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An information-entropy-inspired optimal layout method for structural stress sensors of supersized open caissons

文献类型：期刊论文

作者Dong, Xuechao1,2; Guo, Mingwei1,2; Wang, Shuilin1,2; Li, Chunguang1,2; Yang, Yongtao1,2
刊名OCEAN ENGINEERING
出版日期2023-10-15
卷号286页码:17
关键词Open caisson Optimal sensor layout Information entropy Sinking state prediction Machine learning Changtai Yangtze River Bridge Project
ISSN号0029-8018
DOI10.1016/j.oceaneng.2023.115545
英文摘要The layout of sensors directly influences the effectiveness of structural stress monitoring of open caissons during the sinking process. In this study, an optimal layout method for structural stress sensors is proposed inspired by information entropy. The information gains of different sinking states from different layout locations of structural stress sensors are calculated, and the important layout locations are identified through the calculation of information gains. According to these important layout locations, the optimal sensor layout scheme is obtained. The proposed method was validated via an engineering case study of the Changtai Yangtze River Bridge Project. The results show that the proposed method successfully determined the optimal sensor layout scheme and that the number of required structural stress sensors decreases by 51.5% compared with the number of structural stress sensors deployed in the engineering case. With all R2 values greater than 0.96, the optimal scheme has high prediction accuracy for three sinking states: sinking speed, transverse height difference and longitudinal height difference. In addition, the spatial distribution of the important layout locations was identified. This study is meaningful for obtaining high-quality monitoring data of structural stress to both ensure the steady sinking of open caissons and reduce monitoring costs.
资助项目National Natural Science Foundation of China[51674239]
WOS研究方向Engineering ; Oceanography
语种英语
WOS记录号WOS:001065497900001
出版者PERGAMON-ELSEVIER SCIENCE LTD
源URL[http://119.78.100.198/handle/2S6PX9GI/39456]  
专题中科院武汉岩土力学所
通讯作者Guo, Mingwei
作者单位1.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Dong, Xuechao,Guo, Mingwei,Wang, Shuilin,et al. An information-entropy-inspired optimal layout method for structural stress sensors of supersized open caissons[J]. OCEAN ENGINEERING,2023,286:17.
APA Dong, Xuechao,Guo, Mingwei,Wang, Shuilin,Li, Chunguang,&Yang, Yongtao.(2023).An information-entropy-inspired optimal layout method for structural stress sensors of supersized open caissons.OCEAN ENGINEERING,286,17.
MLA Dong, Xuechao,et al."An information-entropy-inspired optimal layout method for structural stress sensors of supersized open caissons".OCEAN ENGINEERING 286(2023):17.

入库方式： OAI收割

来源：武汉岩土力学研究所

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