The purpose of this project is to explore the probabilities for computational musculoskeletal biomechanics in cross-country skiing. Usually, investigation on cross-country skiing biomechanics relies primarily on experimental testing alone. Trying an alternative strategy, this thesis examines the options of using computational musculoskeletal biomechanics for cross-country skiing. As far as the author understands, this has not been done before. Cross-country skiing is both quick and strong, and the whole body is utilized to build movement. Therefore, the computational method used needs to be able to manage a full-body model with many different muscles. This thesis offers several simulation models created in the AnyBody Modeling System, which is dependant on inverse dynamics and static optimization. This process enables measurement driven full-body models with hundreds of muscles and rigid body segments of most important body parts. An important result shown in the dissertation is that with a good simulation model it’s possible to anticipate muscle activation. Although there isn’t any claim of full validity of the simulation models, this result uncovers a variety of possibilities for computational musculoskeletal biomechanics in cross-country skiing. A pair of illustration of new possibilities are revealed in the thesis, discovering antagonistic muscle pairs and muscle load distribution differences in different skiing styles. To be able to perform optimization studies and asking and answering “what if”-questions really offers computational methods an advantage compared to traditional testing…
Part 1 – Introduction
Background and aim of thesis
Solution strategy and problem definition
Summary of papers
Conclusions
References
Part 2 – Included papers
Source: Linköping University
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