Auflistung Nach Schlagwort "Unscented Kalman Filter"
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Adaptive Kalman filters for nonlinear finite element model updating
(2020)This paper presents two adaptive Kalman filters (KFs) for nonlinear model updating where, in addition to nonlinear model parameters, the covariance matrix of measurement noise is estimated recursively in a near online ... -
Fatigue assessment in steel railway bridges using output only vibration measurements and partial structural information
(2016)A novel methodological framework for the online fatigue lifetime assessment of steel railway bridges is presented in this paper. By adopting a simply supported beam model amenable to a moving force at a constant velocity, ... -
Input-state-parameter estimation of structural systems from limited output information
(2019)A successive Bayesian filtering framework for addressing the joint input-state-parameter estimation problem is proposed in this study. Following the notion of analytical, rather than hardware redundancy, the envisaged ... -
Nonlinear Model Updating Using Recursive and Batch Bayesian Methods
(2020)This paper studies the performance of recursive and batch Bayesian methods for nonlinear model updating. Unscented Kalman filter (UKF) is selected to represent the recursive Bayesian method, and two UKF approaches are ... -
Output-only fatigue prediction of uncertain steel structures
(2016)A fatigue estimation framework for steel structures is proposed in this study, under realistic assump-tions on the sensor network capacity and under the premise of uncertainty in the structural information available ... -
Recent advances on the hybrid simulation of bridges base on partitioned time integration, dynamic identification and model updating
(2015)The influence of the seismic performance of existing bridges on the functionality of communication infrastructures is widely recognized as a crucial issue. Therefore, Hybrid Simulation with Dynamic Substructuring (HS-DS) ...