2026-10-14T22:53:16Z https://www.scidb.cn/oai

10.57760/sciencedb.45890 2026-08-11T10:43:21Z

2026-08-11 Point-Cloud Test Dataset for Multi-Configuration Hypersonic Surface-Pressure Prediction doi:10.57760/sciencedb.45890 en This dataset supports three-dimensional aircraft surface-pressure prediction, cross-configuration generalization, and transfer-learning evaluation. It contains four test subsets: 100 geometry–condition cases from the Space Shuttle family and 50 operating-condition cases each for the Spaceplane, Rocket, and Slender configurations, giving 250 cases in total. The combined operating envelope covers Mach numbers from 3.0 to 10.0 and angles of attack from −10.0° to 9.9°. All cases were generated using a common compressible inviscid Euler CFD workflow, while the configurations were discretized using independent unstructured meshes.Each headerless, comma-separated txt file represents one geometry–condition case. Its filename records the configuration or shape identifier, Mach number, and angle of attack. Each row corresponds to one triangular surface element. The ten columns contain the outward unit normal (nx,ny,nz), surface-centroid coordinates (x,y,z), pressure coefficient Cp, local Mach number, density, and triangle area. The dataset is intended for in-domain testing, out-of-distribution configuration generalization, zero-shot prediction, transfer learning, and pressure-integrated aerodynamic-load evaluation. Its scope is limited to pressure-dominated inviscid flows; wall-shear and heat-flux quantities are not included. Hypersonic aerodynamics; Surface pressure; Point clouds zhang hao RESTRICTED dataset Science Data Bank