Project

Mitigating Wind-Induced Vibrations in Curtainwall Systems

Full Title: Full-scale experimentation and computational modelling to mitigate wind-induced vibrations and their effects on curtainwall window systems
This project focuses on mitigating wind-induced vibrations and water ingress in curtainwall window systems through full-scale testing and computational modeling. The research aims to enhance building codes and design practices, providing safer and more resilient solutions for high-rise buildings in extreme wind zones.
Lead Investigator: Dr. Arindam Gan Chowdhury, Florida International University, chowdhur@fiu.edu
Project Team: • Dr. Peter Irwin, Florida International University • Dr. Seung Jae Lee, Florida International University • Mr. Federico Gerasmo, Permasteelisa North America Corporation
Collaborator: Permasteelisa North America Corporation
Award Amount: $200,000
Year Funded: 2024
Award Period: 02/01/2018 to 01/31/2021
Project Abstract:

The project aims to develop tools to evaluate and mitigate risks of operable window systems in extreme winds. It involves full-scale testing at FIU’s Wall of Wind facility to produce data for risk and performance assessment tools addressing wind-induced vibrations and water ingress. The project will enhance building codes and design practices for curtainwall windows, benefiting the curtainwall and building envelope industry by providing advanced computational structural analysis tools.

More To Explore

The project focuses on understanding the dynamics of coral reef fish assemblages in South Florida by developing a spatially explicit model that incorporates recreational fisher behavior. This model will help in examining the impacts of different management scenarios on the fishery ecosystem.
This project focuses on restoring oyster habitats in Apalachicola Bay to promote sustainable oyster populations and fisheries. It integrates community involvement and scientific research to enhance restoration techniques and management practices.
This project develops smartphone-enabled qPCR technology to enhance the detection and monitoring of harmful algal blooms in the Gulf of Mexico. By integrating this technology into citizen science programs, it aims to improve data accuracy and timeliness, contributing to better management and mitigation of red tide impacts.