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Positioning human body models for crashworthiness using model order reduction

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  • G. Bacquaert
  • C. Bach
  • D. Draper
  • S. Peldschus
  • F. Duddeck

Abstract

A new technique to accelerate the positioning of human body models (HBMs) by means of a dimensionality reduction of a database of precomputed simulations is presented. First, a set of important subspace deformation modes which are used to approximate the model’s movements observed in the training simulations are computed. In the second step, a convex optimization problem is solved in order to obtain an optimal position of the human body model as described by the user. We apply the proposed method to a new reclined seating position of the Total Human Model for Safety (THUMS, v5).

Suggested Citation

  • G. Bacquaert & C. Bach & D. Draper & S. Peldschus & F. Duddeck, 2020. "Positioning human body models for crashworthiness using model order reduction," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 23(11), pages 734-743, August.
    • Handle: RePEc:taf:gcmbxx:v:23:y:2020:i:11:p:734-743
    DOI: 10.1080/10255842.2020.1763321
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