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作 者:Xiang Shen Dajun Yuan Xing-Tao Lin Xiangsheng Chen Yuansheng Peng
机构地区:[1]College of Civil and Transportation Engineering,Shenzhen University,Shenzhen,518060,China [2]Key Laboratory for Resilient Infrastructures of Coastal Cities of Ministry of Education,Shenzhen University,Shenzhen,518060,China [3]Shenzhen Key Laboratory of Green,Efficient and Intelligent Construction of Underground Metro Station,Shenzhen,518060,China [4]Key Laboratory of Urban Underground Engineering of Ministry of Education,Beijing Jiaotong University,Beijing,100044,China
出 处:《Journal of Rock Mechanics and Geotechnical Engineering》2023年第6期1491-1505,共15页岩石力学与岩土工程学报(英文版)
基 金:support by the National Natural Science Foundation of China(Grant Nos.52108377,52090084,and 51938008).
摘 要:This research explores the potential for the evaluation and prediction of earth pressure balance shield performance based on a gray system model.The research focuses on a shield tunnel excavated for Metro Line 2 in Dalian,China.Due to the large error between the initial geological exploration data and real strata,the project construction is extremely difficult.In view of the current situation regarding the project,a quantitative method for evaluating the tunneling efficiency was proposed using cutterhead rotation(R),advance speed(S),total thrust(F)and torque(T).A total of 80 datasets with three input parameters and one output variable(F or T)were collected from this project,and a prediction framework based gray system model was established.Based on the prediction model,five prediction schemes were set up.Through error analysis,the optimal prediction scheme was obtained from the five schemes.The parametric investigation performed indicates that the relationships between F and the three input variables in the gray system model harmonize with the theoretical explanation.The case shows that the shield tunneling performance and efficiency are improved by the tunneling parameter prediction model based on the gray system model.
关 键 词:Evaluation of earth pressure balance shield PERFORMANCE Gray system model Metro construction Rock strata Field data prediction
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