Biomechanics and Neuronics KTH Royal Institute of Technology

Overview

What you will learn

The intended learning outcomes of KTH Royal Institute of Technology's Biomechanics and Neuronics course:

• To give knowledge of injury mechanics and injury criteria for biological tissues, in particular the central nervous system. 

• Further to give knowledge of how numerical modelling of soft and hard biological tissue can be used to calculate deformations, strains and stresses in the tissue in effort to predict injury/instability of the tissue.

• Describe the human anatomy and the function of the nervous system.

• Describe the basic constituents of human tissues and their mechanical properties.

• Explain the mechanical properties of human tissues based on their design, purpose, and structure of the basic constituents.

• Derive the simple viscoelastic material models and describe how the more complex viscoelastic relations can be modeled.

• Explain the fundamental theories and the equations of motion for static and dynamic FEA.

• Perform a dynamic FEA and evaluate the reliability of the results.

• Analyze an accident, predict the injury outcome and suggest preventive strategies.

• Describe the energy absorption of foam materials and discuss how this can be used to protect the human, for example in helmet design.