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Bayesian methods for updating dynamic models
Abstract Model updating of dynamical systems has been attracting much attention because it
has a very wide range of applications in aerospace, civil, and mechanical engineering, etc …
has a very wide range of applications in aerospace, civil, and mechanical engineering, etc …
[HTML][HTML] Fatigue assessment of wind turbine towers: Review of processing strategies with illustrative case study
J Pacheco, F Pimenta, S Pereira, Á Cunha… - Energies, 2022 - mdpi.com
Wind turbines are structures predominantly subjected to dynamic loads throughout their
period of life. In that sense, fatigue design plays a central role. Particularly, support structure …
period of life. In that sense, fatigue design plays a central role. Particularly, support structure …
A dual Kalman filter approach for state estimation via output-only acceleration measurements
A dual implementation of the Kalman filter is proposed for estimating the unknown input and
states of a linear state-space model by using sparse noisy acceleration measurements. The …
states of a linear state-space model by using sparse noisy acceleration measurements. The …
Frequency-domain methods for a vibration-fatigue-life estimation–application to real data
The characterization of vibration-fatigue strength is one of the key parts of mechanical
design. It is closely related to structural dynamics, which is generally studied in the …
design. It is closely related to structural dynamics, which is generally studied in the …
[HTML][HTML] An adaptive-noise Augmented Kalman Filter approach for input-state estimation in structural dynamics
The establishment of a Digital Twin of an operating engineered system can increase the
potency of Structural Health Monitoring (SHM) tools, which are then bestowed with …
potency of Structural Health Monitoring (SHM) tools, which are then bestowed with …
Joint input-response estimation for structural systems based on reduced-order models and vibration data from a limited number of sensors
An algorithm is presented for jointly estimating the input and state of a structure from a
limited number of acceleration measurements. The algorithm extends an existing joint input …
limited number of acceleration measurements. The algorithm extends an existing joint input …
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 …
Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment
Many of the civil structures experience significant vibrations and repeated stress cycles
during their life span. These conditions are the bases for fatigue analysis to accurately …
during their life span. These conditions are the bases for fatigue analysis to accurately …
Joint input-state estimation in structural dynamics
This paper presents a joint input-state estimation algorithm that can be used for the
identification of forces applied to a structure and for the extrapolation of the measured data …
identification of forces applied to a structure and for the extrapolation of the measured data …
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 …