm Isaias' winds impact Satellite Beach house

Hurricanes Irma and Harvey have racked up billions in damages. Who pays?

Irma needed little hurricane fury to smash Orlando area

Professor | Mechanical and Civil Engineering

February 23, 2022 | 1:00pm - 2:00pm CT

ABOUT THE WEBINAR

A program of large- and full-scale measurements, both in large-scale experimental facilities and in the field is under way to better understand the interaction of strong winds with non-structural building components like roofing, soffit, cladding, and openings. A new generation of wireless sensors network (WSN) is enabling these measurements. The better characterization of the component pressures due to wind speed shall lead to:

-- more accurate and realistic design models for building components;
-- improved load specifications, like ASCE 7; and,
-- safer and more economical structures, and in general to more resilient and sustainable communities.

The testing program at the Wall of Wind generated very large datasets, which were hosted, curated, and published in DesignSafe. A network of up to 30 sensors, including 1 anemometer, can deploy and gather pressure, temperature, and humidity data, at a rate of up to 100 sample per minute per sensor, for 50 hours or more. We shall present the entire workflow facilitated by DesignSafe, from inception of the tests to publication of the data, including a novel set of Jupyter notebooks, to query, process, visualize, analyze, and correlate data from either laboratory or field events databases. These notebooks address the challenge of dealing with large datasets with different types and format of data. The notebooks and the data are published in DesignSafe. Potential users will be able to emulate our workflow and re-use these published notebooks for developing their own notebooks for accessing, visualizing, and analyzing similar sets of data.

The presentation will include a summary of the project, a description of the workflow and the associated notebooks, a demonstration of the main features of the notebooks, followed by a short hands-on activity to illustrate potential re-use of the notebooks.

PRESENTERS

Jean-Paul Pinelli is professor of the Mechanical and Civil Engineering department at the Florida Institute of Technology. He leads the Wind and Hurricane Impact Research Laboratory at Florida Tech. His research interests include risk modeling, with applications to vulnerability of civil infrastructure to hurricane wind, rain, and storm surge; and, development and deployment of instrumentation for laboratory and field characterization of wind-structure interactions. He is one of the lead developers of the engineering component of the Florida Public Hurricane Loss Model. Prof. Pinelli is also a co-PI on the DesignSafe project.

Soundarya Sridhar has a Master of Science in Aerospace Engineering from Florida Tech, and is working on experimental fluids dynamics.

A Jupyter/Tapis workflow for processing, visualization, &amp; analysis of experimental &amp; field wind data

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