期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到12篇文章
< 1 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
A dual attention-based deep learning model for lithology identificationwhile drilling 认领 引用 被引量：3
1
作者 Jie Chen Zhen Gui +6 位作者 Yichao Rui Xusheng Zhao Xiaokang Pan Qingfeng Wang Yuanyuan Pu Zheng Li Maoyi Liu 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第2期1177-1192,共16页
Lithology identificationwhile drilling technology can obtain rock information in real-time.However,traditional lithology identificationmodels often face limitations in feature extraction and adaptability to complex ge... Lithology identificationwhile drilling technology can obtain rock information in real-time.However,traditional lithology identificationmodels often face limitations in feature extraction and adaptability to complex geological conditions,limiting their accuracy in challenging environments.To address these challenges,a deep learning model for lithology identificationwhile drilling is proposed.The proposed model introduces a dual attention mechanism in the long short-term memory(LSTM)network,effectively enhancing the ability to capture spatial and channel dimension information.Subsequently,the crayfishoptimization algorithm(COA)is applied to optimize the model network structure,thereby enhancing its lithology identificationcapability.Laboratory test results demonstrate that the proposed model achieves 97.15%accuracy on the testing set,significantlyoutperforming the traditional support vector machine(SVM)method(81.77%).Field tests under actual drilling conditions demonstrate an average accuracy of 91.96%for the proposed model,representing a 14.31%improvement over the LSTM model alone.The proposed model demonstrates robust adaptability and generalization ability across diverse operational scenarios.This research offers reliable technical support for lithology identification while drilling. 展开更多
关键词 Lithology identificationwhile drilling Deep learning Dual attention mechanism Metaheuristic algorithm Field applications
暂未订购 下载PDF
Prediction of mixed-modeⅠ/Ⅱfracture toughness of rock-concrete bi-material disc with interface crack:Interpretable NRBO-XGBoost-SHAP model and experimental validation 认领 引用
2
作者 Tengfei Guo Congxiang Yuan +3 位作者 Xu Chang Zhijun Zhang Guicheng He Yichao Rui 《International Journal of Mining Science and Technology》 SCIE EI CAS CSCD 2026年第7期1453-1473,共21页
Accurately determining the effective fracture toughness(Keff)of rock-concrete(R-C)bi-materials,governed by interface inclination and ambient temperature,is a prerequisite for assessing their structural stability.Th... Accurately determining the effective fracture toughness(Keff)of rock-concrete(R-C)bi-materials,governed by interface inclination and ambient temperature,is a prerequisite for assessing their structural stability.This study developed a hybrid NRBO-XGBoost prediction model using the Newton-RaphsonBased Optimizer(NRBO)to tune the hyperparameters of Extreme Gradient Boosting(XGBoost)model.The established model was developed based on 154 datasets obtained from laboratory tests and numerical simulations with the cracked straight-through Brazilian disc(CSTBD)specimens,including twelve input parameters.The NRBO-XGBoost model for Keffprediction was investigated and compared with seven more models.Furthermore,the Shapley Additive exPlanations(SHAP)method was employed to quantify the contributions of inputs to Keffto improve the interpretability of the developed model.Finally,new data were used to validate the model.Evaluation results demonstrate that metaheuristic optimization algorithms significantly enhance the performance of XGBoost,with NRBO-XGBoost performing the best.The models rank from highest to lowest prediction performance as follows:NRBO-XGBoost,WOA-XGBoost,PSO-XGBoost,XGBoost,RF,CatBoost,LightGBM,and AdaBoost.The interpretable analysis shows that the interface inclination angle exerts the dominant influence.The validation results demonstrate that NRBO-XGBoost achieves high predictive accuracy on a new dataset,showing promising implications for practical applications. 展开更多
关键词 Effective fracture toughness R-C bi-material Extreme Gradient Boosting Newton-Raphson-Based Optimizer SHAP
暂未订购 下载PDF
The role of fracture in dynamic tensile responses of fractured rock mass: Insight from a particle-based model 认领 引用 被引量：4
3
作者 Changtai Zhou Yichao Rui +4 位作者 Jiadong Qiu Zhihe Wang Tao Zhou Xiting Long Ke Shan 《International Journal of Coal Science & Technology》 SCIE EI CAS CSCD 2025年第3期137-155,共19页
The fractured rock mass inherently exhibits uncertainty due to the presence of pre-existing discontinuities.In this study,a particle-based model incorporating the discrete fracture network(DFN)to elucidate the dynamic... The fractured rock mass inherently exhibits uncertainty due to the presence of pre-existing discontinuities.In this study,a particle-based model incorporating the discrete fracture network(DFN)to elucidate the dynamic tensile responses and asso-ciated uncertainty of rock mass.At first,the particle-based model was used synthesize the intact rock and split Hopkinson pressure bar(SHPB)system,while the fractures were represented using the smooth fracture model(SJM).Subsequently,the samples of the fractured rock mass with varying joint geometrical configurations were conducted the dynamic tensile test using the numerical SHPB system.The simulated results demonstrate a gradual decrease in dynamic tensile strength(TS)with increasing fracture intensity and fracture length,which can be effectively described by nonlinear exponential func-tions.Additionally,the fracture orientation significantly influences the dynamic TS,however,the anisotropic characteristics gradually diminish as the deviation angle approaches 90°.Furthermore,as fracture intensity and fracture length increase,the dynamic TS variability also rises steadily.However,no noticeable pattern is seen when considering cases with varying fracture orientations.When subjected to SHPB loading,the fractured rock mass primarily exhibits a combined tensile-shear failure mode,contrasting with the pure tensile failure mode exhibited by the intact rock.These findings contribute signifi-cantly to comprehending the dynamic tensile responses of the fractured rock mass and can further enhance the stability analysis of in-situ rock engineering. 展开更多
关键词 Dynamic tensile strength Strength variability Hybrid BPM-DFN Fractured rock mass
暂未订购 下载PDF
Research on a dynamic early warning model for gas outbursts using adaptive fractal dimension characterization 认领 引用 被引量：1
4
作者 Jie Chen Wenhao Shi +9 位作者 Yichao Rui Junsheng Du Xiaokang Pan Xiang Peng Xusheng Zhao Qingfeng Wang Deping Guo Yulin Zou Dafa Yin Yuanbin Luo 《International Journal of Mining Science and Technology》 SCIE EI CAS CSCD 2025年第8期1245-1257,共13页
To address the issues of single warning indicators,fixed thresholds,and insufficient adaptability in coal and gas outburst early warning models,this study proposes a dynamic early warning model for gas outbursts based... To address the issues of single warning indicators,fixed thresholds,and insufficient adaptability in coal and gas outburst early warning models,this study proposes a dynamic early warning model for gas outbursts based on adaptive fractal dimension characterization.By analyzing the nonlinear characteristics of gas concentration data,an adaptive window fractal analysis method is introduced.Combined with boxcounting dimension and variation of box dimension metrics,a cross-scale dynamic warning model for disaster prevention is established.The implementation involves three key phases:First,wavelet denoising and interpolation methods are employed for raw data preprocessing,followed by validation of fractal characteristics.Second,an adaptive window cross-scale fractal dimension method is proposed to calculate the box-counting dimension of gas concentration,enabling effective capture of multi-scale complex features.Finally,dynamic threshold partitioning is achieved through membership functions and the 3σprinciple,establishing a graded classification standard for the mine gas disaster(MGD)index.Validated through engineering applications at Shoushan#1 Coal Mine in Henan Province,the results demonstrate that the adaptive window fractal dimension curve exhibits significantly enhanced fluctuation characteristics compared to fixed window methods,with local feature detection capability improved and warning accuracy reaching 86.9%.The research reveals that this model effectively resolves the limitations of traditional methods in capturing local features and dependency on subjective thresholds through multiindicator fusion and threshold optimization,providing both theoretical foundation and practical tool for coal mine gas outburst early warning. 展开更多
关键词 Gas outburst Fractal characteristics Adaptive fractal method Dynamic warning model
暂未订购 下载PDF
Locating acoustic emission sources in pseudo-triaxial experiments with the shortest path and orthogonal constraint 认领 引用
5
作者 Yichao Rui Yuanyuan Pu +5 位作者 Jie Chen Cunjin Zhu Sheng Zhang Jiongkun Chen Zelin Zhou Wenzhong Wang 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2025年第9期5453-5464,共12页
Acoustic waves in the pseudo-triaxial experiment system experience refraction phenomena.The conventional assumption that acoustic waves propagate along a straight line in traditional methods can lead to significant er... Acoustic waves in the pseudo-triaxial experiment system experience refraction phenomena.The conventional assumption that acoustic waves propagate along a straight line in traditional methods can lead to significant errors in localization results.To the end,this paper presents a method for locating acoustic emission(AE)sources in pseudo-triaxial experiments using shortest paths and orthogonal constraints.The approach consists of three main steps:(1)establishing control equations for refraction paths from AE sources to sensor locations;(2)calculating refraction point locations using the shortest travel principle and orthogonal constraints;(3)determining source coordinates using Taylor's first-order expansion.The results from laboratory AE experiments demonstrate that the average localization accuracy of the new method is only 6.5 mm,which is 66%more precise than the accuracy(19.4 mm)of the traditional method.Furthermore,simulation results indicate that the new method is not affected by the refraction ratio of the media and maintains the highest positioning accuracy across various arrival and velocity errors. 展开更多
关键词 Acoustic emission(AE) Source localization Pseudo-triaxial experiment Shortest path Orthogonal constraint
暂未订购 下载PDF
Enhancing microseismic/acoustic emission source localization accuracy with an outlier-robust kernel density estimation approach 认领 引用 被引量：8
6
作者 Jie Chen Huiqiong Huang +4 位作者 Yichao Rui Yuanyuan Pu Sheng Zhang Zheng Li Wenzhong Wang 《International Journal of Mining Science and Technology》 SCIE EI CAS CSCD 2024年第7期943-956,共14页
Monitoring sensors in complex engineering environments often record abnormal data,leading to significant positioning errors.To reduce the influence of abnormal arrival times,we introduce an innovative,outlier-robust l... Monitoring sensors in complex engineering environments often record abnormal data,leading to significant positioning errors.To reduce the influence of abnormal arrival times,we introduce an innovative,outlier-robust localization method that integrates kernel density estimation(KDE)with damping linear correction to enhance the precision of microseismic/acoustic emission(MS/AE)source positioning.Our approach systematically addresses abnormal arrival times through a three-step process:initial location by 4-arrival combinations,elimination of outliers based on three-dimensional KDE,and refinement using a linear correction with an adaptive damping factor.We validate our method through lead-breaking experiments,demonstrating over a 23%improvement in positioning accuracy with a maximum error of 9.12 mm(relative error of 15.80%)—outperforming 4 existing methods.Simulations under various system errors,outlier scales,and ratios substantiate our method’s superior performance.Field blasting experiments also confirm the practical applicability,with an average positioning error of 11.71 m(relative error of 7.59%),compared to 23.56,66.09,16.95,and 28.52 m for other methods.This research is significant as it enhances the robustness of MS/AE source localization when confronted with data anomalies.It also provides a practical solution for real-world engineering and safety monitoring applications. 展开更多
关键词 Microseismic source/acoustic emission(MS/AE) Kernel density estimation(KDE) Damping linear correction Source location Abnormal arrivals
暂未订购 下载PDF
Responses of soil nematode community to monoculture or mixed culture of a grass and a legume forage species in China 认领 引用 被引量：5
7
作者 Yingying YE Yichao RUI +3 位作者 Zhaoxia ZENG Xunyang HE Kelin WANG Jie ZHAO 《Pedosphere》 SCIE CAS CSCD 2020年第6期791-800,共10页
Mixed cultivation of fast-growing grasses and nitrogen(N)-fixing legumes for forage production is widely considered effective for obtaining sustained high forage yields without depleting soil N levels.However,the effe... Mixed cultivation of fast-growing grasses and nitrogen(N)-fixing legumes for forage production is widely considered effective for obtaining sustained high forage yields without depleting soil N levels.However,the effects of monoculture and mixed culture of these species on soil food webs are poorly understood.In this study,soil nematode communities were examined as indicators of the soil food web structure of monoculture and mixed culture of grass and legume at three N levels,i.e.,338(low),450(moderate),and 675(high)kg N ha-1 year-1,across 2 years in wet and dry seasons,using the grass Paspalum wetsfeteini and the legume Medicago sativa(alfalfa),both commonly cultivated worldwide.Repeated-measures analysis of covariance showed that compared with grass monoculture,legume monoculture and grass-legume mixture increased abundances of herbivorous,bacterivorous,and fungivorous nematodes in the soil food web under the low and moderate N fertilization levels.Principal response curve results showed that the abundance of Helicotylenchus,a plant parasite,was significantly higher under legume monoculture than other planting systems at the low N fertilization level.Structural equation model analysis indicated that the legume increased bacterivore abundance,while increasing N fertilization decreased omnivore abundance.The legume might increase the quantity and quality of food resources for soil biota,resulting in the bottom-up control of soil nematode communities.Our results indicate that targeted control of a soilborne pathogen,Helicotylenchus,is required in alfalfa-based planting systems.In addition,high inorganic N application,which is detrimental to legume-rhizobia symbiosis,nullified the otherwise positive effects of legumes on soil nematodes. 展开更多
关键词 bacterivore bottom-up control fertilization fungivore herbivore nitrogen soil food web soilborne pathogen
暂未订购 下载PDF
A novel robust AE/MS source location method using optimized M-estimate consensus sample 认领 引用 被引量：6
8
作者 Yichao Rui Zilong Zhou +2 位作者 Xin Cai Riyan Lan Congcong Zhao 《International Journal of Mining Science and Technology》 SCIE EI CAS CSCD 2022年第4期779-791,共13页
Due to the complexity of the real engineering environment, the arrival measurement inevitably contains outliers and leads to serious location errors. In order to eliminate the influence of the outliers effectively,thi... Due to the complexity of the real engineering environment, the arrival measurement inevitably contains outliers and leads to serious location errors. In order to eliminate the influence of the outliers effectively,this paper proposes a novel robust AE/MS source localization method using optimized M-estimate consensus sample. First, a sample subset is selected from the entire arrival set to obtain fitting model and its parameters. Second, consensus set is determined by checking the arrivals with the fitting model instantiated by the estimated model parameters. Third, optimization process is performed to further optimize the consensus set. The above steps are iterated, and the final source coordinates are obtained by using all the elements in the optimal consensus set. The novel method is validated by a pencil-lead breaks experiment. The results indicate that the novel method has better location accuracy of less than 5 mm compared to existing methods, regardless of the presence or absence of outliers. With the increase of outlier scale and outlier ratio, the location result of the proposed method is always more stable and accurate than that of the existing methods. Mine blasting experiments further demonstrate that the new method holds good prospects for engineering applications. 展开更多
关键词 Microseismic source Acoustic emission Source localization Outliers Consensus sample
暂未订购 下载PDF
A novel AE source localization method using clustering detection to eliminate abnormal arrivals 认领 引用 被引量：7
9
作者 Yichao Rui Zilong Zhou +2 位作者 Jianyou Lu Barkat Ullah Xin Cai 《International Journal of Mining Science and Technology》 SCIE EI CAS CSCD 2022年第1期51-62,共12页
Due to the significant effect of abnormal arrivals on localization accuracy,a novel acoustic emission(AE)source localization method using clustering detection to eliminate abnormal arrivals is proposed in the paper.Fi... Due to the significant effect of abnormal arrivals on localization accuracy,a novel acoustic emission(AE)source localization method using clustering detection to eliminate abnormal arrivals is proposed in the paper.Firstly,iterative weight estimation is utilized to obtain accurate equation residuals.Secondly,according to the distribution of equation residuals,clustering detection is used to identify and exclude abnormal arrivals.Thirdly,the AE source coordinate is recalculated with remaining normal arrivals.Experimental results of pencil-lead breaks indicate that the proposed method can achieve a better localization result with and without abnormal arrivals.The results of simulation tests further demonstrate that the proposed method possesses higher localization accuracy and robustness under different anomaly ratios and scales;even with abnormal arrivals as high as 30%,the proposed localization method still holds a correct detection rate of 91.85%. 展开更多
关键词 Acoustic emission Source localization Abnormal arrivals Clustering detection
暂未订购 下载PDF
A robust triaxial localization method of AE source using refraction path 认领 引用 被引量：3
10
作者 Yichao Rui Jie Chen +4 位作者 Jiongkun Chen Jiadong Qiu Zilong Zhou Wenzhong Wang Jinyang Fan 《International Journal of Mining Science and Technology》 SCIE EI CAS CSCD 2024年第4期521-530,共10页
Acoustic emission(AE)localization algorithms based on homogeneous media or single-velocity are less accurate when applied to the triaxial localization experiments.To the end,a robust triaxial localization method of AE... Acoustic emission(AE)localization algorithms based on homogeneous media or single-velocity are less accurate when applied to the triaxial localization experiments.To the end,a robust triaxial localization method of AE source using refraction path is proposed.Firstly,the control equation of the refraction path is established according to the sensor coordinates and arrival times.Secondly,considering the influence of time-difference-of-arrival(TDOA)errors,the residual of the governing equation is calculated to estimate the equation weight.Thirdly,the refraction points in different directions are solved using Snell’s law and orthogonal constraints.Finally,the source coordinates are iteratively solved by weighted correction terms.The feasibility and accuracy of the proposed method are verified by pencil-lead breaking experiments.The simulation results show that the new method is almost unaffected by the refraction ratio,and always holds more stable and accurate positioning performance than the traditional method under different ratios and scales of TDOA outliers. 展开更多
关键词 Acoustic emission(AE) Source localization Robust method Refraction paths Weight estimations
暂未订购 下载PDF
Optimizing microseismic sensor networks in underground space using Cramér–Rao Lower Bound and improved genetic encoding 认领 引用 被引量：1
11
作者 Yichao Rui Jie Chen +3 位作者 Junsheng Du Xiang Peng Zelin Zhou Chun Zhu 《Underground Space》 SCIE EI CSCD 2025年第4期307-326,共20页
The layout of a sensor network is a critical determinant of the precision and reliability of microseismic source localization.Addressing the impact of sensor network configuration on positioning accuracy,this paper in... The layout of a sensor network is a critical determinant of the precision and reliability of microseismic source localization.Addressing the impact of sensor network configuration on positioning accuracy,this paper introduces an innovative approach to sensor network optimization in underground space.It utilizes the Cramér-Rao Lower Bound principle to formulate an optimization function for the sensor network layout,followed by the deployment of an enhanced genetic encoding to solve this function and determine the optimal layout.The efficacy of proposed method is rigorously tested through simulation experiments and pencil-lead break experiments,substantiating its superiority.Its practical utility is further demonstrated through its application in a mining process within underground spaces,where the optimized sensor network solved by the proposed method achieves remarkable localization accuracy of 15 m with an accuracy rate of 4.22%in on-site blasting experiments.Moreover,the study elucidates general principles for sensor network layout that can inform the strategic placement of sensors in standard monitoring systems. 展开更多
关键词 Underground space Sensor network optimization Microseismic monitoring Cramer-Rao Lower Bound Improved genetic encoding
A systematic review of Coda Wave Interferometry technique for evaluating rock behavior properties:From single to multiple perturbations 认领 引用
12
作者 Jie Chen Chao Zhu +3 位作者 Yuanyuan Pu Yichao Rui Bo Liu Derek B.Apel 《Earth Energy Science》 2025年第2期180-192,共13页
Understanding rock behavior is crucial in mine geotechnical engineering to ensure construction efficiency,mitigate rock-related hazards,and promote environmental sustainability.Coda Wave Interferometry(CWI),a non-dest... Understanding rock behavior is crucial in mine geotechnical engineering to ensure construction efficiency,mitigate rock-related hazards,and promote environmental sustainability.Coda Wave Interferometry(CWI),a non-destructive ultrasonic testing method,has been widely employed to assess micro-damage evolution in rocks induced by perturbations in scatterer position,velocity,or source location due to its exceptional sensitivity.However,challenges persist in evaluating cross-scale rock behavior influenced by nonlinear deformation and multi-field interactions under multiple coupled perturbations.A comprehensive review of the perturbation factors affecting rock damage evolution and potential failure mechanisms is essential for presenting available knowledge in a more systematic and structured manner.This review provides an in-depth analysis of the CWI technique,encompassing its origins,theoretical framework,and classical data processing methodologies.Additionally,it explores the diverse applications of CWI in assessing rock behavior under various perturbation factors,including temperature variations,fluid infiltration,and stress conditions,with a particular emphasis on nonlinear deformation and multi-field coupling effects.Furthermore,a novel method for calculating relative velocity changes in coda waves is introduced,enabling a more precise characterization of the entire rock failure process.The study also proposes a cutting-edge concept of ultra-early and refined monitoring and warning technology for mine rock disasters,leveraging the advancements in CWI.Finally,the review highlights the potential future developments of CWI in high-level intelligent mining scenarios,particularly its integration with ambient noise interferometry and microseismic coda wave analysis.This work serves as a valuable reference,contributing to the refinement of CWI applications for assessing complex rock behavior and enhancing the accuracy of rock disaster prediction and early warning systems. 展开更多
关键词 Non-destructive monitoring Coda wave interferometry technique Nonlinear deformation Multi-field coupling Rock disasters warning
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈