Title :
On-line modal parameter monitoring of bridges exploiting multi-core capacity by recursive stochastic subspace identification method
Author :
Lin, Ping ; Zhang, Nanxiong ; Ni, Bin
Author_Institution :
DSP Group, Nat. Instrum. Shanghai Branch, Shanghai
Abstract :
On-line modal parameter monitoring of structures like bridges has compelling practical significance. This paper describes an example of applying recursive stochastic subspace identification methods to the monitoring of bridge modal parameters. The usual recursive stochastic subspace identification algorithm tailored to modal analysis is first presented in details. Then the algorithm is adapted to exploit the power of the multi- core capacity of today´s computers so as to improve the speed and effectiveness of the original algorithm. The results of the experiments based on the real data of Donghai Bridge have confirmed the above positive effects of the modified recursive stochastic subspace identification algorithm.
Keywords :
bridges (structures); condition monitoring; stochastic processes; bridge modal parameters; modal analysis; multicore capacity; on-line modal parameter monitoring; recursive stochastic subspace identification method; Accidents; Bridges; Buildings; Computerized monitoring; Condition monitoring; Covariance matrix; Linear systems; Modal analysis; Multicore processing; Stochastic processes;
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2008.4586563