MS366 - Advancements in High-Fidelity and Data-Driven Approaches For computational wind engineering

Organized by: A. Kodakkal (Technical university of Munich, Germany), G. Bitsuamlak (Western University, Canada) and R. Wüchner (Technical university of Munich, Germany)
Keywords: computational wind engineering, data-driven methods, digital twin, fluid-structure interaction, high-fidelity simulation
Recent developments in computational wind engineering, numerical methods, and high-performance computing have matured to model and compute wind effects on structures accurately and efficiently via fully coupled wind-structure interaction. Advancements in high-fidelity wind simulations have resulted in more accurate modelling of complex aero-dynamic phenomena. These accurate simulations play a critical role in the performance and safety evaluation of buildings, bridges, flexible structures, membranes, etc. Complementing these developments, new data-driven techniques - including machine learning, surrogate modelling, and digital twins - are also interesting for how wind loads and structural response to wind loads are evaluated and monitored. Combining high-fidelity wind simulations with wind tunnel and real-world measurement data offers reliable and fast structural response prediction. The intersection of high-fidelity simulation with data-driven methods provides a chance for efficient preliminary design, structural design optimization, uncertainty quantification, real-time structural assessment, etc. In this context, this mini symposium aims to bring together experts from academia and industry to discuss recent progress in high-fidelity simulations, wind structure interaction methods, validation studies, and applications. Topics include (but are not limited to) high-fidelity wind simulations, structural response prediction, reduced-order modelling, real-time response prediction of structures, digital twins under wind, hybrid simulation frameworks, data-driven FSI, and case studies on tall buildings, long-span bridges, wind turbine towers, membrane structures, etc. Interdisciplinary submissions from both academia and industry are encouraged.