engine.pipeline.numerical_robustness.DimensionalValidator Class Reference

Public Member Functions
bool	validate_equation (cls, Dict[str, float] left_side, Dict[str, float] right_side)

Static Public Attributes
dict	DIMENSIONS

Detailed Description

Validates dimensional consistency of physical quantities

Definition at line 28 of file numerical_robustness.py.

Member Function Documentation

validate_equation()

bool engine.pipeline.numerical_robustness.DimensionalValidator.validate_equation	(		cls,
		Dict[str, float]	left_side,
		Dict[str, float]	right_side )

Validate that left_side and right_side have same dimensions.

Parameters:
-----------
left_side : dict
    {quantity_name: value} where quantity_name is a key in DIMENSIONS
right_side : dict
    Same format as left_side
    
Returns:
--------
is_valid : bool

Definition at line 51 of file numerical_robustness.py.

References DIMENSIONS.

Member Data Documentation

DIMENSIONS

dict engine.pipeline.numerical_robustness.DimensionalValidator.DIMENSIONS

static

Initial value:

=  {
        "length": [1, 0, 0, 0, 0, 0, 0],
        "mass": [0, 1, 0, 0, 0, 0, 0],
        "time": [0, 0, 1, 0, 0, 0, 0],
        "temperature": [0, 0, 0, 1, 0, 0, 0],
        "pressure": [-1, 1, -2, 0, 0, 0, 0],  # Pa = kg/(m·s²)
        "density": [-3, 1, 0, 0, 0, 0, 0],  # kg/m³
        "velocity": [1, 0, -1, 0, 0, 0, 0],  # m/s
        "force": [1, 1, -2, 0, 0, 0, 0],  # N = kg·m/s²
        "energy": [2, 1, -2, 0, 0, 0, 0],  # J = kg·m²/s²
        "power": [2, 1, -3, 0, 0, 0, 0],  # W = kg·m²/s³
        "mass_flow": [0, 1, -1, 0, 0, 0, 0],  # kg/s
        "heat_flux": [0, 1, -3, 0, 0, 0, 0],  # W/m² = kg/s³
        "viscosity": [-1, 1, -1, 0, 0, 0, 0],  # Pa·s = kg/(m·s)
        "thermal_conductivity": [1, 1, -3, -1, 0, 0, 0],  # W/(m·K)
        "specific_heat": [2, 0, -2, -1, 0, 0, 0],  # J/(kg·K)
    }

Definition at line 32 of file numerical_robustness.py.

Referenced by validate_equation().

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The documentation for this class was generated from the following file:

• EngineDesign/engine/pipeline/numerical_robustness.py