Analysis of rock cuttability based on excavation parameters of TBM

被引:4
作者
Tang, Yu [1 ]
Yang, Junsheng [1 ]
Wang, Shanyong [2 ]
Wang, Shaofeng [3 ]
机构
[1] Cent South Univ, Sch Civil Engn, Changsha 410075, Hunan, Peoples R China
[2] Univ Newcastle, Sch Engn Surveying & Environm Engn, Discipline Civil, Callaghan, NSW 2308, Australia
[3] Cent South Univ, Sch Resources & Safety Engn, Changsha 410083, Hunan, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Rock cuttability; Excavation parameters; Regression analysis; UCS prediction model; Rock cuttability classification model; Intelligence algorithms; CUTTING TESTS; PERFORMANCE; TUNNEL; CUTTER;
D O I
10.1007/s40948-023-00628-x
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Rock cuttability has great influence on the rock excavation efficiency of TBM (tunnel boring machine). In order to evaluate rock cuttability in real time, quickly, accurately and efficiently during TBM excavating, the relevant excavation parameters of Zagros, Kerman and Bazideraz tunnels were first collected. Then, the regression analyses between excavation parameters and rock cuttability were carried out. The two-dimensional regression analyses studied the relationship between operating parameters (thrust F and rotation speed RPM) and the characterization parameters (torque T and penetration rate PR). The three-dimensional regression analyses were utilized to create the PR and specific energy SE models based on operating parameters. The result shows that the established three-dimensional regression models have good prediction performance, and its performance is superior to two-dimensional models. Moreover, the prediction model of uniaxial compressive strength UCS and the classification model of rock cuttability were founded based on SE. The rock cuttability is divided into three levels, namely, easy (level 1), medium (level 2), and poor (level 3), in which the corresponding SE ranges are 0 to 6, 6 to 10 and exceeds 10 kWh & BULL;m(-3), respectively. Finally, the intelligent algorithms, combined with excavation parameters, were introduced to establish UCS prediction model and rock cuttability classification model, and the good prediction performance was achieved. The above studies can provide necessary references and ideas for real-time, rapid, accurate and effective evaluation of rock cuttability based on TBM excavation parameters, and has certain guiding significance for engineering application.
引用
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页数:19
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