Efficient multi-order uncertainty computation for stochastic subspace identification
Stochastic Subspace Identification methods have been extensively used for the modal
analysis of mechanical, civil or aeronautical structures for the last ten years. So-called …
analysis of mechanical, civil or aeronautical structures for the last ten years. So-called …
Finite element model updating: Multiple alternatives
BA Zárate, JM Caicedo - Engineering Structures, 2008 - Elsevier
This paper focuses on the model updating of complex structural systems. Traditional model
updating techniques optimize an objective function to calculate one single optimal model …
updating techniques optimize an objective function to calculate one single optimal model …
Uncertainty quantification of modal parameter estimates obtained from subspace identification: An experimental validation on a laboratory test of a large-scale wind …
The uncertainty afflicting modal parameter estimates stems from eg, the finite data length,
unknown, or partly measured inputs and the choice of the identification algorithm …
unknown, or partly measured inputs and the choice of the identification algorithm …
Variance estimation of modal parameters from output-only and input/output subspace-based system identification
An important step in the operational modal analysis of a structure is to infer on its dynamic
behavior through its modal parameters. They can be estimated by various modal …
behavior through its modal parameters. They can be estimated by various modal …
Fast multi-order computation of system matrices in subspace-based system identification
Subspace methods have proven to be efficient for the identification of linear time-invariant
systems, especially applied to mechanical, civil or aeronautical structures in operation …
systems, especially applied to mechanical, civil or aeronautical structures in operation …
Input-output system identification of a thermoacoustic oscillator near a Hopf bifurcation using only fixed-point data
We present a framework for performing input-output system identification near a Hopf
bifurcation using data from only the fixed-point branch, prior to the Hopf point itself. The …
bifurcation using data from only the fixed-point branch, prior to the Hopf point itself. The …
System identification of a low-density jet via its noise-induced dynamics
Low-density jets are central to many natural and industrial processes. Under certain
conditions, they can develop global oscillations at a limit cycle, behaving as a prototypical …
conditions, they can develop global oscillations at a limit cycle, behaving as a prototypical …
In situ seismic testing for experimental modal analysis of civil structures
S Bertero, PA Tarazaga, R Sarlo - Engineering Structures, 2022 - Elsevier
This paper presents a novel excitation method for in situ experimental modal analysis (EMA)
and compares its performance to ambient vibration analysis, also known as operational …
and compares its performance to ambient vibration analysis, also known as operational …
Comparative study of vibration‐based parametric identification techniques for a three‐dimensional frame structure
E Antonacci, A De Stefano, V Gattulli… - … Control and Health …, 2012 - Wiley Online Library
The entire structural identification process, starting from measurement of the experimental
response to ambient vibration, and concluding with the assessment of a representative …
response to ambient vibration, and concluding with the assessment of a representative …
Modal parameter estimation using interacting Kalman filter
M Zghal, L Mevel, P Del Moral - Mechanical Systems and Signal …, 2014 - Elsevier
The focus of this paper is Bayesian modal parameter recursive estimation based on an
interacting Kalman filter algorithm with decoupled distributions for frequency and damping …
interacting Kalman filter algorithm with decoupled distributions for frequency and damping …