noise_model

class noise_model.NoiseModel(**kwargs)

Bases: openmdao.core.group.Group

Noise model group. The noise model group connects the following components:

• Geometry: compute geometry parameters of the noise problem

• Source: compute source mean-square acoustic pressure

• Propagation: compute the propagated mean-square acoustic pressure at the observer

• Levels: compute the noise levels at the observer

• LevelsInt: compute the integrated noise levels at the observer

The Geometry, Source, Propagation, Levels and LevelsInt components are available both in Python or Julia. The Julia versions allows for a speed-up of the noise model evaluation as well as partial derivative information of the different submodules (which is not available in the Python versions).

initialize()

Perform any one-time initialization run at instantiation.

setup()

Build this group.

This method should be overidden by your Group’s method. The reason for using this method to add subsystem is to save memory and setup time when using your Group while running under MPI. This avoids the creation of systems that will not be used in the current process.

You may call ‘add_subsystem’ to add systems to this group. You may also issue connections, and set the linear and nonlinear solvers for this group level. You cannot safely change anything on children systems; use the ‘configure’ method instead.

Available attributes:

name pathname comm options