Nonlinear system identification in structural dynamics: 10 more years of progress
Nonlinear system identification is a vast research field, today attracting a great deal of
attention in the structural dynamics community. Ten years ago, an MSSP paper reviewing …
attention in the structural dynamics community. Ten years ago, an MSSP paper reviewing …
Frequency response based identification of nonlinear oscillators
T Breunung, B Balachandran - Journal of Sound and Vibration, 2025 - Elsevier
Experimental modal analysis is commonly used to identify models for the vibratory behavior
of structures. This is done by conducting a set of experiments to obtain the structure's …
of structures. This is done by conducting a set of experiments to obtain the structure's …
Comparison of nonlinear system identification methods for free decay measurements with application to jointed structures
M **, MRW Brake, H Song - Journal of Sound and Vibration, 2019 - Elsevier
Assembled structures are nonlinear. The sources of this nonlinearity could include the
jointed interfaces, damage and wear, non-idealized boundary conditions, or other features …
jointed interfaces, damage and wear, non-idealized boundary conditions, or other features …
Identification of nonlinear normal modes of engineering structures under broadband forcing
The objective of the present paper is to develop a two-step methodology integrating system
identification and numerical continuation for the experimental extraction of nonlinear normal …
identification and numerical continuation for the experimental extraction of nonlinear normal …
Nonlinear dynamical behavior of the deep white matter during head impact
Traumatic brain injury (TBI) is a major public health concern, affecting as many as 3 million
people each year in the US Despite substantial research efforts in recent years, our physical …
people each year in the US Despite substantial research efforts in recent years, our physical …
Bayesian model selection in nonlinear subspace identification
In nonlinear system identification, one of the main challenges is how to select a nonlinear
model. The accuracy of nonlinear subspace identification depends on the accuracy of the …
model. The accuracy of nonlinear subspace identification depends on the accuracy of the …
Robust force control with a feed-forward inverse model controller for electro-hydraulic control loading systems of flight simulators
A hybrid control strategy for an electro-hydraulic control loading system (EHCLS) of a flight
simulator in the presence of a control mechanism kinetic parameter perturbation is proposed …
simulator in the presence of a control mechanism kinetic parameter perturbation is proposed …
[HTML][HTML] Harmonic-Balance-Based parameter estimation of nonlinear structures in the presence of Multi-Harmonic response and force
Testing nonlinear structures to characterise their internal nonlinear forces is challenging.
Often nonlinear structures are excited by harmonic forces and yield a multi-harmonic …
Often nonlinear structures are excited by harmonic forces and yield a multi-harmonic …
[HTML][HTML] Data-driven structural identification of nonlinear assemblies: Structures with bolted joints
The identification of nonlinearities that have a significant impact on dynamic behaviour of
complex mechanical structures is necessary for ensuring structural efficiency and safety. A …
complex mechanical structures is necessary for ensuring structural efficiency and safety. A …
Methodology for model updating of mechanical components with local nonlinearities
In this work, we propose a new nonlinear model updating strategy based on global/local
nonlinear system identification of the dynamics. The main objective of this study is to …
nonlinear system identification of the dynamics. The main objective of this study is to …