The unscented Kalman filter and particle filter methods for nonlinear structural system identification with non‐collocated heterogeneous sensing
The use of heterogeneous, non‐collocated measurements for nonlinear structural system
identification is explored herein. In particular, this paper considers the example of sensor …
identification is explored herein. In particular, this paper considers the example of sensor …
Dynamic strain estimation for fatigue assessment of an offshore monopile wind turbine using filtering and modal expansion algorithms
Offshore wind turbines are exposed to continuous wind and wave excitation. The monitoring
of high periodic strains at critical locations is important to assess the remaining lifetime of the …
of high periodic strains at critical locations is important to assess the remaining lifetime of the …
Quantification, localization, and reconstruction of impact force on interval composite structures
Impact force identification has been intensively studied owing to its profound effects on
health monitoring and safety assessment. This study investigates a novel uncertainty …
health monitoring and safety assessment. This study investigates a novel uncertainty …
A new Kalman filter approach for structural parameter tracking: Application to the monitoring of damaging structures tested on shaking-tables
In this paper, a new data assimilation framework for correcting finite element models from
datasets acquired on-the-fly in low-frequency dynamics is presented. An Unscented Kalman …
datasets acquired on-the-fly in low-frequency dynamics is presented. An Unscented Kalman …
Experimental validation of the Kalman-type filters for online and real-time state and input estimation
In this study, a novel dual implementation of the Kalman filter proposed by Eftekhar Azam et
al.(2014, 2015) is experimentally validated for simultaneous estimation of the states and …
al.(2014, 2015) is experimentally validated for simultaneous estimation of the states and …
Developments of inverse analysis by Kalman filters and Bayesian methods applied to geotechnical engineering
A Murakami, K Fujisawa, T Shuku - … of the Japan Academy, Series B, 2023 - jstage.jst.go.jp
The present paper reviews recent activities on inverse analysis strategies in geotechnical
engineering using Kalman filters, nonlinear Kalman filters, and Markov chain Monte Carlo …
engineering using Kalman filters, nonlinear Kalman filters, and Markov chain Monte Carlo …
Experimental application of on-line parametric identification for nonlinear hysteretic systems with model uncertainty
This study presents a methodology for the on-line identification of nonlinear hysteretic
systems where not only the parameters of the system are unknown but also the nature of the …
systems where not only the parameters of the system are unknown but also the nature of the …
Unscented Kalman filtering for nonlinear structural dynamics
Joint estimation of unknown model parameters and unobserved state components for
stochastic, nonlinear dynamic systems is customarily pursued via the extended Kalman filter …
stochastic, nonlinear dynamic systems is customarily pursued via the extended Kalman filter …
mCRE-based parameter identification from full-field measurements: Consistent framework, integrated version, and extension to nonlinear material behaviors
In this paper, we address the effective and robust identification of material behavior
parameters from full-field measurements obtained by means of the advanced Digital Image …
parameters from full-field measurements obtained by means of the advanced Digital Image …
An experimental validation of time domain system identification methods with fusion of heterogeneous data
MN Chatzis, EN Chatzi… - Earthquake Engineering & …, 2015 - Wiley Online Library
Recent events of significant seismic activity (L'Aquila 2009, Christchurch 2011), have
highlighted the importance of accurately assessing the properties of structures, for …
highlighted the importance of accurately assessing the properties of structures, for …