Domen Ocepek's home page at Laboratory for Dynamics of Machines and Structures

Domen Ocepek

Contact

Assistant Professor

Domen Ocepek, PhD

  Ladisk, Faculty of Mechanical Engineering, University of Ljubljana
  domen.ocepek@fs.uni-lj.si
  +386 1 4771 229

Education

University of Ljubljana, Faculty of Mechanical Engineering, PhD, 2020-2023
University of Ljubljana, Faculty of Mechanical Engineering, M.S., 2017-2020
University of Ljubljana, Faculty of Mechanical Engineering, B.S., 2014-2017

Experience

Technical University of Munich, School of Engineering and Design, Chair of Applied Mechanics (2023)

Interests

Frequency-based Substructuring
Transfer Path Analysis

Publications

Full list of published research

11
A Reduction-Based Approach to Improving the Estimation Consistency of Partial Path Contributions in Operational Transfer-Path Analysis
J. Senčič, M. Pogačar, D. Ocepek and G. Čepon
Applied Mechanics, Volume6, 11 February 2025, 13

download pdf more https://www.mdpi.com/2673-3161/6/1/13

10
On the experimental coupling with continuous interfaces using frequency based substructuring
D. Ocepek, F. Trainotti, G. Čepon, D.J. Rixen and M. Boltežar
Mechanical systems and signal processing, 2024

download pdf more https://doi.org/10.1016/j.ymssp.2024.111517

9
A hybrid modeling strategy for training data generation in machine learning-based structural health monitoring
T. Vrtač, D. Ocepek, M. Česnik, G. Čepon and M. Boltežar
Mechanical systems and signal processing, 2023

download pdf more https://doi.org/10.1016/j.ymssp.2023.110937

8
Impact-Pose Estimation Using ArUco Markers in Structural Dynamics
G. Čepon, D. Ocepek, M. Kodrič, M. Demšar, T. Bregar and M. Boltežar
Experimental Techniques, 2023

download pdf more https://link.springer.com/article/10.1007/s40799-023-00646-0

7
Training artificial neural networks using substructuring techniques: Application to joint identification
J. Korbar, D. Ocepek, G. Čepon and M. Boltežar
Mechanical Systems and Signal Processing, 2023

download pdf more https://doi.org/10.1016/j.ymssp.2023.110426

6
Estimation of the frequency response functions for operational assemblies using independent source characterization
D. Ocepek, T. Vrtač, G. Čepon and M. Boltežar
Mechanical Systems and Signal Processing, 2023

download pdf more https://doi.org/10.1016/j.ymssp.2022.109542

5
System Equivalent Model Mixing: A Modal Domain Formulation
M. Pogačar, D. Ocepek, F. Trainotti, G. Čepon and M. Boltežar
Mechanical Systems and Signal Processing, 2022

download pdf more https://doi.org/10.1016/j.ymssp.2022.109239

4
Characterization of sensor location variations in admittance-based TPA methods
D. Ocepek, G. Čepon and M. Boltežar
Journal of Sound and Vibration, 2022

download pdf more https://doi.org/10.1016/j.jsv.2022.116888

3
Sensitivity-based characterization of the bias errors in frequency based substructuring
G. Čepon, D. Ocepek, J. Korbar, T. Bregar and M. Boltežar
Mechanical Systems and Signal Processing, 2022

download pdf more https://doi.org/10.1016/j.ymssp.2021.108800

2
pyFBS: A Python package for Frequency Based Substructuring
T. Bregar, A. El Mahmoudi, M. Kodrič, D. Ocepek, F. Trainotti, M. Pogačar, M. Göldeli, G. Čepon, M. Boltežar and D. Rixen
Journal of Open Source Software, 2022

download pdf more https://doi.org/10.21105/joss.03399

1
On the estimation of structural admittances from acoustic measurement using a dynamic substructuring approach
D. Ocepek, M. Kodrič, G. Čepon and M. Boltežar
Applied Acoustics, 2021

download pdf more https://doi.org/10.1016/j.apacoust.2021.108115

Master Thesis

1
Improved estimation of FRFs from NAH using dynamic substructuring methodology

Diploma thesis, LADISK, Faculty of Mech Eng, Univ of Ljubljana, March 2020

more http://www.fs.uni-lj.si