3 papers
physics.flu-dyn2026
Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic Surrogates
Chundong Jia, Chao Xia, Alexey Vdovin +3
High-fidelity computational fluid dynamics (CFD) provides detailed aerodynamic data for vehicle design, but its cost limits design iteration. Neural-operator surrogates reduce this…
physics.flu-dyn2026
Near-real-time, meter-scale 3D urban wind modeling for low-altitude micrometeorology: numerical verification of a GPU-accelerated lattice Boltzmann framework
Shuai Han, Huanxia Wei, Yue Cao +8
This study presents a near-real-time, meter-scale three-dimensional urban wind simulation framework for low-altitude flight events in complex urban meteorological environments. It…
physics.flu-dyn2026
U3DWind: A Low Altitude Wind Field Dataset and Benchmark for Urban Air Mobility
Shixiong Zhou, Huanxia Wei, Chao Xia +4
Urban Air Mobility (UAM) requires reliable assessment of low-altitude wind hazards, because winds, gusts, and building-induced turbulence have been recognized as critical factors a…