System identification and damage detection in civil engineering

By B. Peeters. 2000

544 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/568eec0dd7927d5b2d5cf49c2a1cb9d5e80254a5

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Citations in the corpus

Operational modal analysis for estimating the dynamic properties of a stadium structure during a football game (2007, methodology): “In this section, a method has been used which is able to autonomously interpret stabilisation diagrams based on a set of heuristic rules [12,40].”
Dynamic parameters of structures extracted from ambient vibration measurements : An aid for the seismic vulnerability assessment of existing buildings in moderate seismic hazard regions (2007, methodology): “an occupancy). Hence, it is impossible to determine the input load. The techniques used to determine the modal parameters of the considered system are called Output-Only or Operational Modal Analysis [10]. Many different techniques exist, the most widely used and easiest one being the Peak Picking m”
An improved finite element model updating method by the global optimization technique 'Coupled Local Minimizers' (2008, methodology): “Peeters [34] has proposed a method for detecting damage in the presence of varying environmental parameters such as temperature.”
Fast multi-order computation of system matrices in subspace-based system identification ☆ (2012, methodology): “This is considered in Cho and Kailath (1995); Mastronardi et al. (2001a) for subspace methods using a LQ decomposition of a data Hankel matrix during preprocessing, and in (Peeters, 2000, Sec.”
Vibration-Based Damage Monitoring in Model Plate-Girder Bridges under Uncertain Temperature Conditions (2007, background): “Two key issues exist and must be solved before the vibrationbased damage monitoring system can be implemented into real structures [4,5,7,12,18–20].”
A framework for quantifying the value of vibration-based structural health monitoring (2022, background): “These include the fact that damage-sensitive features can be very sensitive to changes in environmental and operational conditions (EOCs) [6, 7].”
Explaining operational modal analysis with data from an arch bridge (2011, methodology): “Nowadays, the available time domain methods for operational modal analysis, extensively explored in [11], are essentially based on two types of models: discrete-time stochastic state-space models and auto-regressive moving average (ARMA) or just auto-regressive (AR) models.”
Effects of environmental and operational variability on structural health monitoring (2007, methodology): “Damage diagnosis using ARX model, which models the relation between the measured fundamental frequency and temperature (Peeters 2000).”
Some remarks on experimental estimation of damping for seismic design of civil constructions (2010, methodology): “Stochastic Subspace Identification methods work in time domain and are based on a state space description of the dynamic problem [28,29].”
Improvement of Frequency Domain Output Only Modal Identification from the Application of the Random Decrement Technique (2004, methodology): “Although there have been some works devoted to spectral estimation [6] and frequency response function estimation [15] using the RD technique, most of its developments [5] have been made in association with time domain modal identification methods, like the Ibrahim time domain method (ITD) [3] or th”
Stochastic System Identification for Operational Modal Analysis: A Review (2001, methodology): “This is demonstrated in [11][7].”