Definition of a linear property: \(y(x_{i}) = y_{\textrm{ref}} \left(1 + \sum_{i=1}^{n} m_{i} (x_{i} - x_{i,\textrm{ref}})\right)\) where
- \(x_{i}\) can be a number of dependent variables, for instance temperature, pressure
- \(y_{\textrm{ref}}\) is a reference value, for instance reference density
- \(m_{i}\) is a value influencing the slope of the linear relationship with respect to dependent variable
- \(x_{i, \textrm{ref}}\) is a reference condition with respect to dependent variable, for instance reference temperature, reference pressure
Child parameters, attributes and cases
Additional info
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Used in the following test data files