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McDonald-Mehta Lecture Series: Dr. Catherine Gorle
Computational fluid dynamics (CFD) can inform sustainable design of buildings and cities in terms of optimizing pedestrian wind comfort, air quality, thermal comfort, energy efficiency, and resiliency to extreme wind events. An important challenge is that the accuracy of predictions can be compromised by the complexity of the flow physics and the large natural variability that are characteristic of urban flow problems. 

Gorle's talk will present an investigation of the potential of large-eddy simulations (LES) towards predicting peak wind pressure loads on high rise-buildings. First, the emphasis is on validation of LES predicted wind pressures against wind tunnel measurements. This validation exercise demonstrates that LES can accurately predict the complex bluff body flow physics, while also revealing the non-negligible influence of uncertainty in the wind tunnel boundary layer on the predicted wind pressures. 

Next, the focus shifts to validation against full-scale pressure measurements on two high-rise buildings. The results largely confirm the findings of the wind tunnel validation study, but they also reveal the additional challenges introduced by the natural variability in the field. The unique capability of LES results for providing insights into the flow physics that govern extreme suction events will be demonstrated throughout the talk. She will conclude the talk by highlighting the benefits of methodological convergence for the analysis of wind effects on buildings. 

Dr. Gorle's research activities focus on the development of predictive computational fluid dynamics (CFD) simulations to support the design of sustainable buildings and cities. Specific topics of interest are: the coupling of large- and small-scale models and experiments to quantify uncertainties related to the variability of boundary conditions, the development of uncertainty quantification methods for low-fidelity models using high-fidelity data, and the use of data assimilation to improve CFD predictions. 

She received her BSc (2002) and MSc (2005) degrees in Aerospace Engineering from the Delft University of Technology, and her PhD (2010) from the von Karman Institute for Fluid Dynamics in cooperation with the University of Antwerp. She has been the recipient of a Stanford Center for Turbulence Research Postdoctoral Fellowship (2010), a Pegasus Marie Curie Fellowship (2012), and an NSF CAREER award (2018).
Posted:
11/15/2023

Originator:
Natalie Trout

Email:
ntrout@ttu.edu

Department:
National Wind Institute

Event Information
Time: 2:00 PM - 3:30 PM
Event Date: 11/15/2023

Location:
Maddox Building, Rm 102


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