pyFBS: A Python Package for Frequency-Based Substructuring

Miha Kodrič, Domen Ocepek, Miha Pogačar, Francesco Trainotti, Tomaž Bregar, Ahmed El Mahmoudi, Gregor Čepon, Miha Boltežar, Daniel Rixen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

pyFBS is a Python package for frequency-based substructuring, transfer path analysis, and also, as new additions, multi-reference modal identification and a variety of different expansion techniques. It enables the user to use state-of-the-art dynamic substructuring methodologies in an intuitive manner. With the package also basic and application examples are provided, together with real datasets, so you can directly try out the capabilities of the pyFBS. It is not only currently being used by several undergraduate students and postgraduate researchers but also offers great potential in various industrial projects. Within this chapter, a short recap of pyFBS capabilities is presented, and plans for the future goals are set. The pyFBS team plans to share the most advanced tools and methods in the field of dynamic substructuring and transfer path analysis. The goal is to create a common working base for scientists interested in this topic.

Original languageEnglish
Title of host publicationDynamic Substructures - Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics 2024
EditorsWalter D’Ambrogio, Dan Roettgen, Maarten van der Seijs
PublisherSpringer
Pages105-109
Number of pages5
ISBN (Print)9783031688966
DOIs
StatePublished - 2025
Event42nd IMAC, A Conference and Exposition on Structural Dynamics, IMAC 2024 - Orlando, United States
Duration: 29 Jan 20241 Feb 2024

Publication series

NameConference Proceedings of the Society for Experimental Mechanics Series
ISSN (Print)2191-5644
ISSN (Electronic)2191-5652

Conference

Conference42nd IMAC, A Conference and Exposition on Structural Dynamics, IMAC 2024
Country/TerritoryUnited States
CityOrlando
Period29/01/241/02/24

Keywords

  • Expansion techniques
  • Modal identification
  • Open source
  • Python
  • Rubber mount Identification

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