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
Vibration serviceability of footbridges: Evaluation of the current codes of practice
TL;DR: In this paper, the authors evaluate the methodology of the recent European guideline HiVoSS and the French guideline Setra, which are widely applied in practice, for a selection of eight slender footbridges, and recommend a modified load model that leads to a more robust vibration serviceability assessment.
Journal ArticleDOI
A non‐contact vision‐based system for multipoint displacement monitoring in a cable‐stayed footbridge
TL;DR: The analysis results indicate that the system provides valuable information about bridge deformation of the order of a few cm induced, in this application, by pedestrian passing, and could be used to investigate variations of modal frequencies under varying pedestrian loads.
Journal ArticleDOI
Reference based stochastic subspace identification in civil engineering
Bart Peeters,G. De Roeck +1 more
TL;DR: In this article, a stochastic subspace identification approach is presented that incorporates the idea of the reference sensors already in the identification step, and validated with an extensive Monte-Carlo simulation study and two real-life examples.
Journal ArticleDOI
Output-Only Subspace-Based Structural Identification: From Theory to Industrial Testing Practice
Michèle Basseville,Albert Benveniste,Maurice Goursat,Luc Hermans,Laurent Mevel,Herman Van der Auweraer +5 more
TL;DR: In this paper, the problem of structural model identification during normal operating conditions and thus with uncontrolled, unmeasured, and nonstationary excitation is addressed, and the use of output-only and covariance-driven subspace-based stochastic identification methods is advocated.
Journal ArticleDOI
Post-earthquake continuous dynamic monitoring of the Gabbia Tower in Mantua, Italy
TL;DR: In this article, the results of the continuous dynamic monitoring for a period of 8 months, highlighting the effect of temperature on automatically identified natural frequencies, the practical feasibility of damage detection methods based on natural frequencies shifts and the key role of permanent dynamic monitoring in the diagnosis of the investigated historic building.
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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