4 papers
The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows
Alberto Solera-Rico, Patricia GarcÃa-Caspueñas, Carlos Sanmiguel Vila +1
Model-based active flow control requires predictive models that are accurate, stable, and fast enough for real-time optimisation. In controlled wake flows, this is often achieved t…
Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization
Isaac Robledo, Alberto Vilariño, Arnau Miró +3
Active multi-fidelity surrogate modeling is developed for multi-condition airfoil shape optimization to reduce high-fidelity CFD cost while retaining RANS-consistent aerodynamic me…
Signal-Aware Conditional Diffusion Surrogates for Transonic Wing Pressure Prediction
VÃctor Francés-Belda, Carlos Sanmiguel Vila, Rodrigo Castellanos
Accurate and efficient surrogate models for aerodynamic surface pressure fields are essential for accelerating aircraft design and analysis, yet deterministic regressors trained wi…
Reducing base drag on road vehicles using pulsed jets optimized by hybrid genetic algorithms
Isaac Robledo, Juan Alfaro, VÃctor Duro +3
Aerodynamic drag on flat-backed vehicles like vans and trucks is dominated by a low-pressure wake, whose control is critical for reducing fuel consumption. This paper presents an e…