Towards an improved experimental joint identification in frequency-based substructuring

Korbar, Jure (author), Ocepek, Domen (author), Pogačar, Miha (author), Čepon, Gregor (author)

The dynamic behavior of assembled structures is strongly influenced by the dynamic properties of connections between the individual substructures, commonly referred to as joints. Accurately predicting assembly dynamics relies on identifying joint properties, which are influenced by factors such as preload, temperature, and vibration amplitude. These interactions make analytical and numerical modeling challenging, necessitating an experimental modeling approach. This study presents a joint identification framework inspired by the Lagrange multiplier frequency-based substructuring, along with four mutually independent modifications to the identification approach. These modifications comprise sparse regression, rigid-body mode constraints, excitation direction updating, and indirect parametrization. A parametrization-based approach is employed for estimating the mass, damping, and stiffness properties of the joint. The numerical and experimental results highlight the benefits of each modification and demonstrate the effectiveness of the proposed framework for robust joint property estimation.

• Language: English
• Keywords: joint identification, regularization, virtual point transformation, impact excitation, dynamic substructuring
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FS - Faculty of Mechanical Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2025
• Number of pages: 26 str.
• Numbering: Vol. 238, art. 113115
• PID: 20.500.12556/RUL-171502
• UDC: 531.3:004.42
• ISSN on article: 0888-3270
• DOI: 10.1016/j.ymssp.2025.113115
• COBISS.SI-ID: 246779395
• Publication date in RUL: 27.08.2025

Record is a part of a journal

• Title: Mechanical systems and signal processing
• Shortened title: Mech. syst. signal process.
• Publisher: Academic Press
• ISSN: 0888-3270
• COBISS.SI-ID: 169243

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Keywords: karakterizacija spojev, regularizacija, transformacija virtualne točke, impulzno vzbujanje, dinamsko podstrukturiranje