Specifications

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So the very systematic activation pattern becomes much more complex when viewed as muscle forces. Let
us for a moment return to the activities again. They appear to range between approximately 0.30 and 1.20.
These are direct measures of the load of the muscles. A load of 1.0 corresponds to the muscle working at its
ultimate strength. In this case it appears that the muscles are about 20% overloaded when the dumbbell
approaches the end of its movement. One of the advantages of the min/max criterion we are using here is
that it guarantees that there is no other muscle recruitment that would lead to a smaller maximum activity.
In other words, this criterion exploits the organism to its maximum potential and causes the muscles to
collaborate maximally. This is a reasonable strategy for an organism trying to survive in a competitive
environment.
But let us take a look at the consequence of increasing the value of e1. The name of e1 in AnyScript is
RecruitmentLpPenalty. It is a member of the AnyBodyStudy class, so we can assign a value to it. Add the
red line to the AnyScript model, load it, and run the InverseDynamicAnalysis again:
// The study: Operations to be performed on the model
AnyBodyStudy ArmModelStudy = {
AnyFolder &Model = .ArmModel;
RecruitmentSolver = MinMaxSimplex;
RecruitmentLpPenalty = 1.0e+3;
Gravity = {0.0, -9.81, 0.0};
};
We have assigned the rather large value of 1.0e+3 to RecruitmentLpPenalty. Plotting the activities again
produces the following results: