The aim of WP2 is to develop relevant child segments and whole body human models for improved biomechanical understanding of children. The following segments are planned:
| Age/segment | Head | Neck | Thorax | Abdomen | Lower L + pelvis | whole body model |
|---|---|---|---|---|---|---|
|
6 W
|
x
|
x
|
- | - | - |
x
|
|
6 M
|
x
|
x
|
- | - | - |
x
|
|
1 Y
|
x
|
x
|
x
|
x
|
x
|
- |
|
1.5 Y
|
x
|
x
|
- | - | - | - |
|
3 Y
|
x
|
x
|
x
|
x
|
- | - |
|
6 Y
|
x
|
x
|
x
|
x
|
x
|
- |
These segment models can be combined to whole bodies or coupled to FE dummy models. They are a suitable base for further developments with respect to additional body regions and more detailed models.
The work package is organised in five tasks.
Within task 2.1 the specification for the models with respect to injury predicting capabilities were defined based on accidentology data and injury pattern described in the literature. The results are summarised in a report which will be published soon. This report was prepared in conjunction with task 1.1. Geometrical and mechanical properties are gathered and defined in task 2.2.
Task 2.2 aims at the collection of child geometrical and mechanical properties. It is planned to gather external (e.g., stature, length and circumferences of body segments etc.) and internal (bone dimensions, organ geometry etc.) geometry of children from literature and medical scans. The mechanical properties will be collected from literature only. In addition scaling techniques will be analysed and the possibilities and limitations of scaling are summarised.
The development of the human models takes place in task 2.3.
Reconstruction of accidents involving children takes place in task 2.4. The aim of these tests and simulation is to correlate the injury severity from the accident with the dummy loadings from the tests. This work package concentrated on reconstructions with human models or human segment models.
The aim of task 2.5 is to analyse the reconstruction data in order to develop injury criteria and load limits using human models.

