Back in 2013 I began working on a Python implementation for Statistical Energy Analysis or SEA as part of my master thesis. SEA is used in the field of vibro-acoustics to predict high-frequent noise and vibration.

The implementation, named seapy, consists of a set of classes with which an SEA model or system can constructed. New SEA components, subsystems and couplings can quickly be added by simply subclassing the respective base class. Models can be created programmatically or declaratively as a YAML file.

For more information about this project, please check the repository.