Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: New approaches in modeling belt-flesh-pelvis interaction using obese
  GHBMC models   Obesity is associated with higher fatality risk and altered distribution of
occupant injuries in automotive collisions partially because of the increased
depth of abdominal soft tissue, which results in limited or delayed engagement
of the lap belt with the pelvis and increases the risk of pelvis submarining
under the lap belt exposing occupant abdomen to belt loading. Previous modeling
studies have shown that pelvis submarining could not be replicated using
existing human body models. The goal of this study is to perform model
modifications and investigate whether they could lead to model submarining. By
detaching the connections between the pelvis and surrounding flesh, submarining
like belt kinematics were observed. By remeshing the flesh parts of the model,
similar belt kinematics was observed but the pelvic wings were fractured.
Finally, large shear deformation on the flesh together with submarining like
kinematics were observed in the model with its flesh modeled using the meshless
Smooth Particle Galerkin Method SPG method. The results of this study showed
that SPG method has potential to simulate large deformations in soft tissue
which may be necessary to improve the biofidelity of belt/pelvis interaction.

29
The categories of this paper are: funct-an
24
The categories of this paper are: dg-ga
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
17
The categories of this paper are: q-fin
9
The categories of this paper are: nlin
19
The categories of this paper are: eess
33
The categories of this paper are: plasm-ph
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
22
The categories of this paper are: chao-dyn
13
The categories of this paper are: quant-ph
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
26
The categories of this paper are: bayes-an