Uncertainty quantification for stochastic subspace identification on multi-setup measurements

2011 ◽  
Author(s):  
Michael Dohler ◽  
Xuan-Binh Lam ◽  
Laurent Mevel
Keyword(s):  
Uncertainty Quantification ◽  
Subspace Identification ◽  
Stochastic Subspace Identification

Application of short-time stochastic subspace identification to estimate bridge frequencies from a traversing vehicle

2021 ◽  
Vol 230 ◽  
pp. 111688
Author(s):  
Nan Jin ◽  
Y.B. Yang ◽  
Elias G. Dimitrakopoulos ◽  
Themelina S. Paraskeva ◽  
Lambros S. Katafygiotis
Keyword(s):  
Subspace Identification ◽  
Stochastic Subspace Identification ◽  
Short Time

A Dynamic Identification of a Historical Building Using Accelerometers with Interface Modules and a Digital Synchronization Method

2014 ◽  
Vol 628 ◽  
pp. 204-211 ◽  
Author(s):  
Luigi Spedicato ◽  
Iro Armeni ◽  
Nicola Ivan Giannoccaro ◽  
Markos Avlonitis ◽  
Sozon Papavlasopoulos
Keyword(s):  
Experimental Data ◽  
Modal Analysis ◽  
Monitoring System ◽  
Low Cost ◽  
Subspace Identification ◽  
Dynamic Identification ◽  
Historical Building ◽  
Stochastic Subspace Identification ◽  
Innovative Method ◽  
Interface Modules

This paper describes a study about the San Giacomo building for testing the dynamic identification applicability of a low-cost monitoring system, consisting of accelerometers and acquisition modules. The Stochastic Subspace Identification (SSI), a well-known technique of Operational Modal Analysis (OMA), is applied to the experimental data to evaluate the possibility of identifying the first frequencies of the building. Moreover, in order to solve the lack of synchronization of the monitoring system, an innovative method based on the phase delay of each signal is presented and used for digitally synchronizing the data.

scholarly journals The Tunnel Structural Mode Frequency Characteristics Identification and Analysis Based on a Modified Stochastic Subspace Identification Method

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Biao Zhou ◽  
Xiongyao Xie ◽  
Xiaojian Wang
Keyword(s):  
Online Monitoring ◽  
Rapid Development ◽  
Health Assessment ◽  
Field Tests ◽  
Mode Frequency ◽  
Subspace Identification ◽  
Monitoring Methods ◽  
Underground Engineering ◽  
Stochastic Subspace Identification ◽  
Identification Method

With the rapid development of underground engineering in China, the heavy structural maintenance work followed is expected to be a great challenge in the future. The development also provides a promising application prospect for the newly developed vibration-based health assessment and monitoring methods. However, the fact that tunnels are embedded in soil makes collecting and identifying the vibration characteristics more difficult, especially for the online monitoring. In this paper, a new identification method that combines the natural excitation technique (NExT) and stochastic subspace identification (SSI) method is developed. The new method is compared with the traditional SSI method, and mode frequency analysis is made based on a series of field tests carried out at the subway and power tunnel. It is found that both stability and efficiency of the mode frequency identification have been greatly improved, and it more suitable for online monitoring. Meanwhile, a mathematical model is used to analyze the original mode characteristics and the influence of soil coupling. The results are also compared with the field tests results by using the NExT-SSI method, and some recommendations are also made for how to choose the vibration modals for vibration-based monitoring in the tunnel.

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