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GBDT-based multivariate structural stress data analysis for predicting the sinking speed of an open caisson foundation

文献类型：期刊论文

作者Dong, Xuechao1,2; Guo, Mingwei1,2; Wang, Shuilin1,2
刊名GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
出版日期2023-11-18
页码13
关键词Open caisson foundation sinking speed prediction GBDT machine learning Changtai Yangtze River Bridge Project
ISSN号1749-9518
DOI10.1080/17499518.2023.2283847
英文摘要Open caisson foundations are often used in large-span bridge construction because of their advantageous, and an open caisson foundation gradually sinks to a predetermined position via earth excavation. Excessive sinking speed may result in various construction risks (e.g. inclination and structural damage of the open caisson). To prevent these risks, it is important to analyse the sinking situation of the foundation and predict the sinking speed during the sinking process. A sinking speed prediction model is proposed based on the gradient boosting decision tree (GBDT) algorithm, and the model can extract the data features of the structural stress monitoring data to predict the sinking speed of open caissons. Taking the supersized open caisson foundation in the Changtai Yangtze River Bridge Project as a case study, the proposed model was validated by using the monitoring data of this foundation. The validation results of this project indicate that the proposed model has high prediction accuracy, short time consumption, a good prediction effect and high practicability. Based on the model's prediction, an earth excavation scheme can be flexibly adjusted to prevent the potential construction risks of open caissons caused by excessive sinking speed.
资助项目National Natural Science Foundation of China[51674239]
WOS研究方向Engineering ; Geology
语种英语
WOS记录号WOS:001105838100001
出版者TAYLOR & FRANCIS LTD
源URL[http://119.78.100.198/handle/2S6PX9GI/39907]  
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, Peoples R China
2.Univ Chinese Acad Sci, Inst Rock & Soil Mech, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Dong, Xuechao,Guo, Mingwei,Wang, Shuilin. GBDT-based multivariate structural stress data analysis for predicting the sinking speed of an open caisson foundation[J]. GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS,2023:13.
APA Dong, Xuechao,Guo, Mingwei,&Wang, Shuilin.(2023).GBDT-based multivariate structural stress data analysis for predicting the sinking speed of an open caisson foundation.GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS,13.
MLA Dong, Xuechao,et al."GBDT-based multivariate structural stress data analysis for predicting the sinking speed of an open caisson foundation".GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS (2023):13.

入库方式： OAI收割

来源：武汉岩土力学研究所

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