Identification and Synthesis of Components for Vibration Transfer Path Analysis
Doctoral thesis, 2007

Transmission of structure-borne vibrations in built-up structures, e.g. vehicles such as aircraft, automobiles and trains, is addressed. Methodologies for modeling, analysis, prediction and reduction of vibrations are developed. In particular experimental modeling based on testing and system identification is considered. Special attention is given to identification of physically consistent models. Pertinent substructuring methods that can handle component models based on experimental data are discussed. Furthermore, practical difficulties regarding vibrational testing are addressed. A procedure that is able to extract a substructure model from measurements on a larger dynamical system is formulated. The work also concerns methods for transfer path analysis and vibration control. A critical issue is how to characterize a vibration transmission path. It is shown that different approaches may give deviating results in terms of ranking of dominant paths. Regarding vibration control the problem of optimal placement of sensors is investigated. A method based on Kalman filter theory is developed, whereby the sensor placement problem and prediction of responses inaccessible for direct measurement are simultaneously approached.

Sensor placement

Indirect sensing

Vibration control

System identification

Experimental methods

Substructuring

Kalman filter

Transfer path analysis

State-space models

HA1
Opponent: Professor Daniel J. Rixen, Delft University of Technology, The Netherlands

Author

Per Sjövall

Dynamics

Transmisson Path Characterization for Passive Vibration Control

Proceedings of the 14th International Congress on Sound and Vibration (ICSV14),; (2007)

Paper in proceeding

Substructure System Identification from Coupled System Test Data

Mechanical Systems and Signal Processing,; Vol. 22(2007)p. 15-33

Journal article

Component system identification and state-space model synthesis

Mechanical Systems and Signal Processing,; Vol. 21(2007)p. 2697-2714

Journal article

Subject Categories

Mechanical Engineering

ISBN

978-91-7385-026-1

Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 2707

HA1

Opponent: Professor Daniel J. Rixen, Delft University of Technology, The Netherlands

More information

Created

10/7/2017