Selective online model updating in hybrid simulation of a full-scale steel moment frame
Journal
Earthquake Engineering and Structural Dynamics
Journal Volume
53
Journal Issue
10
Start Page
3071
End Page
3092
ISSN
00988847
Date Issued
2024-08
Author(s)
Sepulveda, Claudio
Cheng, Mao
Becker, Tracy
Mosqueda, Gilberto
Wang, Kung-Juin
Huang, Po-Chia
Huang, Cheng-Wei
Uang, Chia-Ming
DOI
10.1002/eqe.4149
Abstract
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 substructure consists of a cruciform subassembly generating critical data on the nonlinear behavior of the first story column and two beams with reduced beam sections (RBSs) on each side. The updating algorithm focuses on the modeling parameters of plastic hinge elements representing the RBSs in the numerical model. A smooth plasticity model is utilized for beam plastic hinges with updating parameters identified from on-line experimental data through a modified version of the unscented Kalman filter. The HS shows that the numerical beam hinges based on simple hysteretic model with updated parameters are able to capture the characteristic behavior observed in experiments. Due to fracture of beam flanges is observed in the experiments, a selective updating concept is proposed to allow for updating multiple numerical components accounting for asymmetric behavior and variability in the response. The selective updating method is validated through virtual HSs that are better able to identify and isolate the effects of fracture and other behavioral characteristics. The combination of results from physical and virtual tests highlights the benefits of model updating on the local and overall system-level response.
Subjects
hybrid simulation
online model updating
reduced beam section
steel moment frame
unscented Kalman filter
SDGs
Publisher
John Wiley and Sons Ltd
Type
journal article