TY - GEN
T1 - Exploring and applying sparse regression in admittance-based TPA methods
AU - Ocepek, D.
AU - Trainotti, F.
AU - Korbar, J.
AU - Rixen, D. J.
AU - Boltežar, M.
AU - Čepon, G.
N1 - Publisher Copyright:
© 2024 Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics. All rights reserved.
PY - 2024
Y1 - 2024
N2 - This study investigates the use of sparse regression, specifically LASSO (least absolute shrinkage and selection operator), in admittance-based transfer path analysis (TPA) to identify critical transmission paths for sound and vibration propagation in assembled products. Application of TPA methods notoriously requires careful interface modeling in terms of interface degrees of freedom (DoFs) to avoid redundancy and error amplification in the estimated set of forces that replicate assembly's operational response. LASSO sheds light on the selection of the significant interface DoFs by promoting sparsity in the set of DoFs proposed by experimentalist. Case studies on single- and multi-point interfaces provide insights into the implementation and application of the sparse regression for use in inverse problem of TPA methods.
AB - This study investigates the use of sparse regression, specifically LASSO (least absolute shrinkage and selection operator), in admittance-based transfer path analysis (TPA) to identify critical transmission paths for sound and vibration propagation in assembled products. Application of TPA methods notoriously requires careful interface modeling in terms of interface degrees of freedom (DoFs) to avoid redundancy and error amplification in the estimated set of forces that replicate assembly's operational response. LASSO sheds light on the selection of the significant interface DoFs by promoting sparsity in the set of DoFs proposed by experimentalist. Case studies on single- and multi-point interfaces provide insights into the implementation and application of the sparse regression for use in inverse problem of TPA methods.
UR - http://www.scopus.com/inward/record.url?scp=85212201436&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85212201436
T3 - Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics
SP - 3572
EP - 3586
BT - Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics
A2 - Desmet, W.
A2 - Pluymers, B.
A2 - Moens, D.
A2 - del Fresno Zarza, J.
PB - KU Leuven, Departement Werktuigkunde
T2 - 31st International Conference on Noise and Vibration Engineering, ISMA 2024 and 10th International Conference on Uncertainty in Structural Dynamics, USD 2024
Y2 - 9 September 2024 through 11 September 2024
ER -