public static void Solve()
{
const int iterations = 1000;
const double youngModulus = 2.1e8;
var domainMapper = new CantileverStochasticDomainMapper(new[] { 0d, 0d, 0d });
var evaluator = new StructuralStochasticEvaluator(youngModulus, domainMapper);
var m = new MonteCarlo(iterations, evaluator, evaluator);
m.Evaluate();
double[] expectedMeanValueResponse = new double[]
{
1.5999674517697445E-08, -2.399309224401548E-08
};
for (int i = 0; i < expectedMeanValueResponse.Length; i++)
{
Assert.Equal(expectedMeanValueResponse[i], m.MeanValueResponse[i], 10);
}
double[] expectedStandardDeviationResponse = new double[]
{
4.3180461976960273E-12, 2.6374139668652252E-12
};
for (int i = 0; i < expectedStandardDeviationResponse.Length; i++)
{
Assert.Equal(expectedStandardDeviationResponse[i], m.StandardDeviationResponse[i], 10);
}
}
private static void SolveCantileverWithStochasticMaterial()
{
const int iterations = 1000;
const double youngModulus = 2.1e8;
var domainMapper = new CantileverStochasticDomainMapper(new[] { 0d, 0d, 0d });
var evaluator = new StructuralStochasticEvaluator(youngModulus, domainMapper);
var m = new MonteCarlo(iterations, evaluator, evaluator);
m.Evaluate();
}
public void Solve()
{
const int iterations = 1000;
const double youngModulus = 2.1e8;
var domainMapper = new CantileverStochasticDomainMapper(new[] { 0d, 0d, 0d });
var realizer = new GiannisStructuralStochasticRealizer(youngModulus, domainMapper);
var evaluator = new StructuralStochasticEvaluator(youngModulus, domainMapper);
var m = new MonteCarlo(iterations, realizer, evaluator);
m.Evaluate();
}
public void Solve()
{
const int iterations = 1000;
const double youngModulus = 2.1e8;
var domainMapper = new CantileverStochasticDomainMapper(new [] { 0d, 0d, 0d });
var realizer = new StructuralStochasticRealizer(youngModulus, domainMapper);
var evaluator = new StructuralStochasticEvaluator(youngModulus, domainMapper);
var m = new MonteCarlo(iterations, realizer, evaluator);
m.Evaluate();
Assert.Equal(1.5999674517697445E-08, MonteCarloMeanValue[0], 10);
Assert.Equal(-2.399309224401548E-08, MonteCarloMeanValue[1], 10);
Assert.Equal(4.3180461976960273E-12, MonteCarloStandardDeviation[0], 10);
Assert.Equal(2.6374139668652252E-12, MonteCarloStandardDeviation[1], 10);
}
