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Motivation
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Ergonomics and biomechanics are are subjects of major socio-economic importance. The
cost of musculo-skeletal injuries is rapidly increasing at the same time as the
fundamental understanding of the mechanical function of the body leaves many open
questions. Presently, the number of injuries caused by excessive use of computer mice is
exploding, and yet the actual causes of many of these injuries remain a
mystery, and it is
therefore difficult to issue guidelines that will reduce the problems.
Research in human locomotion is to a large extent of an observing and experimental
nature, but it is now widely accepted that a basic understanding cannot be obtained from
experiments alone.
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One of the best opportunities to further our basic understanding of the
body's mechanical function is to create and verify mechanical models and then perform
detailed studies of the behavior of these models. This requires mechanical,
mathematical,
and numerical expertise.
An attractive quality of such models is that they are equally well-suited to further
the fundamental understanding of the body's function and to solve practical ergonomic
problems. Typical examples of the latter are analysis and optimization of tools and
workplaces and the design of sports equipment and hand tools for maximum
efficiency.
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Carbon and Kevlar bicycle |
How did it all begin?
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Design of bicycles has been a passion at the Institute of Mechanical Engineering since
the early nineties. The interest is originated in the institute's combination of
activities in design optimization and
advanced materials. In 1991-1992, a group
of master's students, Anette Struve Nielsen, Torben Lindby, and Claus Jørgensen, designed
and built a bicycle in carbon fiber and kevlar that was well ahead of its time.
The special thing about this bike was that it was about ten times as stiff as a
conventional racing bike with the same weight. This was due to the combination of
materials and optimized shape.
We went on to do other projects on bicycle optimization. Lightness and stiffness are
conflicting criteria. The weight can be minimized with a specified stiffness or vice
versa, but one will always limit the other. We gradually realized that it was not possible
to determine the best combination of the two by looking at the bicycle
alone. We would
have to investigate the rider and bicycle as one system.
From an efficiency point-of-view, stiffness is important because the body spends
metabolic power on elastic deformations of the frame when the driving force pulsates from
one pedal to the other. Knowing very little about bio but quite a lot about
mechanics, we
started the development of mechanical models of muscles and joints. A group of students,
Peter From, Thue
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Møller Jensen, and John Flint, did the initial investigations but were
unable to fully solve the problems related to redundancy in the system.
Later, two Spanish
guest students from the excellent technical university of Bilbao, Miguel Escartin and
Leire Ibanez, used a quadratic optimality criterion to identify muscle forces in the arm
while sawing. They were not toally successful in getting reasonable results
either.
The mechanical problems of muscle recruitment were starting to catch the interest of a
number of people in the department. Multiple informal discussions between Michael Hansen, Michael Damsgaard, and John Rasmussen lead to the
conclusion that muscle recruitment could well be controlled by a min/max
criterion.
Michael Damsgaard and John Rasmussen developed a test algorithm for bicycling and found
that not only did it produce very reasonable results, it was also extremely numerically
efficient--so much that modeling, simulation and optimization of larger and more complex
body assemblies would definitely be possible. A couple of conference
papers were presented and received so well that we decided to go on with the work and
apply for external funding. In the meantime, Michael Voigt had joined
the group, providing some badly needed physiological expertise and access to the excellent
lab facilities if the Center for Sensory-Motor Interaction.
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