The most important scientific and technical challenges require synergy and contamination to be met. Likewise those between mathematics and several engineering fields.  Gianluigi Rozza (www.people.sissa.it/~grozza), Full Professor in Numerical Analysis and Scientific Computing at SISSA MathLab, will inaugurate the Solari Lectures, invited by the Italian Association for Wind Engineering (ANIV, www.aniv-iawe.org), and under the umbrella of the International Association for Wind Engineering (www.iawe.org). The Solari Lectures aims at celebrating and renewing the longest lasting legacy of Giovanni Solari , one of the fiunding fathers in the field: innovating Wind Science and Engineering by excellent studies. The Solari Lectures are dedicated to emerging, innovative topics in and around the broad field of Wind Engineering, reported by excellent scholars. The first Solari Lecture will be title “Reduced-Order Models in Wind Engineering: fundamentals and applications”. You can find below the abstract of the Lecture. We hope it could be of your interest, and warmly invite you to participate.The Lecture will anticipate and ideally open the forthcoming international conference IN-VENTO 2022 (www.in-vento2022.org). The event will take place on Sunday, September 4^th 2022 from 17 to 18.30 CET, in the Lecture Hall De Carli, Campus Bovisa, Politecnico di Milano. Participation to the Lecture is free.

You can find more information on the following webpages:

• Linkedin;
• ANIV website;
• IN-VENTO 2022 website;
• IAWE website.

Reduced-Order Models in Wind Engineering: fundamentals and applications — Gianluigi Rozza —

ABSTRACT.

Engineers are continuously called to build simplified models of intricate problems and phenomena. They traditionally apply the so-called Simplified Physics Approach to build models and codify them. Wind Engineers often employ Proper Orthogonal Decomposition (POD), also in the wake of the referential works of Giovanni Solari. The so-called Reduced Order Models include the above and many other approaches. ROMs are useful to provide a deep insight into huge amount of experimental data harvested from wind tunnel tests or computational simulations, and/or to surrogate expensive high-fidelity models in uncertainty quantification, optimization or design-oriented applications. The lecture will provide a wide rigorous general modelling framework, and discuss the past, present and future applications in bluff body aerodynamics and wind engineering.