Luminary's SHIFT-NVH predicts road-induced body vibration from part gauges, material and speed

Luminary Cloud presents SHIFT-NVH, a large physics model trained on finite-element solves of the 2010 Toyota Yaris body-in-white from the public NCAC crash model. It takes the gauges of 15 parts, the material and the vehicle speed and returns RMS acceleration in x, y and z at all 130,713 surface nodes under ISO 8608 class B road excitation. Trained on 840 of 1,212 cases (100 Latin-hypercube designs plus baseline, in steel, aluminium and magnesium, at four speeds), it reaches a median relative L2 field error of 1.1% (worst 2.6%) on 192 held-out cases. The mesh is fixed, so the model learns how thickness and material redistribute the response, not geometry changes.

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