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...
阅读全文 PDF 引用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.
阅读全文 PDF 引用Development of an optimization model for a monitoring point in tunnel stress deduction using a machine learning algorithm
Xuyan Tan, Weizhong Chen, Luyu Wang, Wei Ye
发布时间：2024-03-07
关键词：Development of an optimization model for a monitoring point in tunnel stress deduction using machine learning algorithm
摘要：HighlightsScientific guidance for monitoring scheme optimization is provided.The stress distribution of the overall section is characterized using limited numbers of monitoring points.Interdisciplinary application of machine learning helps in solving practical engineering problems.1 INTRODUCTIONAssessments of stress patterns in tunnel engineering are invaluable, as they directly impact the safe...
阅读全文 PDF 引用Application of integrated geophysical techniques in geothermal exploration in Binhai County, Jiangsu Province
Juncheng Wang, Shiyin Gao, Jianguo Wang, Lin Li, Xiaoyan Gong, Jinbao Su
发布时间：2024-03-07
关键词：controlled source audio frequency magnetotelluric method (CSAMT), geothermal exploration,integrated geophysical technology, micromotion detection technology
摘要： geothermal geological model was established for the BinhaiCounty of Jiangsu Province in China and potential geothermal well locationswere identified. On this basis, a geothermal well was drilled nearly 3000 mdeep, with a daily water volume of over 2000 m3/day and a geothermal watertemperature of 51°C at the well head. It is found that predictions using the aboveintegrated geophysical exploration technology are in good agreement with thewell geological formation data. This integrated geophysical technology can beeffectively applied for geothermal exploration with high precision and reliability
阅读全文 PDF 引用Experimental study on the influence of content and fineness of fly ash on the mechanical properties of grouting slurries
Hua Jiang, Handong Zhang, Xiaoyan Zhang, Jinxun Zhang, Yusheng Jiang
发布时间：2024-02-28
关键词：Experimental study on the influence of content and fineness fly ash mechanical properties grouting slurries
摘要：Abstract Excavation gaps around the front shield can be generated during shield construction, resulting in significant ground settlement. Traditional synchronous grouting slurries are unsuitable for filling these gaps during tunneling under existing subway lines. To address this issue, experiments are conducted on mix characteristics and hardening properties of slurries with variations in fineness and contents of fly ash.
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