Positioning human body models for crashworthiness using model order reduction

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

doi:10.1080/10255842.2020.1763321

Positioning human body models for crashworthiness using model order reduction

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

Associate Professorship of Computational Mechanics

BMW AG
Imagine,Université Paris Est/École des Ponts ParisTech
Technical University of Munich
Ludwig-Maximilians-Universität München
Queen Mary University of London

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

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).

Original language	English
Pages (from-to)	734-743
Number of pages	10
Journal	Computer Methods in Biomechanics and Biomedical Engineering
Volume	23
Issue number	11
DOIs	https://doi.org/10.1080/10255842.2020.1763321
State	Published - 17 Aug 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Human body models
automotive
crash simulation
dimensionality reduction
seating positions

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10.1080/10255842.2020.1763321

Cite this

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title = "Positioning human body models for crashworthiness using model order reduction",

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{\textquoteright}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).",

keywords = "Human body models, automotive, crash simulation, dimensionality reduction, seating positions",

author = "G. Bacquaert and C. Bach and D. Draper and S. Peldschus and F. Duddeck",

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year = "2020",

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T1 - Positioning human body models for crashworthiness using model order reduction

AU - Bacquaert, G.

AU - Bach, C.

AU - Draper, D.

AU - Peldschus, S.

AU - Duddeck, F.

PY - 2020/8/17

Y1 - 2020/8/17

N2 - 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).

AB - 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).

KW - Human body models

KW - automotive

KW - crash simulation

KW - dimensionality reduction

KW - seating positions

UR - https://www.scopus.com/pages/publications/85084842618

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DO - 10.1080/10255842.2020.1763321

M3 - Article

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JO - Computer Methods in Biomechanics and Biomedical Engineering

JF - Computer Methods in Biomechanics and Biomedical Engineering

IS - 11

ER -

Positioning human body models for crashworthiness using model order reduction

Abstract

UN SDGs

Keywords

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