Bayesian operational modal analysis of structures with tuned mass damper
Tuned mass damper (TMD) is a common strategy to reduce structural vibration in a passive
manner without the need for active power. The basic parameters of a TMD include its mass …
manner without the need for active power. The basic parameters of a TMD include its mass …
Automated modal parameter estimation using correlation analysis and bootstrap sampling
V Yaghoubi, MK Vakilzadeh… - Mechanical Systems and …, 2018 - Elsevier
The estimation of modal parameters from a set of noisy measured data is a highly
judgmental task, with user expertise playing a significant role in distinguishing between …
judgmental task, with user expertise playing a significant role in distinguishing between …
Constrained maximum likelihood modal parameter identification applied to structural dynamics
A new modal parameter estimation method to directly establish modal models of structural
dynamic systems satisfying two physically motivated constraints will be presented. The …
dynamic systems satisfying two physically motivated constraints will be presented. The …
Probabilistic investigation of error propagation in frequency domain decomposition‐based operational modal analysis
Ç Hızal, E Aktaş - Structural control and health monitoring, 2021 - Wiley Online Library
Each operational modal analysis (OMA) technique may produce significant errors during the
identification procedure due to the applied methodology, environmental/operational …
identification procedure due to the applied methodology, environmental/operational …
FRF-based probabilistic modal parameter identification of structures with known seismic input
Ç Hızal - Mechanical Systems and Signal Processing, 2023 - Elsevier
In this study, an FRF based Bayesian approach is presented for modal identification of civil
structures with known seismic input. The proposed method utilizes the statistical properties …
structures with known seismic input. The proposed method utilizes the statistical properties …
An analytical investigation into the propagation properties of uncertainty in a two-stage fast Bayesian spectral density approach for ambient modal analysis
WJ Yan, LS Katafygiotis - Mechanical systems and signal processing, 2019 - Elsevier
This paper investigates the uncertainty propagation properties of a two-stage fast Bayesian
spectral density approach (two-stage fast BSDA) with separated modes proposed previously …
spectral density approach (two-stage fast BSDA) with separated modes proposed previously …
A robust poly-reference frequency-domain identification method to extract dynamic properties from vibration data
SDR Amador, R Brincker - Communications Engineering, 2023 - nature.com
When performing vibration tests on structural systems, engineers face the challenge of
extracting the dynamic properties from the measured data in an accurate and robust …
extracting the dynamic properties from the measured data in an accurate and robust …
A Gibbs sampling algorithm for structural modal identification under seismic excitation
Identification of structural modal parameters under seismic excitation using operational
modal analysis (OMA) is a challenging task because it violates the basic assumptions of …
modal analysis (OMA) is a challenging task because it violates the basic assumptions of …
Uncertainty laws of experimental modal analysis with known broadband input
Abstract 'Uncertainty law'aims at closed-form asymptotic formulas for the relationship
between the identification uncertainties of modal properties (eg, natural frequency, damping …
between the identification uncertainties of modal properties (eg, natural frequency, damping …
On the computation of stable coupled state-space models for dynamic substructuring applications
RSO Dias, M Martarelli, P Chiariotti - Mechanical Systems and Signal …, 2023 - Elsevier
This paper aims at introducing a methodology to compute stable coupled state-space
models for dynamic substructuring applications by introducing two novel approaches …
models for dynamic substructuring applications by introducing two novel approaches …