| Grant number: | 22/06824-4 |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| Start date: | April 01, 2023 |
| End date: | March 31, 2026 |
| Field of knowledge: | Engineering - Aerospace Engineering |
| Principal Investigator: | André Valdetaro Gomes Cavalieri |
| Grantee: | Igor Albuquerque Maia |
| Host Institution: | Divisão de Engenharia Aeronáutica (IEA). Instituto Tecnológico de Aeronáutica (ITA). Ministério da Defesa (Brasil). São José dos Campos , SP, Brazil |
Abstract Wall-bounded turbulence is an extremely important class of problems in fluid mechanics, bothon account of its scientific interest and its huge technological importance. A large part of theenergy consumption in industrial and commercial activities worldwide is due to turbulence dissipation when moving fluids along pipes and channels, and vehicles through fluid media. This makesturbulent drag an important contributor to climate change, being responsible for tons of CO2 beingdumped into the atmosphere to sustain human activities. Understanding wall-bounded turbulentflows, and ultimately controlling them, is thus a matter of tremendous societal and environmental impact. However, this is made difficult by the inherent complexity of turbulent flows and thecurrent incomplete comprehension of the flow phenomena underlying turbulence, which hindersthe ability to propose efficient pathways to control. This post-doctoral project aims at addressing this problematic through reduced-order models for the dynamics, estimation and control of wall-bounded turbulent flows. The proposal builds on a recent model developed by the proposing supervisor based on a Galerkin projection of the Navier-Stokes equations. The objectives ofthe project are twofold: i) extending the model with the inclusion of flow structures not takeninto account by its current version, which would improve its agreement with flow data and leadto a better understanding of self-sustaining turbulent processes; ii) building a control frameworkwherein the proposed reduced-order-model is associated with nonlinear algorithms for estimation,based on Kalman filters, and control, based on adjoint optimizations. This framework is expectedto be computationally cheaper than those based on full systems, and potentially affordable in arealistic application. The results of the project are thus expected to contribute to the scientificcommunity and to the development of the national industry in general, aiming towards reducedenvironmental impact. (AU) | |
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