tacslip op• Data kinds: table × table → table
• Call: import fullseye as fs; fs.ledger.fem_vs_halfspace(fz: 'dict', fxz: 'dict') -> 'dict' (to call the implementation directly, import tacslip; tacslip.fem_vs_halfspace(fz: 'dict', fxz: 'dict') -> 'dict'; from the registry, opsdrive.get("fem_vs_halfspace"))
Compares the normal indentation fz and the oblique indentation fxz on the same node set (fem_nodes_load) with the half-space solution in shape only (the load magnitude is unknown). (1) Normalizes r·dz to 1 over 0.5–0.8 mm (mids, rdz_n): for the Boussinesq half-space it is constant for r ≫ contact, while a finite thickness makes it drop. Radius r_half at which it deviates from 1/r by a factor of 2 (None if there is none). (2) Fits dx(θ) of the oblique indentation to A + B cos²θ on rings r = 1/1.5/2/3 mm (ang: for Cerruti B/A = ν/(1−ν) → nu, ratio = (A+B)/A, R2), and dy to A + B sin2θ (dy_fit). Also returns R_dome (radius of a spherical cap fitted to the surface r–z), dy_over_dz0 (tangential component present even under the normal load alone = amount of asymmetry), rdx_n, dz0, dx_min_spacing, r and th (relative to the center). Raises ValueError: the 2 tables have different node counts, fewer than 10 nodes.
• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).
• Operator provenance and references — the sources of the research/methods this op family came from.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• poc_tacsim_marker_shear — py -3.11 examples/poc_tacsim_marker_shear.py
table as input)course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same
tacslip)mindlin_partial_slip · mindlin_traction · hertz_surface_ur · hertzian_tangential_inner · cerruti_kernel · cerruti_surface_displacement · membrane_shear_field · membrane_markers
*Provenance: tacslip.py — DRIVE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.