首页期刊导航|岩石力学与岩土工程学报（英文版）
期刊信息/Journal information
岩石力学与岩土工程学报（英文版）
岩石力学与岩土工程学报（英文版）

钱七虎

季刊

1674-7755

rockgeotech@whrsm.ac.cn

027-87198182

430071

湖北省武汉市武昌区水果湖街小洪山2号

岩石力学与岩土工程学报（英文版）/Journal Journal of Rock Mechanics and Geotechnical EngineeringCSCDCSTPCD北大核心SCI
查看更多>>反映世界范围内，特别是中国岩石力学与工程的新成就、新理论、新方法、新经验、新动向，促进国内外学术交流，特别欢迎国家重大项目、国家自然科学基金项目及其他重要项目的研究成果，倡导和鼓励有实践经验的作者撰稿，并优先刊用这些稿件，本刊也发表少数侧重于工程应用的土力学方面的文章。为尽快交流最新的学术信息，本刊还发表短文和讨论文章、近期博士学位论文摘要、会议简讯、新书简介与相关的学术动态等；提倡撰写简短的讨论文章，活跃期刊学术氛围。
正式出版
收录年代

    Using deep neural networks coupled with principal component analysis for ore production forecasting at open-pit mines

    Chengkai FanNa ZhangBei JiangWei Victor Liu...
    727-740页
    查看更多>>摘要：Ore production is usually affected by multiple influencing inputs at open-pit mines.Nevertheless,the complex nonlinear relationships between these inputs and ore production remain unclear.This becomes even more challenging when training data(e.g.truck haulage information and weather conditions)are massive.In machine learning(ML)algorithms,deep neural network(DNN)is a superior method for processing nonlinear and massive data by adjusting the amount of neurons and hidden layers.This study adopted DNN to forecast ore production using truck haulage information and weather conditions at open-pit mines as training data.Before the prediction models were built,principal component analysis(PCA)was employed to reduce the data dimensionality and eliminate the multicollinearity among highly correlated input variables.To verify the superiority of DNN,three ANNs containing only one hidden layer and six traditional ML models were established as benchmark models.The DNN model with multiple hidden layers performed better than the ANN models with a single hidden layer.The DNN model out-performed the extensively applied benchmark models in predicting ore production.This can provide engineers and researchers with an accurate method to forecast ore production,which helps make sound budgetary decisions and mine planning at open-pit mines.
      原文链接:
    • 万方数据
    • 维普

    Sliding behaviors of the trapezoidal roof rock block under a lateral dynamic disturbance

    Feng DaiWancheng ZhuMin RenShunchuan Wu...
    741-760页
    查看更多>>摘要：The surrounding rock of underground space is always affected by external dynamic disturbance from the side position,such as blasting vibration from a stope at the same level or seismic waves from adjacent strata.A series of laboratory tests,numerical simulations and theoretical analyses were carried out in this study to disclose the sliding mechanism of roof rock blocks under lateral disturbance.Firstly,the ex-periments on trapezoidal key block under various clamping loads and disturbance were conducted,followed by numerical simulations using the fast Lagrangian analysis of continua(FLAC3D).Then,based on the conventional wave propagation model and the classical shear-slip constitutive model,a theo-retical model was proposed to capture the relative displacement between blocks and the sliding displacement of the key block.The results indicate that the sliding displacement of the key block increased linearly with the disturbance energy and decreased exponentially with the clamping load when the key block was disturbed to slide(without instability).Meanwhile,when the key block was disturbed to fall,two types of instability process may appear as immediate type or delayed type.In addition,the propagation of stress waves in the block system exhibited obvious low-velocity and low-frequency characteristics,resulting in the friction reduction effect appearing at the contact interface,which is the essential reason for the sliding of rock blocks.The results can be applied to practical un-derground engineering and provide valuable guidance for the early detection and prevention of rock-falling disasters.
      原文链接:
    • 万方数据
    • 维普

    Real-time arrival picking of rock microfracture signals based on convolutional-recurrent neural network and its engineering application

    Bing-Rui ChenXu WangXinhao ZhuQing Wang...
    761-777页
    查看更多>>摘要：Accurately picking P-and S-wave arrivals of microseismic(MS)signals in real-time directly influences the early warning of rock mass failure.A common contradiction between accuracy and computation exists in the current arrival picking methods.Thus,a real-time arrival picking method of MS signals is constructed based on a convolutional-recurrent neural network(CRNN).This method fully utilizes the advantages of convolutional layers and gated recurrent units(GRU)in extracting short-and long-term features,in order to create a precise and lightweight arrival picking structure.Then,the synthetic sig-nals with field noises are used to evaluate the hyperparameters of the CRNN model and obtain an optimal CRNN model.The actual operation on various devices indicates that compared with the U-Net method,the CRNN method achieves faster arrival picking with less performance consumption.An application of large underground caverns in the Yebatan hydropower station(YBT)project shows that compared with the short-term average/long-term average(STA/LTA),Akaike information criterion(AIC)and U-Net methods,the CRNN method has the highest accuracy within four sampling points,which is 87.44％for P-wave and 91.29％for S-wave,respectively.The sum of mean absolute errors(MAEsuM)of the CRNN method is 4.22 sampling points,which is lower than that of the other methods.Among the four methods,the MS sources location calculated based on the CRNN method shows the best consistency with the actual failure,which occurs at the junction of the shaft and the second gallery.Thus,the proposed method can pick up P-and S-arrival accurately and rapidly,providing a reference for rock failure analysis and evaluation in engineering applications.
      原文链接:
    • 万方数据
    • 维普

    Failure characterization of fully grouted rock bolts under triaxial testing

    Hadi NourizadehAli MirzaghorbanaliMehdi SeratiElamin Mutaz...
    778-789页
    查看更多>>摘要：Confining stresses serve as a pivotal determinant in shaping the behavior of grouted rock bolts.None-theless,prior investigations have oversimplified the three-dimensional stress state,primarily assuming hydrostatic stress conditions.Under these conditions,it is assumed that the intermediate principal stress(σ2)equals the minimum principal stress(σ3).This assumption overlooks the potential variations in magnitudes of in situ stress conditions along all three directions near an underground opening where a rock bolt is installed.In this study,a series of push tests was meticulously conducted under triaxial conditions.These tests involved applying non-uniform confining stresses(σ2 ≠ σ3)to cubic specimens,aiming to unveil the previously overlooked influence of intermediate principal stresses on the strength properties of rock bolts.The results show that as the confining stresses increase from zero to higher levels,the pre-failure behavior changes from linear to nonlinear forms,resulting in an increase in initial stiffness from 2.08 kN/mm to 32.51 kN/mm.The load-displacement curves further illuminate distinct post-failure behavior at elevated levels of confining stresses,characterized by enhanced stiffness.Notably,the peak load capacity ranged from 27.9 kN to 46.5 kN as confining stresses advanced fromσ2=σ3=0 to σ2=20 MPa and σ3=10 MPa.Additionally,the outcomes highlight an influence of confining stress on the lateral deformation of samples.Lower levels of confinement prompt overall dilation in lateral deformation,while higher confinements maintain a state of shrinkage.Furthermore,diverse failure modes have been identified,intricately tied to the arrangement of confining stresses.Lower confinements tend to induce a splitting mode of failure,whereas higher loads bring about a shift towards a pure interfacial shear-off and shear-crushed failure mechanism.
      原文链接:
    • 万方数据
    • 维普

    Nonlinear constitutive models of rock structural plane and their applications

    Wenlin FengShuangjian NiuChunsheng QiaoDujian Zou...
    790-806页
    查看更多>>摘要：Structural planes play an important role in controlling the stability of rock engineering,and the influence of structural planes should be considered in the design and construction process of rock engineering.In this paper,mechanical properties,constitutive theory,and numerical application of structural plane are studied by a combination method of laboratory tests,theoretical derivation,and program development.The test results reveal the change laws of various mechanical parameters under different roughness and normal stress.At the pre-peak stage,a non-stationary model of shear stiffness is established,and three-dimensional empirical prediction models for initial shear stiffness and residual stage roughness are proposed.The nonlinear constitutive models are established based on elasto-plastic mechanics,and the algorithms of the models are developed based on the return mapping algorithm.According to a large number of statistical analysis results,empirical prediction models are proposed for model parameters expressed by structural plane characteristic parameters.Finally,the discrete element method(DEM)is chosen to embed the constitutive models for practical application.The running programs of the constitutive models have been compiled into the discrete element model library.The comparison results between the proposed model and the Mohr-Coulomb slip model show that the proposed model can better describe nonlinear changes at different stages,and the predicted shear strength,peak strain and shear stiffness are closer to the test results.The research results of the paper are conducive to the ac-curate evaluation of structural plane in rock engineering.
      原文链接:
    • 万方数据
    • 维普

    Mechanical behaviors of backfill-rock composites:Physical shear test and back-analysis

    Jie XinQuan JiangFengqiang GongLang Liu...
    807-827页
    查看更多>>摘要：The shear behavior of backfill-rock composites is crucial for mine safety and the management of surface subsidence.For exposing the shear failure mechanism of backfill-rock composites,we conducted shear tests on backfill-rock composites under three constant normal loads,compared with the unfilled rock.To investigate the macro-and meso-failure characteristics of the samples in the shear tests,the cracking behavior of samples was recorded by a high-speed camera and acoustic emission monitoring.In parallel with the experimental test,the numerical models of backfill-rock composites and unfilled rock were established using the discrete element method to analyze the continuous-discontinuous shearing pro-cess.Based on the damage mechanics and statistics,a novel shear constitutive model was proposed to describe mechanical behavior.The results show that backfill-rock composites had a special bimodal phenomenon of shearing load-deformation curve,i.e.the first shearing peak corresponded to rock break and the second shearing peak induced by the broken of aeolian sand-cement/fly ash paste backfill.Moreover,the shearing characteristic curves of the backfill-rock composites could be roughly divided into four stages,i.e.the shear failure of the specimens experienced:stage Ⅰ:stress concentration;stage Ⅱ:crack propagation;stage Ⅲ:crack coalescence;stage Ⅳ:shearing friction.The numerical simulation shows that the existence of aeolian sand-cement/fly ash paste backfill inevitably altered the coalescence type and failure mode of the specimens and had a strengthening effect on the shear strength of backfill-rock composites.Based on damage mechanics and statistics,a shear constitutive model was proposed to describe the shear fracture characteristics of specimens,especially the bimodal phenomenon.Finally,the micro-and meso-mechanisms of shear failure were discussed by combining the micro-test and nu-merical results.The research can advance the better understanding of the shear behavior of backfill-rock composites and contribute to the safety of mining engineering.
      原文链接:
    • 万方数据

    Slope stability of reclaimed coal mines through a new water filling index

    Antonios MikroutsikosAlexandros I.TheocharisNikolaos C.KoukouzasIoannis E.Zevgolis...
    828-839页
    查看更多>>摘要：A common reclamation practice for closed coal surface mines is filling them with water to form pit lakes.The creation and sustainability of these lakes are significantly affected by the stability of the corre-sponding slopes.The present study provides a general framework for analyzing the water filling's effect on slope stability based on a new water filling index,which can indirectly consider the factors affecting the process and efficiently quantify the filling speed's influence.The assumptions of the proposed approach are thoroughly discussed,and the range of the water filling index is identified.Furthermore,the safety factor is calculated using the finite element method with the shear strength reduction tech-nique during the filling process for various conditions(soil properties,slope geometry,hydraulic con-ditions,and water filling speed).Results are presented as normalized stability charts for practical use.During the water filling,the stability gradually decreases until the reservoir reaches a critical level of 10％-40％of the total height;it then increases to even more stable conditions than the initial one.Overall,the present analysis allows for the preliminary stability evaluation of a coal mine during the formation of a pit lake and the appropriate quantification of the water filling's effect.
      原文链接:
    • 万方数据
    • 维普

    A Bayesian multi-model inference methodology for imprecise moment-independent global sensitivity analysis of rock structures

    Akshay KumarGaurav Tiwari
    840-859页
    查看更多>>摘要：Traditional global sensitivity analysis(GSA)neglects the epistemic uncertainties associated with the probabilistic characteristics(i.e.type of distribution type and its parameters)of input rock properties emanating due to the small size of datasets while mapping the relative importance of properties to the model response.This paper proposes an augmented Bayesian multi-model inference(BMMI)coupled with GSA methodology(BMMI-GSA)to address this issue by estimating the imprecision in the moment-independent sensitivity indices of rock structures arising from the small size of input data.The meth-odology employs BMMI to quantify the epistemic uncertainties associated with model type and pa-rameters of input properties.The estimated uncertainties are propagated in estimating imprecision in moment-independent Borgonovo's indices by employing a reweighting approach on candidate proba-bilistic models.The proposed methodology is showcased for a rock slope prone to stress-controlled failure in the Himalayan region of India.The proposed methodology was superior to the conventional GSA(neglects all epistemic uncertainties)and Bayesian coupled GSA(B-GSA)(neglects model uncer-tainty)due to its capability to incorporate the uncertainties in both model type and parameters of properties.Imprecise Borgonovo's indices estimated via proposed methodology provide the confidence intervals of the sensitivity indices instead of their fixed-point estimates,which makes the user more informed in the data collection efforts.Analyses performed with the varying sample sizes suggested that the uncertainties in sensitivity indices reduce significantly with the increasing sample sizes.The accurate importance ranking of properties was only possible via samples of large sizes.Further,the impact of the prior knowledge in terms of prior ranges and distributions was significant;hence,any related assumption should be made carefully.
      原文链接:
    • 万方数据

    Anisotropic strength,deformation and failure of gneiss granite under high stress and temperature coupled true triaxial compression

    Hongyuan ZhouZaobao LiuFengjiao LiuJianfu Shao...
    860-876页
    查看更多>>摘要：The anisotropic mechanical behavior of rocks under high-stress and high-temperature coupled condi-tions is crucial for analyzing the stability of surrounding rocks in deep underground engineering.This paper is devoted to studying the anisotropic strength,deformation and failure behavior of gneiss granite from the deep boreholes of a railway tunnel that suffers from high tectonic stress and ground temper-ature in the eastern tectonic knot in the Tibet Plateau.High-temperature true triaxial compression tests are performed on the samples using a self-developed testing device with five different loading directions and three temperature values that are representative of the geological conditions of the deep under-ground tunnels in the region.Effect of temperature and loading direction on the strength,elastic modulus,Poisson's ratio,and failure mode are analyzed.The method for quantitative identification of anisotropic failure is also proposed.The anisotropic mechanical behaviors of the gneiss granite are very sensitive to the changes in loading direction and temperature under true triaxial compression,and the high temperature seems to weaken the inherent anisotropy and stress-induced deformation anisotropy.The strength and deformation show obvious thermal degradation at 200℃ due to the weakening of friction between failure surfaces and the transition of the failure pattern in rock grains.In the range of 25 ℃-200 ℃,the failure is mainly governed by the loading direction due to the inherent anisotropy.This study is helpful to the in-depth understanding of the thermal-mechanical behavior of anisotropic rocks in deep underground projects.
      原文链接:
    • 万方数据
    • 维普

    How do the landslide and non-landslide sampling strategies impact landslide susceptibility assessment?—A catchment-scale case study from China

    Zizheng GuoBixia TianYuhang ZhuJun He...
    877-894页
    查看更多>>摘要：The aim of this study is to investigate the impacts of the sampling strategy of landslide and non-landslide on the performance of landslide susceptibility assessment(LSA).The study area is the Feiyun catchment in Wenzhou City,Southeast China.Two types of landslides samples,combined with seven non-landslide sampling strategies,resulted in a total of 14 scenarios.The corresponding landslide susceptibility map(LSM)for each scenario was generated using the random forest model.The receiver operating charac-teristic(ROC)curve and statistical indicators were calculated and used to assess the impact of the dataset sampling strategy.The results showed that higher accuracies were achieved when using the landslide core as positive samples,combined with non-landslide sampling from the very low zone or buffer zone.The results reveal the influence of landslide and non-landslide sampling strategies on the accuracy of LSA,which provides a reference for subsequent researchers aiming to obtain a more reasonable LSM.
      原文链接:
    • 万方数据