MS366A Advancements in High-Fidelity and Data-Driven Approaches For computational wind engineering I
Main Organizer:
Mr.
Anoop Kodakkal
(
Technical university of Munich
, Germany
)
Chaired by:
Prof. Roland Wüchner (Technical University of Munich (TUM) , Germany) , Mr. Anoop Kodakkal (Technical university of Munich , Germany)
Prof. Roland Wüchner (Technical University of Munich (TUM) , Germany) , Mr. Anoop Kodakkal (Technical university of Munich , Germany)
Scheduled presentations:
-
High-fidelity and data-driven approach to evaluate wind effects on structures
-
Wind-resistant design of long-span bridges via deep learning emulation of flow fields
-
CFD Analysis of Critical Wind Zones Affecting Street Vegetation in Extreme Weather Conditions: A Madrid Case Study
-
From Turbulent Inflow to Farm-Scale Performance: Wake Dynamics in Horizontally Staggered Wind Farms
-
Analysis of NREL-5MW Floating offshore wind turbine under different incoming turbulent characteristic
