A new Kalman filter approach for structural parameter tracking: Application to the monitoring of damaging structures tested on shaking-tables

M Diaz, PÉ Charbonnel, L Chamoin - Mechanical Systems and Signal …, 2023 - Elsevier
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 …

Hybrid simulation framework with mixed displacement and force control for fully compatible displacements

C Sepulveda, G Mosqueda, KJ Wang… - Earthquake …, 2024 - Wiley Online Library
A novel framework for hybrid simulation of the seismic response of structures is presented
that employs a mixed displacement and force control strategy. A key feature of this …

Real-time parameter updating for nonlinear digital twins using inverse mapping models and transient-based features

BM Kessels, RHB Fey, N van de Wouw - Nonlinear dynamics, 2023 - Springer
In the context of digital twins, it is essential that a model gives an accurate description of the
(controlled) dynamic behavior of a physical system during the system's entire operational …

Parameter, input and state estimation for linear structural dynamics using parametric model order reduction and augmented Kalman filtering

CE Capalbo, D De Gregoriis, T Tamarozzi… - … Systems and Signal …, 2023 - Elsevier
Tracking the evolution in time of parameters, input and states of a structural dynamic system
is often difficult, since their direct measurement can be problematic or even impossible. It is …

Selective online model updating in hybrid simulation of a full‐scale steel moment frame

C Sepulveda, M Cheng, T Becker… - Earthquake …, 2024 - Wiley Online Library
This study presents the implementation of an online model updating algorithm within a full‐
scale hybrid simulation (HS) of a six story, four bay steel moment frame. The experimental …

Time‐varying reliability analysis based on hybrid Kalman filtering and probability density evolution

E Ghorbani, SS Afshari, D Svecova… - Earthquake …, 2024 - Wiley Online Library
The study introduces a novel approach for time‐varying reliability analysis of structures
called “hybrid UKF‐PDEM” by integrating the unscented Kalman filter (UKF) and the …

Joint Bayesian estimation of process and measurement noise statistics in nonlinear Kalman filtering

N Bilgin, A Olivier - Mechanical Systems and Signal Processing, 2025 - Elsevier
Bayesian filtering aims at sequentially estimating the states and parameters in nonlinear
dynamical systems, and finds applications in a variety of engineering fields. Extended and …

Mutual information-based feature selection for inverse mapping parameter updating of dynamical systems

BM Kessels, RHB Fey, N van de Wouw - Multibody System Dynamics, 2024 - Springer
A digital twin should be and remain an accurate model representation of a physical system
throughout its operational life. To this end, we aim to update (physically interpretable) …

Online numerical simulation method based on adaptive unscented Kalman filter for shear wall structures

Y Jiang, G Xu - Engineering Structures, 2024 - Elsevier
Hybrid test method is an effective approach to evaluate the seismic performance of
engineering structures. Particularly, online numerical simulation method (ONSM) based on …

An EGO-based online model updating method for hybrid simulation

W Zhong, Z Chen, C Chen, C Liu, M Li, J Wang - Engineering Structures, 2024 - Elsevier
Hybrid simulation combines experimentally testing of physical substructures with
computational simulation of numerical substructures to replicate structural responses under …