Analysis Solution |
Analysis Modeler |
Analysis ProcessThe standard processes for CATAnalysisCharacCollector manipulation |
Quick Reference |
AbstractThis article explains the list of processes provided with the analysis modeler in order to convert the CATAnalysisCharacCollector data. It includes the following section: |
We have defined some standard processes. They are used to filter values or to apply a mathematical computation on the input characteristic. All these processes will be listed below.
Process Name |
Process Definition |
Input Parameters |
SPMProcessAbsoluteValue | This process is used to compute the absolute value of a scalar. | No parameter |
SPMProcessAbsOrderEigenValue | This process is used to reorder an eigen tensor (depending on the absolute value). | No parameter |
SPMProcessComplex | This process filters the given part of complex ( real , imaginary, phase or modulus). | One INTEGER parameter : real =0, imaginary=1, phase=2, modulus=3 (default value : real) |
SPMProcessComponent | This process filters the given component. | One INTEGER parameter : the component number to keep (0=C1, 1=C2,...) (default value : 0=C1) |
SPMProcessInterval | This process filters the values of characteristic belonging
to intervals defined by their limits (up to 5 coefficients). The defined
intervals may be included or excluded.
I-----------I-----------I-----------I-----------I-----------I-----------I -00 Coef1 Coef2 Coef3 Coef4 Coef5 +00 |
From one to six INTEGER parameters : describing if intervals
are included ( 1=[coefi,coefj], 2=[coefi,coefj[, 3=]coefi,coefj],
4=]coefi,coefj[ ) or excluded (0).
From zero to five FLOAT parameters giving the limits of intervals (Coefi values). |
SPMProcessLamina | This process filters the given lamina number | One INTEGER parameter : the lamina number to keep. (default = first lamina =0) |
SPMProcessLinear | This process computes y=ax+b (x is the input characteristic, y the output characteristic, a and b are given coefficients). | Two FLOAT parameters : a and b coefficients ( default values : a=1.f b=0.f) |
SPMProcessNormalize | This process is used to normalize a vector | No parameter |
SPMProcessPrincipalValues | This process is used to change a full or symmetrical tensor to an eigen tensor | No parameter |
SPMProcessSmi | This process filters the given layer (upper, mid, lower or upper_lower) | One INTEGER parameter : describing the layer to keep. (upper = 0 , mid = 1, lower = 2) (default value = upper = 0). The upper_lower option needs two INTEGERS (upper = 0 and lower = 2) |
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Version |
Input Characteristic |
Output Characteristic |
Value Types | SHORT, INTEGER, REAL, DOUBLE | SHORT, INTEGER, REAL, DOUBLE |
Mathematical Types | SCALAR | SCALAR |
Mathematical Dimensions | 1D | 1D |
RefFrame | LOCAL, GLOBAL, NONE | LOCAL, GLOBAL, NONE |
Category | NODE, ELEMENT | NODE, ELEMENT |
ValuesAreCombined | TRUE, FALSE | TRUE, FALSE |
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Version |
Input Characteristic |
Output Characteristic |
Value Types | SHORT, INTEGER, REAL, DOUBLE | SHORT, INTEGER, REAL, DOUBLE |
Mathematical Types | EIGEN_VALUES | EIGEN_VALUES |
Mathematical Dimensions | 1D, 2D, 3D | 1D, 2D, 3D |
RefFrame | LOCAL, GLOBAL | LOCAL, GLOBAL |
Category | NODE, ELEMENT | NODE, ELEMENT |
ValuesAreCombined | TRUE, FALSE | TRUE, FALSE |
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Version |
Input Characteristic |
Output Characteristic |
Value Types | COMPLEX, COMPLEX_DOUBLE | REAL, DOUBLE |
Mathematical Types | SCALAR, VECTOR | SCALAR |
Mathematical Dimensions | 1D, 2D, 3D | 1D, 2D, 3D |
RefFrame | LOCAL, GLOBAL, NONE | LOCAL, GLOBAL, NONE |
Category | NODE, ELEMENT | NODE, ELEMENT |
ValuesAreCombined | TRUE, FALSE | TRUE, FALSE |
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Version |
Input Characteristic |
Output Characteristic |
Value Types | SHORT, INTEGER, REAL, DOUBLE | SHORT, INTEGER, REAL, DOUBLE |
Mathematical Types | VECTOR, TENSOR, EIGEN_VALUES, SYMMETRICAL_TENSOR | SCALAR |
Mathematical Dimensions | 1D, 2D, 3D | 1D |
RefFrame | LOCAL, GLOBAL, NONE | LOCAL, GLOBAL, NONE |
Category | NODE, ELEMENT | NODE, ELEMENT |
ValuesAreCombined | TRUE, FALSE | TRUE, FALSE |
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Version |
Input Characteristic |
Output Characteristic |
Value Types | SHORT, INTEGER, REAL, DOUBLE | SHORT, INTEGER, REAL, DOUBLE |
Mathematical Types | SCALAR | SCALAR |
Mathematical Dimensions | 1D, 2D, 3D | 1D, 2D, 3D |
RefFrame | LOCAL, GLOBAL, NONE | LOCAL, GLOBAL, NONE |
Category | NODE, ELEMENT | NODE, ELEMENT |
ValuesAreCombined | TRUE, FALSE | TRUE, FALSE |
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Version |
Input Characteristic |
Output Characteristic |
Value Types | SHORT, INTEGER, REAL, DOUBLE | SHORT, INTEGER, REAL, DOUBLE |
Mathematical Types | SCALAR, VECTOR, TENSOR, EIGEN_VALUES, SYMMETRICAL_TENSOR | SCALAR, VECTOR, TENSOR, EIGEN_VALUES, SYMMETRICAL_TENSOR |
Mathematical Dimensions | 1D, 2D, 3D | 1D, 2D, 3D |
RefFrame | LOCAL, GLOBAL, NONE | LOCAL, GLOBAL, NONE |
Category | NODE, ELEMENT | NODE, ELEMENT |
ValuesAreCombined | TRUE, FALSE | TRUE, FALSE |
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Version |
Input Characteristic |
Output Characteristic |
Value Types | SHORT, INTEGER, REAL, DOUBLE | SHORT, INTEGER, REAL, DOUBLE |
Mathematical Types | SCALAR, VECTOR, TENSOR, EIGEN_VALUES, SYMMETRICAL_TENSOR | SCALAR, VECTOR, TENSOR, EIGEN_VALUES, SYMMETRICAL_TENSOR |
Mathematical Dimensions | 1D, 2D, 3D | 1D, 2D, 3D |
RefFrame | LOCAL, GLOBAL, NONE | LOCAL, GLOBAL, NONE |
Category | NODE, ELEMENT | NODE, ELEMENT |
ValuesAreCombined | TRUE, FALSE | TRUE, FALSE |
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Version |
Input Characteristic |
Output Characteristic |
Value Types | SHORT, INTEGER, REAL, DOUBLE | SHORT, INTEGER, REAL, DOUBLE |
Mathematical Types | VECTOR | SCALAR |
Mathematical Dimensions | 1D, 2D, 3D | 1D |
RefFrame | LOCAL, GLOBAL, NONE | NONE |
Category | NODE, ELEMENT | NODE, ELEMENT |
ValuesAreCombined | TRUE, FALSE | TRUE, FALSE |
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Version |
Input Characteristic |
Output Characteristic |
Value Types | SHORT, INTEGER, REAL, DOUBLE | SHORT, INTEGER, REAL, DOUBLE |
Mathematical Types | TENSOR, SYMMETRICAL_TENSOR | EIGEN_VALUES |
Mathematical Dimensions | 1D, 2D, 3D | 1D, 2D, 3D |
RefFrame | LOCAL, GLOBAL | LOCAL |
Category | NODE, ELEMENT | NODE, ELEMENT |
ValuesAreCombined | TRUE, FALSE | TRUE, FALSE |
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Version |
Input Characteristic |
Output Characteristic |
Value Types | SHORT, INTEGER, REAL, DOUBLE | SHORT, INTEGER, REAL, DOUBLE |
Mathematical Types | SCALAR, VECTOR, TENSOR, EIGEN_VALUES, SYMMETRICAL_TENSOR | SCALAR, VECTOR, TENSOR, EIGEN_VALUES, SYMMETRICAL_TENSOR |
Mathematical Dimensions | 1D, 2D, 3D | 1D, 2D, 3D |
RefFrame | LOCAL, GLOBAL, NONE | LOCAL, GLOBAL, NONE |
Category | NODE, ELEMENT | NODE, ELEMENT |
ValuesAreCombined | TRUE, FALSE | TRUE, FALSE |
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Version: 1 [Jan 2003] | Document created |
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