Master Thesis Proposal - Shoulder and Humerus Modelling for Injury Assessment

Are you a Master student with a passion for saving lives? Then this might be the role for you!
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Background

 

The injury risk in automotive impacts is today commonly evaluated by means of finite element human body models (FE-HBMs). The models are used both for research and development of protective system such as seat belts and airbags. With these HBMs injury risk can be assessed at a level of detail not possible with other existing tools, e.g. crash test dummies. An example of a HBM is the SAFER HBM V10. In this model significant efforts have been put into the capability to predict rib fracture and concussion risk. For pedestrians and bicycle riders the shoulder and humerus are frequently injured body parts in addition to the head and chest. Therefore, there is a need to improve the modelling of the shoulder and humerus of the human body model to enable detailed and biofidelic injury prediction

The shoulder is the anatomical mechanism that allows for all upper arm and shoulder movement in humans. The shoulder girdle consists of five joints and five muscles that attach to the clavicle. The shoulder is a common place for tissue injuries as well as fractures.

Therefore, there is a need to develop a detailed humerus and shoulder model for both load transfer and injury assessment for vehicle occupant as well as for pedestrian and bicycle rider analysis

Objective and Aim 

The aim of this project is to develop and validate a finite element model of the humerus and shoulder:

  • Review published data about finite element modelling of humerus and shoulder,
  • Review published data about impact testing of humerus and shoulder
  • Review suitable LS-DYNA material models for ligament and muscle modelling,
  • Reconstruct some physical humerus and shoulder tests in LS-DYNA 

Detailed Description 

The geometry for the humerus and shoulder to be used for the modelling will be defined. The sources can be internet, VIVA geometry of possible source CT-scans. The best geometry for the purpose of modelling the humerus and shoulder will be selected.

For the ligaments and soft tissue, if available, MRI scans will be used. If no other sources for soft tissue geometry is available anatomical text book descriptions will be used for the geometry and location of the soft tissue in the model. The level of detail will be discussed with the supervisors prior to meshing.

The skeleton geometry and soft tissue will be meshed. The mesh has to obey the numerical requirements defined in “safer_hbm_numerical_requirements_draft_200401.docx”.

Available material models suitable for representing the physical properties of soft tissue (ligaments) for the shoulder joints will be reviewed. The material model and modelling strategy that is considered to be most suitable will be selected.  A literature survey will be carried out to define the most suitable physical properties to be used in the model. Based on the finding the material properties (physical properties) for the meshed body parts will be assigned.

The impact predictions from the humerus and shoulder will be correlated and validated to results from published impact tests with PMHS. A literature survey will be carried out to define relevant impact tests for correlation and validation of the model. In a correlation the model will be tuned in order to reach agreement between the predictions from the model and results from PMHS impact tests. In a second step the humerus and shoulder model will be validated by means of comparing predictions from the model with results from a second set of PMHS impact tests.

Learning outcomes

Students will learn and develop skills in model development in ANSA and performing explicit FE simulations in the software LS-DYNA with focus biomechanical modelling. 

Application

If you find this opportunity interesting and in line with your profile. Do not wait with your application! We will start the recruitment process immediately and the position could be filled before the final application date, 2021-12-31. 

If you have any questions, you are welcome to contact the supervisor:

Bengt Pipkorn, bengt.pipkorn@autoliv.com

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