introvoyz042's picture
Migrated from GitHub
5a600cf verified
Raw History Blame Contribute Delete
12.8 kB
/*---------------------------------------------------------------------------*\
========= |
\\ / F ield | OpenFOAM: The Open Source CFD Toolbox
\\ / O peration | Website: https://openfoam.org
\\ / A nd | Copyright (C) 2011-2026 OpenFOAM Foundation
\\/ M anipulation |
-------------------------------------------------------------------------------
License
This file is part of OpenFOAM.
OpenFOAM is free software: you can redistribute it and/or modify it
under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
OpenFOAM is distributed in the hope that it will be useful, but WITHOUT
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
for more details.
You should have received a copy of the GNU General Public License
along with OpenFOAM. If not, see <http://www.gnu.org/licenses/>.
InNamespace
Foam
Description
3D tensor transformation operations.
\*---------------------------------------------------------------------------*/
#ifndef transform_H
#define transform_H
#include "tensor.H"
#include "mathematicalConstants.H"
#include "dimensionSet.H"
#include "expressionName.H"
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
namespace Foam
{
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
inline bool transform(const tensor&, const bool i)
{
return i;
}
inline label transform(const tensor&, const label i)
{
return i;
}
inline scalar transform(const tensor&, const scalar s)
{
return s;
}
template<class Cmpt>
inline Vector<Cmpt> transform(const tensor& tt, const Vector<Cmpt>& v)
{
return tt & v;
}
template<class Cmpt>
inline Tensor<Cmpt> transform(const tensor& tt, const Tensor<Cmpt>& t)
{
return Tensor<Cmpt>
(
(tt.xx()*t.xx() + tt.xy()*t.yx() + tt.xz()*t.zx())*tt.xx()
+ (tt.xx()*t.xy() + tt.xy()*t.yy() + tt.xz()*t.zy())*tt.xy()
+ (tt.xx()*t.xz() + tt.xy()*t.yz() + tt.xz()*t.zz())*tt.xz(),
(tt.xx()*t.xx() + tt.xy()*t.yx() + tt.xz()*t.zx())*tt.yx()
+ (tt.xx()*t.xy() + tt.xy()*t.yy() + tt.xz()*t.zy())*tt.yy()
+ (tt.xx()*t.xz() + tt.xy()*t.yz() + tt.xz()*t.zz())*tt.yz(),
(tt.xx()*t.xx() + tt.xy()*t.yx() + tt.xz()*t.zx())*tt.zx()
+ (tt.xx()*t.xy() + tt.xy()*t.yy() + tt.xz()*t.zy())*tt.zy()
+ (tt.xx()*t.xz() + tt.xy()*t.yz() + tt.xz()*t.zz())*tt.zz(),
(tt.yx()*t.xx() + tt.yy()*t.yx() + tt.yz()*t.zx())*tt.xx()
+ (tt.yx()*t.xy() + tt.yy()*t.yy() + tt.yz()*t.zy())*tt.xy()
+ (tt.yx()*t.xz() + tt.yy()*t.yz() + tt.yz()*t.zz())*tt.xz(),
(tt.yx()*t.xx() + tt.yy()*t.yx() + tt.yz()*t.zx())*tt.yx()
+ (tt.yx()*t.xy() + tt.yy()*t.yy() + tt.yz()*t.zy())*tt.yy()
+ (tt.yx()*t.xz() + tt.yy()*t.yz() + tt.yz()*t.zz())*tt.yz(),
(tt.yx()*t.xx() + tt.yy()*t.yx() + tt.yz()*t.zx())*tt.zx()
+ (tt.yx()*t.xy() + tt.yy()*t.yy() + tt.yz()*t.zy())*tt.zy()
+ (tt.yx()*t.xz() + tt.yy()*t.yz() + tt.yz()*t.zz())*tt.zz(),
(tt.zx()*t.xx() + tt.zy()*t.yx() + tt.zz()*t.zx())*tt.xx()
+ (tt.zx()*t.xy() + tt.zy()*t.yy() + tt.zz()*t.zy())*tt.xy()
+ (tt.zx()*t.xz() + tt.zy()*t.yz() + tt.zz()*t.zz())*tt.xz(),
(tt.zx()*t.xx() + tt.zy()*t.yx() + tt.zz()*t.zx())*tt.yx()
+ (tt.zx()*t.xy() + tt.zy()*t.yy() + tt.zz()*t.zy())*tt.yy()
+ (tt.zx()*t.xz() + tt.zy()*t.yz() + tt.zz()*t.zz())*tt.yz(),
(tt.zx()*t.xx() + tt.zy()*t.yx() + tt.zz()*t.zx())*tt.zx()
+ (tt.zx()*t.xy() + tt.zy()*t.yy() + tt.zz()*t.zy())*tt.zy()
+ (tt.zx()*t.xz() + tt.zy()*t.yz() + tt.zz()*t.zz())*tt.zz()
);
}
template<class Cmpt>
inline SphericalTensor<Cmpt> transform
(
const tensor& tt,
const SphericalTensor<Cmpt>& st
)
{
return st;
}
template<class Cmpt>
inline SymmTensor<Cmpt> transform(const tensor& tt, const SymmTensor<Cmpt>& st)
{
return SymmTensor<Cmpt>
(
(tt.xx()*st.xx() + tt.xy()*st.xy() + tt.xz()*st.xz())*tt.xx()
+ (tt.xx()*st.xy() + tt.xy()*st.yy() + tt.xz()*st.yz())*tt.xy()
+ (tt.xx()*st.xz() + tt.xy()*st.yz() + tt.xz()*st.zz())*tt.xz(),
(tt.xx()*st.xx() + tt.xy()*st.xy() + tt.xz()*st.xz())*tt.yx()
+ (tt.xx()*st.xy() + tt.xy()*st.yy() + tt.xz()*st.yz())*tt.yy()
+ (tt.xx()*st.xz() + tt.xy()*st.yz() + tt.xz()*st.zz())*tt.yz(),
(tt.xx()*st.xx() + tt.xy()*st.xy() + tt.xz()*st.xz())*tt.zx()
+ (tt.xx()*st.xy() + tt.xy()*st.yy() + tt.xz()*st.yz())*tt.zy()
+ (tt.xx()*st.xz() + tt.xy()*st.yz() + tt.xz()*st.zz())*tt.zz(),
(tt.yx()*st.xx() + tt.yy()*st.xy() + tt.yz()*st.xz())*tt.yx()
+ (tt.yx()*st.xy() + tt.yy()*st.yy() + tt.yz()*st.yz())*tt.yy()
+ (tt.yx()*st.xz() + tt.yy()*st.yz() + tt.yz()*st.zz())*tt.yz(),
(tt.yx()*st.xx() + tt.yy()*st.xy() + tt.yz()*st.xz())*tt.zx()
+ (tt.yx()*st.xy() + tt.yy()*st.yy() + tt.yz()*st.yz())*tt.zy()
+ (tt.yx()*st.xz() + tt.yy()*st.yz() + tt.yz()*st.zz())*tt.zz(),
(tt.zx()*st.xx() + tt.zy()*st.xy() + tt.zz()*st.xz())*tt.zx()
+ (tt.zx()*st.xy() + tt.zy()*st.yy() + tt.zz()*st.yz())*tt.zy()
+ (tt.zx()*st.xz() + tt.zy()*st.yz() + tt.zz()*st.zz())*tt.zz()
);
}
//- Transformations do not change the dimensions
inline dimensionSet transform(const dimensionSet& ds)
{
return ds;
}
//- Check the transformation tensor is dimensionless
// and return the dimensions of the argument
inline dimensionSet transform
(
const dimensionSet& t,
const dimensionSet& ds
)
{
if (dimensionSet::debug && !t.dimensionless())
{
FatalErrorInFunction
<< "Transformation tensor is not dimensionless" << endl
<< " dimensions : " << t.info()
<< endl << abort(FatalError);
}
return ds;
}
/*---------------------------------------------------------------------------*\
Class transformOp Declaration
\*---------------------------------------------------------------------------*/
struct transformOp
{
static inline const char* prefix = "transform(";
static inline const char infix = ',';
static inline const char postfix = ')';
static const signed char precedence =
expression::Operation<void>::precedence;
static const bool associative = false;
static word name(const word& t, const word& v)
{
return word("transform(", t, ',', v, ')');
}
template<class A, class B>
static auto value(const A& a, const B& b)
{
return transform(a, b);
}
};
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
// Transformation mask functions
template<class MaskType, class Type>
inline MaskType transformMask(const Type& t)
{
return t;
}
template<>
inline sphericalTensor transformMask<sphericalTensor>(const tensor& t)
{
return sph(t);
}
template<>
inline sphericalTensor transformMask<sphericalTensor>(const symmTensor& t)
{
return sph(t);
}
template<>
inline symmTensor transformMask<symmTensor>(const tensor& t)
{
return symm(t);
}
/*---------------------------------------------------------------------------*\
Class transformMaskOp Declaration
\*---------------------------------------------------------------------------*/
struct transformMaskOp
{
static inline const char* prefix = "transformMask(";
static inline const char infix = ',';
static inline const char postfix = ')';
static const signed char precedence =
expression::Operation<void>::precedence;
static const bool associative = false;
static word name(const word& mt, const word& t)
{
return word("transformMask(", mt, ',', t, ')');
}
static sphericalTensor value(const sphericalTensor& mt, const tensor& t)
{
return sph(t);
}
static sphericalTensor value(const sphericalTensor& mt, const symmTensor& t)
{
return sph(t);
}
static symmTensor value(const symmTensor& mt, const tensor& t)
{
return symm(t);
}
template<class MaskType, class Type>
static Type value(const MaskType& mt, const Type& t)
{
return t;
}
};
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
//- Rotational transformation tensor from unit vector n1 to n2
inline tensor rotationTensor
(
const vector& n1,
const vector& n2
)
{
const scalar c = n1 & n2;
const vector n3 = n1 ^ n2;
const scalar magSqrN3 = magSqr(n3);
// n1 and n2 define a plane n3
if (magSqrN3 > small)
{
// Return rotational transformation tensor in the n3-plane using
// Rodrigues' rotation formula
return
c*I
+ (n2*n1 - n1*n2)
+ (1 - c)*sqr(n3)/magSqrN3;
}
// n1 and n2 are contradirectional
else if (c < 0)
{
// Return rotational transformation tensor in a plane with arbitrary
// normal perpendicular to n1 and n2 using a subset of Rodrigues'
// rotation formula
const vector n4 = perpendicular(n1);
const scalar magSqrN4 = magSqr(n4);
return - I + 2*sqr(n4)/magSqrN4;
}
// n1 and n2 are codirectional
else
{
// Return null transformation tensor
return I;
}
}
//- Rotational transformation tensor about the x-axis by omega radians
// The rotation is defined in a right-handed coordinate system
// i.e. clockwise with respect to the axis from -ve to +ve
// (looking along the axis).
inline tensor Rx(const scalar& omega)
{
const scalar s = sin(omega);
const scalar c = cos(omega);
return tensor
(
1, 0, 0,
0, c, -s,
0, s, c
);
}
//- Rotational transformation tensor about the y-axis by omega radians
// The rotation is defined in a right-handed coordinate system
// i.e. clockwise with respect to the axis from -ve to +ve
// (looking along the axis).
inline tensor Ry(const scalar& omega)
{
const scalar s = sin(omega);
const scalar c = cos(omega);
return tensor
(
c, 0, s,
0, 1, 0,
-s, 0, c
);
}
//- Rotational transformation tensor about the z-axis by omega radians
// The rotation is defined in a right-handed coordinate system
// i.e. clockwise with respect to the axis from -ve to +ve
// (looking along the axis).
inline tensor Rz(const scalar& omega)
{
const scalar s = sin(omega);
const scalar c = cos(omega);
return tensor
(
c, -s, 0,
s, c, 0,
0, 0, 1
);
}
//- Rotational transformation tensor about axis a by omega radians
// The rotation is defined in a right-handed coordinate system
// i.e. clockwise with respect to the axis from -ve to +ve
// (looking along the axis).
inline tensor Ra(const vector& a, const scalar omega)
{
const scalar s = sin(omega);
const scalar c = cos(omega);
return tensor
(
sqr(a.x())*(1 - c) + c,
a.y()*a.x()*(1 - c) - a.z()*s,
a.x()*a.z()*(1 - c) + a.y()*s,
a.x()*a.y()*(1 - c) + a.z()*s,
sqr(a.y())*(1 - c) + c,
a.y()*a.z()*(1 - c) - a.x()*s,
a.x()*a.z()*(1 - c) - a.y()*s,
a.y()*a.z()*(1 - c) + a.x()*s,
sqr(a.z())*(1 - c) + c
);
}
//- Estimate angle of vec in coordinate system (e0, e1, e0^e1).
// Is guaranteed to return increasing number but is not correct
// angle. Used for sorting angles. All input vectors need to be normalised.
//
// Calculates scalar which increases with angle going from e0 to vec in
// the coordinate system e0, e1, e0^e1
//
// Jumps from 2*pi -> 0 at -small so hopefully parallel vectors with small
// rounding errors should still get the same quadrant.
//
inline scalar pseudoAngle
(
const vector& e0,
const vector& e1,
const vector& vec
)
{
scalar cos = vec & e0;
scalar sin = vec & e1;
if (sin < -small)
{
return (3.0 + cos)*constant::mathematical::piByTwo;
}
else
{
return (1.0 - cos)*constant::mathematical::piByTwo;
}
}
//- Transform a list
template<class Type>
inline List<Type> transform(const tensor& t, const UList<Type>& list)
{
List<Type> tList(list.size());
forAll(list, i)
{
tList[i] = transform(t, list[i]);
}
return tList;
}
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
} // End namespace Foam
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
#endif
// ************************************************************************* //