Accurate acquisition of the lithological composition of a tunnel face is crucial for efficient tunneling and hazard prevention in large-diameter slurry shield tunnels.While widely applied,current data-driven methods o...Accurate acquisition of the lithological composition of a tunnel face is crucial for efficient tunneling and hazard prevention in large-diameter slurry shield tunnels.While widely applied,current data-driven methods often face challenges such as indirect prediction,data sparsity,and data drift,which limit their accuracy and generalizability.This study develops an integrated method that combines a knowledge-driven method to directly compute distribution patterns of lithological components,which are used as a priori knowledge to guide the development of a data-driven method.Coupled Markov chain(CMC)and deep neural networks(DNNs)serve as the knowledge-driven and data-driven components,respectively.Additionally,a dynamic prediction strategy is proposed,where the model is continuously optimized as construction progresses and training samples accumulate,rather than being statically trained on post-construction data,as is common in data-driven methods.Finally,the proposed method is evaluated using a real-world project.The evaluation results show that the integrated method outperforms both individual data-and knowledge-driven methods,demonstrating higher predictive performance,greater stability,and greater robustness to data scarcity and data drift.Furthermore,the dynamic prediction strategy better captures the effects of gradual data accumulation and lithological spatial variability on prediction performance during construction,providing new insights for real-time prediction in practical tunneling applications.展开更多
Large-diameter drilling method is a prevalent method for preventing and controlling rock burst,and the spacing between the large-diameter drilling hole and anchoring hole is a critical factor influencing the roadway s...Large-diameter drilling method is a prevalent method for preventing and controlling rock burst,and the spacing between the large-diameter drilling hole and anchoring hole is a critical factor influencing the roadway stability and relief effectiveness.In this study,a mechanical model for optimal matching between the large-diameter drilling hole and anchoring hole was established following the principle of synergistic control.The influence of large-diameter drilling hole diameter on the optimal spacing under the synergistic relief effect was investigated by integrating theoretical analysis,numerical simulation,and field practice.The results suggest that the hole spacing achieved a synergistic effect in a certain range when the optimal hole spacing increased linearly with the hole diameter.For instance,when the anchoring hole diameter was 20 mm,an increase in the aperture ratio from 5 to 10 brought about an increase in the optimal spacing from 0.25 m to 0.45 m.Additionally,the vertical stress between the large-diameter drilling hole and anchor hole increased nonlinearly under the condition of constant pore ratio but varying hole spacing.Both excessively small and excessively large hole spacings were detrimental to the pressure relief effect.In the engineering practice,optimizing the hole spacing from 0.55 m to 0.45 m in the 1208 working face contributed to reducing coal body drilling cuttings and the roadway moving quantity by 33%and 19.2%,respectively.This demonstrates that the pressure relief-support reinforcement synergistic effect should be fully considered in optimization design.展开更多
为提升预应力钢筒混凝土管断丝辨识精度,研究首先利用分布式光纤声学感知技术采集断丝信号,并使用连续小波变换算法提取信号时频特征图谱。随后,设计了一种结合分布式光纤声学感知技术和改进You Only Look Once version 5(YOLOv5)的预...为提升预应力钢筒混凝土管断丝辨识精度,研究首先利用分布式光纤声学感知技术采集断丝信号,并使用连续小波变换算法提取信号时频特征图谱。随后,设计了一种结合分布式光纤声学感知技术和改进You Only Look Once version 5(YOLOv5)的预应力钢筒混凝土管断丝智能辨识方法。将提出的智能辨识方法进行性能分析,实验结果表明,该方法的平均精度和准确率分别为97.39%和98.02%,均优于对比方法。研究结果表明,提出的预应力钢筒混凝土管断丝辨识方法具有良好的性能,能为相关水利工程运维和管理提供理论基础。展开更多
Tube thinning control without wrinkling occurring is a key problem urgently to be solved for improving the forming qualities in numerical control （NC） bending processes of large-diameter Al-alloy thin-walled tubes ...Tube thinning control without wrinkling occurring is a key problem urgently to be solved for improving the forming qualities in numerical control （NC） bending processes of large-diameter Al-alloy thin-walled tubes （AATTs）. It may be a way solving this problem to exert axial compression loads （ACL） on the tube end in the bending. Thus, this article establishes a three-dimensional （3D） elastic-plastic explicit finite element （FE） model for the bending under ACL and has its reliability verified. Through a multi-index orthogonal experiment design, a combination of process parameters, each expressed by a proper range, for this FE model is derived to overcome the compression instability on tube ends. By combining the FE model with a wrinkling energy prediction model, an in-depth study is conducted on the forming characteristics of large-diameter AATTs with small bending radii and it can be concluded that （1） The larger the tube diameters and the smaller the bending radii, the larger the induced tangent tension stress zones on tube intrados, by which the tube maximum tangent compression stress zones will be partitioned in the bending processes; thus, the smaller the ACL roles in decreasing thinning degrees and the larger the compression instability possibilities on tube ends. （2） The tube wrinkling possibilities under ACL are larger than without ACL acting in the earlier forming periods, and smaller in the later ones. （3） For the tubes with a size factor less than 80, the ACL roles in decreasing thinning degrees are stronger than in increasing wrinkling possibilities.展开更多
基金supported by the Beijing Natural Science Foundation(Grant No.8252012)the National Natural Science Foundation of China(Grant No.52378475).
文摘Accurate acquisition of the lithological composition of a tunnel face is crucial for efficient tunneling and hazard prevention in large-diameter slurry shield tunnels.While widely applied,current data-driven methods often face challenges such as indirect prediction,data sparsity,and data drift,which limit their accuracy and generalizability.This study develops an integrated method that combines a knowledge-driven method to directly compute distribution patterns of lithological components,which are used as a priori knowledge to guide the development of a data-driven method.Coupled Markov chain(CMC)and deep neural networks(DNNs)serve as the knowledge-driven and data-driven components,respectively.Additionally,a dynamic prediction strategy is proposed,where the model is continuously optimized as construction progresses and training samples accumulate,rather than being statically trained on post-construction data,as is common in data-driven methods.Finally,the proposed method is evaluated using a real-world project.The evaluation results show that the integrated method outperforms both individual data-and knowledge-driven methods,demonstrating higher predictive performance,greater stability,and greater robustness to data scarcity and data drift.Furthermore,the dynamic prediction strategy better captures the effects of gradual data accumulation and lithological spatial variability on prediction performance during construction,providing new insights for real-time prediction in practical tunneling applications.
基金Project(52274086)supported by the National Natural Science Foundation of ChinaProject(2024KJH069)supported by the Shandong Provincial Youth Innovation and Technology Support Program,ChinaProject(tstp20221126)supported by the Project of Taishan Scholar in Shandong Province,China。
文摘Large-diameter drilling method is a prevalent method for preventing and controlling rock burst,and the spacing between the large-diameter drilling hole and anchoring hole is a critical factor influencing the roadway stability and relief effectiveness.In this study,a mechanical model for optimal matching between the large-diameter drilling hole and anchoring hole was established following the principle of synergistic control.The influence of large-diameter drilling hole diameter on the optimal spacing under the synergistic relief effect was investigated by integrating theoretical analysis,numerical simulation,and field practice.The results suggest that the hole spacing achieved a synergistic effect in a certain range when the optimal hole spacing increased linearly with the hole diameter.For instance,when the anchoring hole diameter was 20 mm,an increase in the aperture ratio from 5 to 10 brought about an increase in the optimal spacing from 0.25 m to 0.45 m.Additionally,the vertical stress between the large-diameter drilling hole and anchor hole increased nonlinearly under the condition of constant pore ratio but varying hole spacing.Both excessively small and excessively large hole spacings were detrimental to the pressure relief effect.In the engineering practice,optimizing the hole spacing from 0.55 m to 0.45 m in the 1208 working face contributed to reducing coal body drilling cuttings and the roadway moving quantity by 33%and 19.2%,respectively.This demonstrates that the pressure relief-support reinforcement synergistic effect should be fully considered in optimization design.
文摘为提升预应力钢筒混凝土管断丝辨识精度,研究首先利用分布式光纤声学感知技术采集断丝信号,并使用连续小波变换算法提取信号时频特征图谱。随后,设计了一种结合分布式光纤声学感知技术和改进You Only Look Once version 5(YOLOv5)的预应力钢筒混凝土管断丝智能辨识方法。将提出的智能辨识方法进行性能分析,实验结果表明,该方法的平均精度和准确率分别为97.39%和98.02%,均优于对比方法。研究结果表明,提出的预应力钢筒混凝土管断丝辨识方法具有良好的性能,能为相关水利工程运维和管理提供理论基础。
基金National Natural Science Foundation of China (59975076, 50175092)National Science Fund of China for Distinguished Young Scholars (50225518)
文摘Tube thinning control without wrinkling occurring is a key problem urgently to be solved for improving the forming qualities in numerical control （NC） bending processes of large-diameter Al-alloy thin-walled tubes （AATTs）. It may be a way solving this problem to exert axial compression loads （ACL） on the tube end in the bending. Thus, this article establishes a three-dimensional （3D） elastic-plastic explicit finite element （FE） model for the bending under ACL and has its reliability verified. Through a multi-index orthogonal experiment design, a combination of process parameters, each expressed by a proper range, for this FE model is derived to overcome the compression instability on tube ends. By combining the FE model with a wrinkling energy prediction model, an in-depth study is conducted on the forming characteristics of large-diameter AATTs with small bending radii and it can be concluded that （1） The larger the tube diameters and the smaller the bending radii, the larger the induced tangent tension stress zones on tube intrados, by which the tube maximum tangent compression stress zones will be partitioned in the bending processes; thus, the smaller the ACL roles in decreasing thinning degrees and the larger the compression instability possibilities on tube ends. （2） The tube wrinkling possibilities under ACL are larger than without ACL acting in the earlier forming periods, and smaller in the later ones. （3） For the tubes with a size factor less than 80, the ACL roles in decreasing thinning degrees are stronger than in increasing wrinkling possibilities.
