Journal ArticleDOI
Reference-based stochastic subspace identification for output-only modal analysis
Bart Peeters,Guido De Roeck +1 more
TLDR
In this paper, a novel approach of stochastic subspace identification is presented that incorporates the idea of the reference sensors already in the identification step: the row space of future outputs is projected into the rowspace of past reference outputs.About:
This article is published in Mechanical Systems and Signal Processing.The article was published on 1999-11-01. It has received 1236 citations till now. The article focuses on the topics: Operational Modal Analysis & Subspace topology.read more
Citations
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Journal ArticleDOI
Model Updating to Forecast the Dynamic Behavior of the Ghirlandina Tower in Modena, Italy
TL;DR: In this paper, a multidisciplinary approach to properly model the behavior of the structure and its interaction with the supporting soil is presented, focusing on the model-updating techniques to forecast its behavior under seismic events.
Journal ArticleDOI
Earthquake-induced structural response output-only identification by two different Operational Modal Analysis techniques
Fabio Pioldi,Egidio Rizzi +1 more
TL;DR: In this article, two different Operational Modal Analysis (OMA) techniques, namely, a refined Frequency Domain Decomposition (rFDD) algorithm and an improved Data-Driven Stochastic Subspace Identification (SSI-DATA) procedure, are adopted as input channels for two different OMA techniques.
Journal ArticleDOI
Indirect assessment of concrete resistance from FE model updating and Young’s modulus estimation of a multi-span PSC viaduct: Experimental tests and validation
Angelo Aloisio,Dag Pasquale Pasca,Luca Di Battista,Marco M. Rosso,Raffaele Cucuzza,Giuseppe Carlo Marano,Rocco Alaggio +6 more
TL;DR: In this paper , a multi-span prestressed concrete bridge in Corvara (Italy) is estimated based on Young's modulus assessed from FE model updating using ambient vibration data.
Journal ArticleDOI
Kalman filter-based subspace identification for operational modal analysis under unmeasured periodic excitation
TL;DR: In the proposed approach, the periodic information is estimated from the data with a non-steady state Kalman filter, and then removed from the original output signal by an orthogonal projection, and it is shown that the modes of the structural system are consistently estimated.
Journal ArticleDOI
Dynamic Analysis of Multispan Viaducts with Weak Coupling between Adjacent Spans
TL;DR: In this article, the Sesia viaduct is considered, which is a composite railway bridge consisting of seven isostatic spans, and two models are investigated: a single-span model with adjusted boundary conditions and a component mode synthesis (CMS) reduced-order model comprising all seven spans.
References
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Book
System Identification: Theory for the User
TL;DR: Das Buch behandelt die Systemidentifizierung in dem theoretischen Bereich, der direkte Auswirkungen auf Verstaendnis and praktische Anwendung der verschiedenen Verfahren zur IdentifIZierung hat.
Book
Modal Testing: Theory and Practice
TL;DR: A survey of the technology of modal testing, a new method for describing the vibration properties of a structure by constructing mathematical models based on test data rather than using conventional theoretical analysis.
Book
Subspace Identification for Linear Systems: Theory - Implementation - Applications
Peter Van Overschee,Bart De Moor +1 more
TL;DR: This book focuses on the theory, implementation and applications of subspace identification algorithms for linear time-invariant finitedimensional dynamical systems, which allow for a fast, straightforward and accurate determination of linear multivariable models from measured inputoutput data.
Book
Applied system identification
TL;DR: In this paper, the authors introduce the concept of Frequency Domain System ID (FDSI) and Frequency Response Functions (FRF) for time-domain models, as well as Frequency-Domain Models with Random Variables and Kalman Filter.
Effective construction of linear state-variable models from input/output functions.
B. L. Ho,R. E. Kalman +1 more
TL;DR: Markov parametric algorithm for effective construction of minimal realizations of linear state-variable finite-dimensional dynamical systems from input-output data is presented in this article, where a Markov-parametric algorithm is used to construct the minimal realization.
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Subspace Identification for Linear Systems: Theory - Implementation - Applications
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