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Prediction of rock mass classification in tunnel boring machine tunneling using the principal component analysis (PCA)–gated recurrent unit (GRU) neural network

Ke Man, Liwen Wu, Xiaoli Liu, Zhifei Song, Kena Li, Nawnit Kumar

发布时间:2024-04-12

关键词:Prediction of rock mass classification in tunnel boring machine tunneling using the principal component analysis PCAgated recurrent unit GRU neural network

摘要:AbstractDue to the complexity of underground engineering geology, the tunnel boring machine (TBM) usually shows poor adaptability to the surrounding rock mass, leading to machine jamming and geological hazards. For the TBM project of Lanzhou Water Source Construction, this study proposed a neural network called PCA–GRU, which combines principal component analysis (PCA) with gated recurrent uni...

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Evolution law of pulsating seepage and thermal deformation by injecting high-temperature steam into coal for thermal coalbed methane recovery

Zhiqiang Li, Junliang Li, Jinsheng Chen, Ali Karrech, Ningchao Zhang, Ju Chang, Kaiqi Jin, Yangyang

发布时间:2024-04-12

关键词:Evolution law of pulsating seepage and thermal deformation by injecting hightemperature steam into coal for coalbed methane recovery

摘要:AbstractChinese coal reservoirs are characterized by low pressure and low permeability, which need to be enhanced so as to increase production. However, conventional methods for permeability enhancement can only increase the permeability in fractures, but not the ultra-low permeability in coal matrices. Attempts to enhance such impermeable structures lead to rapid attenuation of gas production,...

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ALSTNet: Autoencoder fused long- and short-term time-series network for the prediction of tunnel structure

Bowen Du, Haohan Liang, Yuhang Wang, Junchen Ye, Xuyan Tan, Weizhong Chen

发布时间:2024-04-12

关键词:ALSTNet Autoencoder fused long and shortterm timeseries network for the prediction of tunnel structure

摘要:AbstractIt is crucial to predict future mechanical behaviors for the prevention of structural disasters. Especially for underground construction, the structural mechanical behaviors are affected by multiple internal and external factors due to the complex conditions. Given that the existing models fail to take into account all the factors and accurate prediction of the multiple time series simu...

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Grouped machine learning methods for predicting rock mass parameters in a tunnel boring machine-driven tunnel based on fuzzy C-means clustering

Ruirui Wang, Yaodong Ni, Lingli Zhang, Boyang Gao

发布时间:2024-03-19

关键词:fuzzy C‐means clustering, machine learning, rock mass parameter, tunnel boring machine

摘要:HighlightsThe traditional rock mass parameter predicting method based on machine learning and tunnel boring machine driving data is improved by fuzzy C-means clustering.Using fuzzy C-means clustering, samples are divided into multiple clusters and multiple targeted submodels are trained. The prediction results weighted by the multiple submodels are more accurate than those obtained by the tradi...

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Experimental study on the physical and mechanical properties of carbonatite rocks under high confining pressure after thermal treatment

高温后碳酸盐岩在高围压作用下的物理力学特性试验研究

杨文东, Bingqi Wang, Jun Yao, Pathegama G. Ranjith, Xiang Zhang

发布时间:2024-03-15

关键词:carbonatite, high confining pressure, high temperature, oil and gas reservoirs, ultra‐deep rocks

摘要:The results show that the critical confining pressure of the brittle–ductile transition increases with increasing temperature. Young's modulus is negatively correlated with the temperature and positively correlated with the confining pressure. As the confining pressure increases, the failure mode of the specimens gradually transforms from shear fracture failure into “V”-type failure and finally into bulging failure (multiple shear fractures). With increasing temperature, the failure angle tends to decrease. In addition, an improved version of the Mohr‒Coulomb strength criterion with a temperature-dependent power function was proposed to describe the failure strength of carbonatite rocks after exposure to high temperature and high confining pressure.

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