A critical review for trustworthy and explainable structural health monitoring and risk prognosis of bridges with human-in-the-loop
Trustworthy and explainable structural health monitoring (SHM) of bridges is crucial for
ensuring the safe maintenance and operation of deficient structures. Unfortunately, existing …
ensuring the safe maintenance and operation of deficient structures. Unfortunately, existing …
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 …
Bayesian updating and identifiability assessment of nonlinear finite element models
A promising and attractive way of performing structural health monitoring (SHM) and
damage prognosis (DP) of engineering systems is through utilizing a nonlinear finite …
damage prognosis (DP) of engineering systems is through utilizing a nonlinear finite …
A dual adaptive filtering approach for nonlinear finite element model updating accounting for modeling uncertainty
This paper proposes a novel approach to deal with modeling uncertainty when updating
mechanics-based nonlinear finite element (FE) models. In this framework, a dual adaptive …
mechanics-based nonlinear finite element (FE) models. In this framework, a dual adaptive …
Finite element model updating through derivative-free optimization algorithm
D Li, J Zhang - Mechanical Systems and Signal Processing, 2023 - Elsevier
Finite element (FE) model of updating is the process of calibrating model parameters to
improve the accuracy of numerical prediction. This goal is usually achieved by solving an …
improve the accuracy of numerical prediction. This goal is usually achieved by solving an …
A Kalman filter algorithm for identifying track irregularities of railway bridges using vehicle dynamic responses
Track irregularities affect the running safety of railway vehicles and ride comfort, hence track
irregularity identification using the dynamic responses of in-service vehicles is of great …
irregularity identification using the dynamic responses of in-service vehicles is of great …
Input-state-parameter-noise identification and virtual sensing in dynamical systems: A Bayesian expectation-maximization (BEM) perspective
Structural identification and damage detection can be generalized as the simultaneous
estimation of input forces, physical parameters, and dynamical states. Although Kalman-type …
estimation of input forces, physical parameters, and dynamical states. Although Kalman-type …
Effects of model uncertainty in nonlinear structural finite element model updating by numerical simulation of building structures
R Astroza, A Alessandri - Structural Control and Health …, 2019 - Wiley Online Library
Uncertainties in finite element (FE) model updating arise from two main sources:
measurement noise and modeling errors. The latter includes model parameter uncertainty …
measurement noise and modeling errors. The latter includes model parameter uncertainty …
Estimation of time-varying noise parameters for unscented Kalman filter
The unscented Kalman filter (UKF) is a promising method for system state and structural
parameters estimation. However, its performance depends on the process noise and …
parameters estimation. However, its performance depends on the process noise and …
Structural nonlinear boundary condition identification using a hybrid physics data-driven approach
As civil infrastructures often exhibit nonlinearities, the identification of nonlinear behaviors is
crucial to assess the structural safety state. However, existing physics-driven methods can …
crucial to assess the structural safety state. However, existing physics-driven methods can …