![[2602.20714] WeirNet: A Large-Scale 3D CFD Benchmark for Geometric Surrogate Modeling of Piano Key Weirs](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
[2602.20714] WeirNet: A Large-Scale 3D CFD Benchmark for Geometric Surrogate Modeling of Piano Key Weirs
Summary
WeirNet introduces a comprehensive 3D CFD benchmark dataset for modeling the hydraulic performance of Piano Key Weirs, facilitating faster and more efficient design processes.
Why It Matters
This research addresses the challenge of predicting hydraulic performance in weir design, a critical aspect of hydraulic engineering. By providing a large, well-documented dataset, it enables researchers and engineers to develop more effective surrogate models, thus improving the design and efficiency of hydraulic structures.
Key Takeaways
- WeirNet offers a dataset of 3,794 geometries for Piano Key Weirs, enhancing the modeling of hydraulic performance.
- The dataset includes 71,387 simulations, providing a robust foundation for developing surrogate models.
- Tree-based regressors on parametric descriptors yield the best accuracy for discharge coefficient predictions.
- The study highlights geometry shift as a major failure mode in out-of-distribution scenarios.
- Publicly releasing the dataset promotes reproducibility and accelerates hydraulic design exploration.
Computer Science > Machine Learning arXiv:2602.20714 (cs) [Submitted on 24 Feb 2026] Title:WeirNet: A Large-Scale 3D CFD Benchmark for Geometric Surrogate Modeling of Piano Key Weirs Authors:Lisa Lüddecke, Michael Hohmann, Sebastian Eilermann, Jan Tillmann-Mumm, Pezhman Pourabdollah, Mario Oertel, Oliver Niggemann View a PDF of the paper titled WeirNet: A Large-Scale 3D CFD Benchmark for Geometric Surrogate Modeling of Piano Key Weirs, by Lisa L\"uddecke and 6 other authors View PDF HTML (experimental) Abstract:Reliable prediction of hydraulic performance is challenging for Piano Key Weir (PKW) design because discharge capacity depends on three-dimensional geometry and operating conditions. Surrogate models can accelerate hydraulic-structure design, but progress is limited by scarce large, well-documented datasets that jointly capture geometric variation, operating conditions, and functional performance. This study presents WeirNet, a large 3D CFD benchmark dataset for geometric surrogate modeling of PKWs. WeirNet contains 3,794 parametric, feasibility-constrained rectangular and trapezoidal PKW geometries, each scheduled at 19 discharge conditions using a consistent free-surface OpenFOAM workflow, resulting in 71,387 completed simulations that form the benchmark and with complete discharge coefficient labels. The dataset is released as multiple modalities compact parametric descriptors, watertight surface meshes and high-resolution point clouds together with standardized ...
