Static and dynamic analysis of lumbar stabilization in autonomous vehicles

Master Thesis (2022)
Author(s)

A. Marbus (TU Delft - Mechanical Engineering)

Contributor(s)

R Happee – Mentor (TU Delft - Intelligent Vehicles)

A. Seth – Mentor (TU Delft - Biomechatronics & Human-Machine Control)

Eline van der Kruk – Mentor (TU Delft - Biomechatronics & Human-Machine Control)

Faculty
Mechanical Engineering
Copyright
© 2022 Anna Marbus
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Anna Marbus
Graduation Date
15-07-2022
Awarding Institution
Delft University of Technology
Programme
['Mechanical Engineering | Vehicle Engineering']
Faculty
Mechanical Engineering
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Abstract

The objective of this study is to simulate lumbar stabilization in autonomous vehicles through the utility of OpenSim. Considering sufficient isometric strength is required for dynamic analysis, validity of the full-body model developed by Schmid et al. [43] in isometric conditions is examined first. This encompasses the establishment of maximal isometric force exterted by the trunk in sagittal and frontal plane. The model is solved using an inverse-dynamics based static optimization and the model-predicted strength was taken to be the highest external force for which the Static Optimization Tool successfully solved [46]. Finally, isometric model conditions are validated against literature. Predicted strength correlated within 1 standard deviation (SD) of the in vivo measurements and therefore, yielded realistic results in forward, rearward and lateral direction.

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