Energy-based dual-phase dynamics identification of clearance nonlinearities
Cristian L\'opez, Keegan J. Moore

TL;DR
This paper introduces the EDDI method, a data-driven approach for identifying equations of motion in nonlinear SDOF oscillators with clearance nonlinearities, using energy relations and minimal system knowledge.
Contribution
The paper presents a novel energy-based dual-phase method for modeling nonlinear SDOF systems with clearance nonlinearities from transient response data.
Findings
Successfully models clearance nonlinearities in SDOF systems
Applicable to both smooth and non-smooth mechanical systems
Uses only mass and response data for identification
Abstract
The energy-based dual-phase dynamics identification (EDDI) method is a new data-driven technique for the discovery of equations of motion (EOMs) of strongly nonlinear single-degree-of-freedom (SDOF) oscillators. This research uses the EDDI method to obtain mathematical models for SDOF systems with clearance nonlinearities. The first key aspect of the EDDI method is that it relates the kinetic energy of the system to the dissipated energy and the underlying non-conservative forces acting on the oscillator. The second key aspect is that the EOM is identified with only knowledge of the mass of the oscillator and the transient response. The first phase of the EDDI method constructs the dissipated energy from the kinetic energy, then identifies a mathematical model for the damping based on the dissipated energy. To achieve this, the moments in time when the displacements are zero, where the…
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Taxonomy
TopicsFault Detection and Control Systems · Control Systems and Identification · Structural Health Monitoring Techniques
