DISPLACEMENT RESPONSE WAVEFORM RESTORATION OF SIMPLY SUPPORT BRIDGE DURING TRAIN PASSAGE BASED ON MEASUREMENT ACCELERATION INTEGRATION
Author:
Affiliation:
1. 公益財団法人鉄道総合技術研究所 鉄道力学研究部
2. 東海旅客鉄道株式会社 総合技術本部 技術開発部
Publisher
Japan Society of Civil Engineers
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jscejseee/78/1/78_47/_pdf
Reference22 articles.
1. 1) Sun, L., Shang, Z., Xia, Y., Bhowmick, S. and Nagarajaiah, S. : Review of bridge structural health monitoring aided by big data and artificial intelligence: from condition assessment to damage detection, Journal of Structural Engineering, ASCE, Vol. 146 (5), pp. 04020073-1-22, 2020.
2. 2) Jin, Q., Liu, Z., Bin, J. and Ren, W. : Predictive analytics of in-service bridge structural performance from SHM data mining perspective: a case study, Shock and Vibration, Vol. 2019, Article ID 6847053, 2019.
3. 3) 国土交通省監修・鉄道総合技術研究所編:鉄道構造物等設計標準・同解説(コンクリート構造物),丸善,2004.
4. 4) 国土交通省監修,鉄道総合技術研究所編:鉄道構造物等設計標準・同解説(変位制限),丸善,2006.
5. 5) 国土交通省監修,鉄道総合技術研究所編:鉄道構造物等設計標準・同解説(耐震設計),丸善,2012.
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