ISSN 2096-4498
CN 44-1745/U
ISSN 2096-4498
CN 44-1745/U
Prediction Model of Tunnel Boring Machine′s Tunneling Parameters Based on Multimodal Control Strategy
(1.China Railway Engineering Equipment Group Co., Ltd., Zhengzhou 450016, Henan, China;2.Xinjiang Irtysh River Investment and Development Co., Ltd., Urumqi 830000, Xinjiang,China)
Online published: 2023-05-23
Presently, the tunneling control of tunnel boring machine(TBM) mainly depends on artificial experience without any type of scientific control strategy. The control characteristics of the manequipmentrock closedloop system are examined. In addition, the control rules and treatment of conventional and adverse strata are summarized and the control intention of the main TBM operator and parameter control method under various strata are described. According to the differences of control strategies in various surrounding rock grades, a multimodal control strategy and a prediction method of tunneling parameters based on the surrounding rock classification of TBM are put forward. The proposed methods are applied to the TBM 3 section of the Songhua river water conveyance project in Jilin, China. The research results show that the accuracy of the prediction model of TBM tunneling parameters based on a multimodal control strategy is more than 88% and the prediction accuracies of cutterhead and tunneling speeds are 94% and 88%, respectively, thus meeting the engineering requirements.
ZHENG Yongguang
,
ZHANG Na
,
LIU Yangyang
,
SUN Chunhuan
,
JING Liujie
,
LI Pengyu
.
Prediction Model of Tunnel Boring Machine′s
Tunneling Parameters Based on Multimodal Control Strategy
/
| 〈 |
|
〉 |