3+4+Supplementum/2012 - Společnost pro pojivové tkáně

The change from vertebra to inter-vertebrae
disc makes block:
block3:schedule(time,block2,continuous,…);
//scheduling of right side calculation
cancelint(„integral2“);
//vertebra integration finishing
integr(2,w[1],w[0],”integral1”);
// integration of inter-vertebrae disc
schedule(time+d,block4,discrete);
//jump on vertebra in time equal disc thin d
The block for jump from inter-vertebrae
disc to vertebra:
block4:cancelint(„integral1“);
//end of disc integration
integr(1,w[1],w[0],”integral2”);
//vertebra integration
cancelblock(block2);
//end of right site calculation (3)
schedule(time+tvertebra,block3,diskrete);
//jump to disc program after time equal
vertebra high
The main program read parameters,
sets initial conditions. The calculation is
started by calling of block4 for vertebra
solving (the block4 cancels not yet existing
integration “integral1” and not existing
block2 but it is not error). The statement
wait jumps on simulation system and starts
the simulation calculation:
schedule(0.0, block4, diskrete) ;
schedule(0.0, block1, continuous) ;
integr(2, M[1], M[0],” moment”);
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wait(finish time,…);
The calculation according to presented
program is for zero initial condition. But
the initial condition w´(0) is not zero and
at the spine end must be w = 0. The calculation
for w´(0)=0 gives a not zero finish
value w end = w[0]. The calculation will be
repeated with new initial conditions:
w[0] = 0, w[1]= –w end/l, M[0] = 0, M[1] = 0,
where l is spine length.
COnCluSiOn
The simulation is mainly recognition
method. The parameters for algorithms
presented above can be determined just
roughly. If the simulation program is completed
then the real experiments are modeled
on computer and the computer and real
signal course are compared. The parameters
and eventual model structure are changed
to be mutually in concordance (model
verification). The known parameters value
can be used at next science research. The
check model can be used for prognosis of
the other experiment course.
Presented models are simple. If the
comparison the model with reality shows
that the more detail model is necessary
to be the other influences respected. For
example by grippe infection model can be
respected incubation period, illness period,
community structure (city or country
community, age structure, degree of mutual
people contact etc.). The spine bending
model can respected free beds for acute
cases, aspect of chose a patient from queue
according to illness parameters etc. The
spine bending model can be respected soft
LOCOMOTOR SYSTEM vol. 19, 2012, No. 3+4