RosinRammler.C
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25 
26 #include "RosinRammler.H"
28 
29 // * * * * * * * * * * * * * * Static Data Members * * * * * * * * * * * * * //
30 
31 namespace Foam
32 {
33 namespace distributionModels
34 {
35  defineTypeNameAndDebug(RosinRammler, 0);
36  addToRunTimeSelectionTable(distributionModel, RosinRammler, dictionary);
37 }
38 }
39 
40 // * * * * * * * * * * * * * * * * Constructors * * * * * * * * * * * * * * //
41 
43 (
44  const dictionary& dict,
45  Random& rndGen
46 )
47 :
48  distributionModel(typeName, dict, rndGen),
49  minValue_(readScalar(distributionModelDict_.lookup("minValue"))),
50  maxValue_(readScalar(distributionModelDict_.lookup("maxValue"))),
51  d_(readScalar(distributionModelDict_.lookup("d"))),
52  n_(readScalar(distributionModelDict_.lookup("n")))
53 {
54  check();
55 }
56 
57 
59 :
61  minValue_(p.minValue_),
62  maxValue_(p.maxValue_),
63  d_(p.d_),
64  n_(p.n_)
65 {}
66 
67 
68 // * * * * * * * * * * * * * * * * Destructor * * * * * * * * * * * * * * * //
69 
71 {}
72 
73 
74 // * * * * * * * * * * * * * * * Member Functions * * * * * * * * * * * * * //
75 
77 {
78  scalar K = 1.0 - exp(-pow((maxValue_ - minValue_)/d_, n_));
79  scalar y = rndGen_.sample01<scalar>();
80  scalar x = minValue_ + d_*::pow(-log(1.0 - y*K), 1.0/n_);
81  return x;
82 }
83 
84 
86 {
87  return minValue_;
88 }
89 
90 
92 {
93  return maxValue_;
94 }
95 
96 
98 {
99  return d_;
100 }
101 
102 
103 // ************************************************************************* //
dimensionedScalar log(const dimensionedScalar &ds)
Random & rndGen_
Reference to the random number generator.
A list of keyword definitions, which are a keyword followed by any number of values (e...
Definition: dictionary.H:137
virtual scalar sample() const
Sample the distributionModel.
Definition: RosinRammler.C:76
CGAL::Exact_predicates_exact_constructions_kernel K
Macros for easy insertion into run-time selection tables.
scalar y
Type sample01()
Advance the state and return a sample of a given type from a.
Definition: RandomI.H:70
dimensionedScalar exp(const dimensionedScalar &ds)
RosinRammler(const dictionary &dict, Random &rndGen)
Construct from components.
Definition: RosinRammler.C:43
bool readScalar(const char *buf, doubleScalar &s)
Read whole of buf as a scalar. Return true if successful.
Definition: doubleScalar.H:68
Random number generator.
Definition: Random.H:57
defineTypeNameAndDebug(exponential, 0)
Rosin-Rammler distributionModel.
Definition: RosinRammler.H:57
dimensionedScalar pow(const dimensionedScalar &ds, const dimensionedScalar &expt)
virtual scalar minValue() const
Return the minimum value.
Definition: RosinRammler.C:85
virtual ~RosinRammler()
Destructor.
Definition: RosinRammler.C:70
virtual scalar meanValue() const
Return the mean value.
Definition: RosinRammler.C:97
A library of runtime-selectable distribution models.
virtual scalar maxValue() const
Return the maximum value.
Definition: RosinRammler.C:91
addToRunTimeSelectionTable(distributionModel, exponential, dictionary)
volScalarField & p
Namespace for OpenFOAM.