Fast Bayesian approach for modal identification using free vibration data, Part I–Most probable value

FL Zhang, YC Ni, SK Au, HF Lam - Mechanical Systems and Signal …, 2016 - Elsevier
The identification of modal properties from field testing of civil engineering structures is
becoming economically viable, thanks to the advent of modern sensor and data acquisition …

Data-driven machine learning for accurate prediction and statistical quantification of two phase flow regimes

N Ali, B Viggiano, M Tutkun, RB Cal - Journal of Petroleum Science and …, 2021 - Elsevier
Two different two-phase flow regimes including slug and dispersed flows are examined
through the implementation of system identification methods to attain reduced-order models …

First-order error-adapted eigen perturbation for real-time modal identification of vibrating structures

S Panda, T Tripura, B Hazra - … of Vibration and …, 2021 - asmedigitalcollection.asme.org
A new computationally efficient error adaptive first-order eigen-perturbation technique for
real-time modal identification of linear vibrating systems is proposed. The existence of error …

Dynamic performance analysis of the towers of a long‐span bridge based on GPS monitoring technique

MR Kaloop, JW Hu - Journal of Sensors, 2016 - Wiley Online Library
The present study investigates the parameter identification and the dynamic performance of
a long‐span bridge tower based on the output of a global positioning system (GPS) health …

Data analysis and dynamic characteristic investigation of large-scale civil structures monitored by RTK-GNSS based on a hybrid filtering algorithm

C Xiong, M Wang, W Chen - Journal of Civil Structural Health Monitoring, 2022 - Springer
Internal and external factors impacted the safety of large-scale civil engineering structures
after their construction. Thus, this study used the real-time kinematic global navigation …

Forecasting critical points and post-critical limit cycles in nonlinear oscillatory systems using pre-critical transient responses

A Ghadami, BI Epureanu - International Journal of Non-Linear Mechanics, 2018 - Elsevier
A unique method for forecasting Hopf bifurcations and the complete post-bifurcation
dynamics of nonlinear oscillatory systems is proposed. The method is model-less and uses …

Smooth orthogonal decomposition for modal analysis of randomly excited systems

U Farooq, BF Feeny - Journal of Sound and Vibration, 2008 - Elsevier
Modal parameter estimation in terms of natural frequencies and mode shapes is studied
using smooth orthogonal decomposition for randomly excited vibration systems. This work …

[HTML][HTML] Seismic damage identification method for curved beam bridges based on wavelet packet norm entropy

T Deng, J Huang, M Cao, D Li, M Bayat - Sensors, 2021 - mdpi.com
Curved beam bridges, whose line type is flexible and beautiful, are an indispensable bridge
type in modern traffic engineering. Nevertheless, compared with linear bridges, curved …

Forecasting the post-bifurcation dynamics of large-dimensional slow-oscillatory systems using critical slowing down and center space reduction

A Ghadami, BI Epureanu - Nonlinear Dynamics, 2017 - Springer
This paper presents a method for forecasting Hopf bifurcations and the post-bifurcation
dynamics in complex large-dimensional nonlinear systems. This method is based on the …

A frequency domain blind identification method for operational modal analysis using a limited number of sensors

X Li, J Antoni, MJ Brennan, T Yang… - Journal of Vibration and …, 2020 - journals.sagepub.com
Operational modal analysis is an experimental modal analysis approach, which uses
vibration data collected when the structure is under operating conditions. Amongst the …