double
NewDiscretizedRandomProcessSeries::getFactorSensitivity(double time)
{
// The parameterID has been set to the number of
// the random variable in question
// So, do the same thing as above, just set x(i-1) equal to 1.0
// for i==parameterID
if (time == 0.0 || parameterID<0) {
return 0.0;
}
else if (randomVariables == 0 || kickInTimes == 0) {
opserr << "ERROR in DiscretizedRandomProcessSeries::getFactorSensitivity(): " << endln
<< " random variables or kick-in times vector(s) do not exist. " << endln;
return 0.0;
}
else if (kickInTimes->Size() != randomVariables->Size() ) {
opserr << "ERROR in DiscretizedRandomProcessSeries::getFactorSensitivity(): " << endln
<< " number of random variables is not the same as kick-in times. " << endln;
return 0.0;
}
else {
double sum1;
double sum2;
// int nrv = 0;
double modFuncAmplitude;
Filter *theFilter;
// Loop over all modulating functions
double dtime;
sum1 = 0.0;
for (int k=0; k<numModFuncs; k++) {
// Get value of modulating function number k at time t
modFuncAmplitude = theModulatingFunctions[k]->getAmplitude(time);
theFilter = theModulatingFunctions[k]->getFilter();
// Number of discretizing random variables
//nrv = randomVariables->Size();
// Loop over all rv's (even though some may be zero at this time)
dtime=time-(*kickInTimes)(parameterID);
// if(fabs(dtime)<=1.0e-7) dtime=0.0;
sum2 = theFilter->getAmplitude(dtime, 0.0);
sum1 += sum2*modFuncAmplitude;
}
// double result=0.0;
// if(fabs(time-(*kickInTimes)(parameterID-1))<= 1.0e-8) result=1.0;
double result = mean + c*sum1;
return result;
}
}
double
NewDiscretizedRandomProcessSeries::getFactor(double time)
{
if (time == 0.0) {
return 0.0;
}
else if (randomVariables == 0 || kickInTimes == 0) {
opserr << "ERROR in DiscretizedRandomProcessSeries::getFactor(): " << endln
<< " random variables or kick-in times vector(s) do not exist. " << endln;
return 0.0;
}
else if (kickInTimes->Size() != randomVariables->Size() ) {
opserr << "ERROR in DiscretizedRandomProcessSeries::getFactor(): " << endln
<< " number of random variables is not the same as kick-in times. " << endln;
return 0.0;
}
else {
double sum1;
double sum2;
// int nrv = 0;
double modFuncAmplitude, filterAmplitude;
Filter *theFilter;
// nrv = randomVariables->Size();
for (int i=0; i<numRandVar; i++) {
active[i]=false;
if(time>(*kickInTimes)(i)-1.0e-7){
active[i]=true;
}
}
// Loop over all modulating functions
sum1 = 0.0;
double dtime;
for (int k=0; k<numModFuncs; k++) {
// Get value of modulating function number k at time t
modFuncAmplitude = theModulatingFunctions[k]->getAmplitude(time);
theFilter = theModulatingFunctions[k]->getFilter();
// Number of discretizing random variables
// nrv = randomVariables->Size();
// Loop over all active rv's
sum2 = 0.0;
for (int i=0; i<numRandVar; i++) {
// Get value of filter for argument (t-ti)
dtime=time-(*kickInTimes)(i);
theFilter->setKickTime((*kickInTimes)(i));
filterAmplitude = theFilter->getAmplitude(dtime, 0.0);
// Add contribution 'ui * hi'
sum2 += (*randomVariables)(i) * filterAmplitude;
// Break when we get to inactive rv's
if (dtime <= -1.0e-7) {
break;
}
}
sum1 += sum2*modFuncAmplitude;
}
double result = mean + c*sum1;
output << "time... ," << time << ","<< "value.. ," << sum1 << "\n";
output.flush();
return result;
}
}