Governing Equation Identification of Nonlinear Single Degree-of-Freedom Oscillators With Coulomb Friction Using Explicit Stick and Slip Temporal Constraints

Journal Article (2023)
Author(s)

Saurabh Mahajan (Student TU Delft)

Alice Cicirello (TU Delft - Mechanics and Physics of Structures)

Research Group
Mechanics and Physics of Structures
Copyright
© 2023 Saurabh Mahajan, A. Cicirello
DOI related publication
https://doi.org/10.1115/1.4063070
More Info
expand_more
Publication Year
2023
Language
English
Copyright
© 2023 Saurabh Mahajan, A. Cicirello
Research Group
Mechanics and Physics of Structures
Issue number
4
Volume number
9
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The friction force at joints of engineering structures is usually unknown and not directly identifiable. This contribution explores a procedure for obtaining the governing equation of motion and correctly identifying the unknown Coulomb friction force of a mass-springdashpot system. In particular, a single degree-of-freedom system is investigated both numerically and experimentally. The proposed procedure extends the state-of-the-art datadriven sparse identification of nonlinear dynamics (SINDy) algorithm by developing a methodology that explicitly imposes constraints encoding knowledge of the nonsmooth dynamics experienced during stick-slip phenomena. The proposed algorithm consists of three steps: (i) data segregation of mass-motion from mass-sticking during stick-slip response; (ii) application of SINDy on the mass-motion dataset to obtain the functional form of the governing equation; and (iii) applying sticking and slipping conditions to identify the unknown system parameters. It is shown that the proposed approach yields an improved estimate of the uncertain system parameters such as stiffness, viscous damping, and magnitude of friction force (all mass normalized) for various signal-to-noise ratios compared to SINDy.

Files

Risk_009_04_041101.pdf
(pdf | 2.42 Mb)
- Embargo expired in 25-02-2024
License info not available