A three-stage automated modal identification framework for bridge parameters based on frequency uncertainty and density clustering

Y He, JP Yang, YF Li - Engineering Structures, 2022 - Elsevier
As the automated modal analysis is crucial for a continuous monitoring system, this study
proposes a framework for automated modal identification of bridge parameters based on the …

Uncertainty quantification of modal parameter estimates obtained from subspace identification: An experimental validation on a laboratory test of a large-scale wind …

S Greś, R Riva, CY Süleyman, P Andersen… - Engineering …, 2022 - Elsevier
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 …

[HTML][HTML] Review of Bridge Structure Damping Model and Identification Method

C Qu, G Tu, F Gao, L Sun, S Pan, D Chen - Sustainability, 2024 - mdpi.com
Damping is a fundamental characteristic of bridge structures, reflecting their ability to
dissipate energy during vibration. In the design and maintenance of bridges, the damping …

Uncertainty quantification of input matrices and transfer function in input/output subspace system identification

S Greś, M Döhler, NJ Jacobsen, L Mevel - Mechanical Systems and Signal …, 2022 - Elsevier
The transfer function of a linear mechanical system can be defined in terms of the quadruplet
of state-space matrices (A, B, C, D) that can be identified from input and output …

[HTML][HTML] Low-rank approximation of Hankel matrices in denoising applications for statistical damage diagnosis of wind turbine blades

S Greś, KE Tatsis, V Dertimanis, E Chatzi - Mechanical Systems and Signal …, 2023 - Elsevier
Abstract Model order selection is a fundamental task in subspace identification for estimation
of modal parameters, uncertainty propagation and damage diagnosis. However, the true …

Experimental investigation of in-flow fluidelastic instability for rotated triangular tube bundles subjected to single-phase and two-phase transverse flows

P Piteau, X Delaune, D Panunzio, R Lagrange… - Journal of Fluids and …, 2023 - Elsevier
The in-flow fluidelastic instability of tube bundles prompted renewed interest since the recent
unanticipated failure of the replacement steam generators at the San Onofre nuclear power …

Assessing uncertainty in fast Bayesian modal identification based on seismic structural responses

YC Ni, HF Lam, FL Zhang - Mechanical Systems and Signal Processing, 2023 - Elsevier
Modal identification is an important step to evaluate the basic modal properties of structures
using measured data. In this process, the existence of modeling error and measurement …

Influence of Hankel matrix dimension on system identification of structures using stochastic subspace algorithms

M Pourgholi, MM Gilarlue, T Vahdaini… - Mechanical Systems and …, 2023 - Elsevier
In stochastic subspace methods, the modal analysis results are highly dependent on the
dimensions of the Hankel matrix. Increasing the dimensions of the Hankel matrix (especially …

Subspace‐based Mahalanobis damage detection robust to changes in excitation covariance

S Greś, M Döhler, P Andersen… - Structural Control and …, 2021 - Wiley Online Library
In the context of detecting changes in structural systems, several vibration‐based damage
detection methods have been proposed and successfully applied to both mechanical and …

[HTML][HTML] Structural performance assessment of full-scale masonry wall systems using operational modal analysis: Laboratory testing and numerical simulations

A Meoni, A D'Alessandro, M Mattiacci… - Engineering …, 2024 - Elsevier
Abstract Operational Modal Analysis (OMA) is a powerful approach to be used in structural
performance assessment of historical masonry buildings during their service life. OMA is …