| 研究課題/領域番号 |
18K04320
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| 研究機関 | 横浜国立大学 |
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研究代表者 |
シリンゴリンゴ ディオン 横浜国立大学, 先端科学高等研究院, 特任教員(准教授) (60649507)
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| 研究期間 (年度) |
2018-04-01 – 2022-03-31
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| キーワード | system identification / seismic records / sparse representation / wavelet decomposition / bearing malfunction |
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| 研究実績の概要 |
Implementation of structural identification by sparse representation was carried out using real data from fullscale seismic monitoring of Katsuta viaduct and ShinNakagawa cable-stayed bridge.FE model was also developed in Abaqus for ShinNakagawa bridge for comparison with monitoring results. The monitoring data consist of 63 seismic events in 45 months (2017-2020)using wireless sensor networks. The full-scale implementation is continuation of the previous year's results where model was studied only in FEM of fictitious multi-span bridge. The objective of implementation is to investigate the capability of detecting seismic isolation malfunction using monitoring data by CWT-DWT and Sparse model analysis and compared the results with simulation using finite element model.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
3: やや遅れている
理由
There was some delay in the process due to the inability to properly collect and analyze the measurement data. The pandemic and enforcement of state of emergency have impacted the progress of data gathering and research work to some extent.
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| 今後の研究の推進方策 |
In the third and final year, the research will focus on completion of the following tasks:
(1)Completion of finite element model for the benchmark Shin-Nakagawa bridge and implement several scenarios of structural damage caused by earthquake and generate data for comparison with the recorded seismic monitoring data.
(2)Implement more cases of feature extraction and unsupervised learning novelty detection in the finite element simulation.
(3)Implement the sparse representation directly to monitoring data to extract essential parameters related to the condition of seismic isolation bearing with respect to type and scale/level of earthquake excitation.
(4)Dissemination of research results and paper writing.
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| 次年度使用額が生じた理由 |
1.Continuation of use of software and hardware for computation.
2.Attending conferences and workshop for dissemination of research.
3.Site visit and gathering data related to research
Reasons: Continuation of use of software for computation because of the license and postponed planned research. Some activities such as conference, workshop, site visit etc were suspended or canceled last year due to pandemic covid19. The conferences that we plan to attend are rescheduled for this year. The same reason also applies to site visits.
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