Positioning human body models for crashworthiness using model order reduction

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 traini...

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Bibliographic Details
Published in:Computer methods in biomechanics and biomedical engineering 2020-08, Vol.23 (11), p.734-743
Main Authors: Bacquaert, G., Bach, C., Draper, D., Peldschus, S., Duddeck, F.
Format: Article
Language:English
Subjects:
automotive
Computational geometry
Computer simulation
Convexity
crash simulation
Crashworthiness
dimensionality reduction
Human body
Human body models
Impact strength
Model reduction
Optimization
seating positions
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Summary: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).
ISSN:1025-5842
1476-8259
DOI:10.1080/10255842.2020.1763321