Show simple item record

contributor authorLuca Rosafalco
contributor authorSaeed Eftekhar Azam
contributor authorStefano Mariani
contributor authorAlberto Corigliano
date accessioned2024-04-27T22:48:52Z
date available2024-04-27T22:48:52Z
date issued2024/03/01
identifier other10.1061-AJRUA6.RUENG-1085.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4297566
description abstractIdentifying the mechanical properties of civil structures is required for life-cycle assessment. Kalman filters are exploited for this goal, enabling the online update of a numerical model, acting as the digital twin of the structure, and quantifying the uncertainty of the estimated properties. As uncertainty about model formulation is usually disregarded in the identification, model class evidence has been recently formulated to compare different parametrizations of the properties of the monitored structure through a metric, allowing selection of the most plausible one. When dealing with parameter estimation, predominantly model evidence is deployed in batch Bayesian estimation. Here, the formulation of model class evidence is proposed for the unscented Kalman filter, which allows online calculation of model class evidence for a system without the need to compute the mapping gradient in time. This formulation was inspired by the model class evidence developed for the extended Kalman filter. Numerical results related to shear buildings are presented to validate the metric, showing the impact of under- and over-parametrizations on identification.
publisherASCE
titleSystem Identification via Unscented Kalman Filtering and Model Class Selection
typeJournal Article
journal volume10
journal issue1
journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
identifier doi10.1061/AJRUA6.RUENG-1085
journal fristpage04023063-1
journal lastpage04023063-14
page14
treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 001
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record