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Federal Waterways Engineering and Research Institute, Karlsruhe, Germany 1,2,3firstname.lastname@hsu-hh.de 4firstname.lastname@baw.de Abstract Reliable prediction of hydraulic performance remains a central challenge in designing Piano Key Weirs because discharge capacity depends sensitively on three-dimensional geometry and operating conditions. Data-driven surrogate models can accelerate hydraulic-structure design, but progress is limited by the scarcity of large, well-documented datasets that jointly capture geometric variation, operating conditions, and functional performance. This study presents WeirNet, a large-scale, Federal Waterways Engineering and Research Institute
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Unlock orders-of-magnitude speedups in hydraulic structure design with WeirNet, a massive 3D CFD dataset that lets you predict Piano Key Weir performance using fast geometric surrogate models.