| 研究実績の概要 |
Structural identification by sparse representation model was developed and implemented using real data from full-scale seismic monitoring of three bridges. In the Tokachi Bridge sparse time-invariant,time-variant recursive subspace identification and sparse regularization methods were developed to confirm influence of moveable SFP bearings on bridge responses. In Katsuta Viaduct,techniques for detecting bearing malfunction from bridge seismic response were developed using wavelet transform time-varying identification and statistical sparse clustering technique.In Shin-Nakagawa Bridge an-FE model was developed and damages related to isolation bearing were simulated. The results were compared with monitoring from 63 seismic events in 45 months (2017-2020) using the CWT-DWT and sparse model analysis.
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