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Commit f1cdcabb authored by Patrick Jaap's avatar Patrick Jaap
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Fix in Mooney-Rivlin density: Use proper 4th term for Ciarlet

In Ciarlet the last factor is left unspecified. I could not follow the
choice used in this implementation. I guess it was intended to minimize
the energy under a hydrostatic stress F = t*I at the unit matrix, i.e.,
for t=1. A simple calculation shows that (independent on the dimension)

d = 2a + 4b + 2c

has to hold in this case. Values in the test were adjusted.
parent a97f2a69
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1 merge request!69Fix in Mooney-Rivlin density: Use proper 4th term for Ciarlet
......@@ -67,7 +67,8 @@ public:
There are three Mooney-Rivlin-Variants:
ciarlet: W(F) = mooneyrivlin_a*(normF)^2 + mooneyrivlin_b*(normFinv)^2*detF^2 + mooneyrivlin_c*(detF)^2 -
((dim-1)*mooneyrivlin_a + mooneyrivlin_b + 2*mooneyrivlin_c)*ln(detF)
(2*mooneyrivlin_a + 4*mooneyrivlin_b + 2*mooneyrivlin_c)*ln(detF),
where the last term is chosen s.t. W( t*I ) is minimal for t=1
log: W(F) = \sum_{i,j=0}^{i+j<=n} mooneyrivlin_ij * (I1 - 3)^i * (I2 - 3)^j + mooneyrivlin_k * ln(det(F))^2
square: W(F) = \sum_{i,j=0}^{i+j<=n} mooneyrivlin_ij * (I1 - 3)^i * (I2 - 3)^j + mooneyrivlin_k * 0.5 * (det(F) - 1)^2
......@@ -99,7 +100,8 @@ public:
gradientInverse.invert();
field_type frobeinusNormFInverseSquared = gradientInverse.frobenius_norm2();
using std::log;
return mooneyrivlin_a*frobeniusNormFsquared + mooneyrivlin_b*frobeinusNormFInverseSquared*detF*detF + mooneyrivlin_c*detF*detF - ((dim-1)*mooneyrivlin_a + mooneyrivlin_b + 2*mooneyrivlin_c)*log(detF);
return mooneyrivlin_a*frobeniusNormFsquared + mooneyrivlin_b*frobeinusNormFInverseSquared*detF*detF + mooneyrivlin_c*detF*detF
- (2.0*mooneyrivlin_a + 4.0*mooneyrivlin_b + 2.0*mooneyrivlin_c)*log(detF);
}
else
{
......
......@@ -167,10 +167,10 @@ int main (int argc, char *argv[])
parameters["mooneyrivlin_a"] = "2.42e+6";
parameters["mooneyrivlin_b"] = "6.52e+6";
parameters["mooneyrivlin_c"] = "-7.34e+6";
expectedEnergy = 68753239.6;
expectedGradientTwoNorm = 31244643.1;
expectedGradientInfinityNorm = 9673572.39;
expectedMatrixFrobeniusNorm = 1.67660965e+09;
expectedEnergy = 76302830.4;
expectedGradientTwoNorm = 40670527.3;
expectedGradientInfinityNorm = 11116511.8;
expectedMatrixFrobeniusNorm = 2.1978108e+09;
int testCiarlet = assembleAndCompare(basis, parameters, x, expectedEnergy, expectedGradientTwoNorm, expectedGradientInfinityNorm, expectedMatrixFrobeniusNorm);
return testCiarlet + testLog + testSquare;
......
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