首页期刊导航|岩石力学与岩土工程学报（英文版）
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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
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    Coalbursts in China:Theory,practice and management

    Yishan PanYimin SongHao LuoYonghui Xiao...
    1-25页
    查看更多>>摘要：Coalburst is one of the most serious disasters that threaten the safe production of coal mines,and this disaster is particularly serious in China.This paper presents an overview of coalbursts in China since 1980s.From the"stress and energy"and"regional and local"perspectives,the achievements in the theory,practice and management of coalbursts in China are systematically summarized.A theoretical system of coalbursts has been formed to reveal the deformational behavior of coalbursts and explain the mechanism of coalbursts.The occurrence conditions of coalbursts are put forward and the critical stress is obtained.The stress index method for risk evaluation of coalbursts before mining is proposed,and the deformation localization prediction method of coalbursts is put forward.The relationship between en-ergy release and absorption in the process of coalbursts is found,and the prevention and control methods of coalbursts,including the regional method,the local method and support,are presented.The safety evaluation index of coalburst prevention and control is put forward.The integrated prevention and control method for coal and gas outbursts is proposed.The prevention and control technology and equipment of coalbursts have also been developed.Amongst them,the distribution law of the critical stress in China coalburst mines is discovered.The technology and equipment for monitoring,prevention and control of coalbursts,as well as for integrated prevention and control of combined coalbursts and other disasters,have been developed.The energy-absorbing and coalburst-preventing support tech-nology for roadways is invented,and key engineering parameters of coalburst prevention and control are pointed out.In China,coalburst prevention and control laws and standards have been developed.Technical standards for coalbursts are formulated,statute and regulations for coal mines are established,and regulatory documents are promoted.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Insights into carbon dioxide sequestration into coal seams through coupled gas flow-adsorption-deformation modelling

    Hywel ThomasMin Chen
    26-40页
    查看更多>>摘要：Injecting carbon dioxide(CO2)into coal seams may unlock substantial carbon sequestration potential.Since the coal acts like a carbon filter,it can preferentially absorb significant amounts of CO2.To explore this further,desorption of the adsorbed gas due to pressure drop is investigated in this paper,to achieve an improved understanding of the long-term fate of injected CO2 during post-injection period.This paper presents a dual porosity model coupling gas flow,adsorption and geomechanics for studying coupled processes and effectiveness of CO2 sequestration in coals.A new adsorption-desorption model derived based on thermodynamics is incorporated,particularly,the desorption hysteresis is considered.The reliability of the proposed adsorption-desorption isotherm is examined via validation tests.It is indicated that occurrence of desorption hysteresis is attributed to the adsorption-induced pore deformation.After injection ceases,the injected gas continues to propagate further from the injection well,while the pressure in the vicinity of the injection well experiences a significant drop.Although the adsorbed gas near the well also decreases,this decrease is less compared to that in pressure because of desorption hysteresis.The unceasing spread of CO2 and drops of pressure and adsorbed gas depend on the degree of desorption hysteresis and heterogeneity of coals,which should be considered when designing CO2 sequestration into coal seams.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Tensile strength and failure behavior of rock-mortar interfaces:Direct and indirect measurements

    Ghasem ShamsPatrice RivardOmid Moradian
    41-55页
    查看更多>>摘要：The tensile strength at the rock-concrete interface is one of the crucial factors controlling the failure mechanisms of structures,such as concrete gravity dams.Despite the critical importance of the failure mechanism and tensile strength of rock-concrete interfaces,understanding of these factors remains very limited.This study investigated the tensile strength and fracturing processes at rock-mortar interfaces subjected to direct and indirect tensile loadings.Digital image correlation(DIC)and acoustic emission(AE)techniques were used to monitor the failure mechanisms of specimens subjected to direct tension and indirect loading(Brazilian tests).The results indicated that the direct tensile strength of the rock-mortar specimens was lower than their indirect tensile strength,with a direct/indirect tensile strength ratio of 65％.DIC strain field data and moment tensor inversions(MTI)of AE events indicated that a significant number of shear microcracks occurred in the specimens subjected to the Brazilian test.The presence of these shear microcracks,which require more energy to break,resulted in a higher tensile strength during the Brazilian tests.In contrast,microcracks were predominantly tensile in specimens subjected to direct tension,leading to a lower tensile strength.Spatiotemporal monitoring of the cracking processes in the rock-mortar interfaces revealed that they show AE precursors before failure under the Brazilian test,whereas they show a minimal number of AE events before failure under direct tension.Due to different microcracking mechanisms,specimens tested under Brazilian tests showed lower roughness with flatter fracture surfaces than those tested under direct tension with jagged and rough fracture surfaces.The results of this study shed light on better understanding the micromechanics of damage in the rock-concrete interfaces for a safer design of engineering structures.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Failure transition of shear-to-dilation band of rock salt under triaxial stresses

    Jianfeng LiuXiaosong QiuJianxiong YangChao Liang...
    56-64页
    查看更多>>摘要：Great potential of underground gas/energy storage in salt caverns seems to be a promising solution to support renewable energy.In the underground storage method,the operating cycle unfortunately may reach up to daily or even hourly,which generates complicated pressures on the salt cavern.Furthermore,the mechanical behavior of rock salt may change and present distinct failure characteristics under different stress states,which affects the performance of salt cavern during the time period of full service.To reproduce a similar loading condition on the cavern surrounding rock mass,the cyclic triaxial loading/unloading tests are performed on the rock salt to explore the mechanical transition behavior and failure characteristics under different confinement.Experimental results show that the rock salt samples pre-sent a diffused shear failure band with significant bulges at certain locations in low confining pressure conditions(e.g.5 MPa,10 MPa and 15 MPa),which is closely related to crystal misorientation and grain boundary sliding.Under the elevated confinement(e.g.20 MPa,30 MPa and 40 MPa),the dilation band dominates the failure mechanism,where the large-size halite crystals are crushed to be smaller size and new pores are developing.The failure transition mechanism revealed in the paper provides additional insight into the mechanical performance of salt caverns influenced by complicated stress states.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    A performance-based hybrid deep learning model for predicting TBM advance rate using Attention-ResNet-LSTM

    Sihao YuZixin ZhangShuaifeng WangXin Huang...
    65-80页
    查看更多>>摘要：The technology of tunnel boring machine(TBM)has been widely applied for underground construction worldwide;however,how to ensure the TBM tunneling process safe and efficient remains a major concern.Advance rate is a key parameter of TBM operation and reflects the TBM-ground interaction,for which a reliable prediction helps optimize the TBM performance.Here,we develop a hybrid neural network model,called Attention-ResNet-LSTM,for accurate prediction of the TBM advance rate.A database including geological properties and TBM operational parameters from the Yangtze River Natural Gas Pipeline Project is used to train and test this deep learning model.The evolutionary polynomial regression method is adopted to aid the selection of input parameters.The results of numerical exper-iments show that our Attention-ResNet-LSTM model outperforms other commonly-used intelligent models with a lower root mean square error and a lower mean absolute percentage error.Further,parametric analyses are conducted to explore the effects of the sequence length of historical data and the model architecture on the prediction accuracy.A correlation analysis between the input and output parameters is also implemented to provide guidance for adjusting relevant TBM operational parameters.The performance of our hybrid intelligent model is demonstrated in a case study of TBM tunneling through a complex ground with variable strata.Finally,data collected from the Baimang River Tunnel Project in Shenzhen of China are used to further test the generalization of our model.The results indicate that,compared to the conventional ResNet-LSTM model,our model has a better predictive capability for scenarios with unknown datasets due to its self-adaptive characteristic.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Numerical investigation of geostress influence on the grouting reinforcement effectiveness of tunnel surrounding rock mass in fault fracture zones

    Xiangyu XuZhijun WuLei WengZhaofei Chu...
    81-101页
    查看更多>>摘要：Grouting is a widely used approach to reinforce broken surrounding rock mass during the construction of underground tunnels in fault fracture zones,and its reinforcement effectiveness is highly affected by geostress.In this study,a numerical manifold method(NMM)based simulator has been developed to examine the impact of geostress conditions on grouting reinforcement during tunnel excavation.To develop this simulator,a detection technique for identifying slurry migration channels and an improved fluid-solid coupling(F-S)framework,which considers the influence of fracture properties and geostress states,is developed and incorporated into a zero-thickness cohesive element(ZE)based NMM(Co-NMM)for simulating tunnel excavation.Additionally,to simulate coagulation of injected slurry,a bonding repair algorithm is further proposed based on the ZE model.To verify the accuracy of the proposed simulator,a series of simulations about slurry migration in single fractures and fracture networks are numerically reproduced,and the results align well with analytical and laboratory test results.Furthermore,these numerical results show that neglecting the influence of geostress condition can lead to a serious over-estimation of slurry migration range and reinforcement effectiveness.After validations,a series of simulations about tunnel grouting reinforcement and tunnel excavation in fault fracture zones with varying fracture densities under different geostress conditions are conducted.Based on these simula-tions,the influence of geostress conditions and the optimization of grouting schemes are discussed.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Assessment of compressive strength of jet grouting by machine learning

    Esteban DíazEdgar Leonardo Salamanca-MedinaRoberto Tomás
    102-111页
    查看更多>>摘要：Jet grouting is one of the most popular soil improvement techniques,but its design usually involves great uncertainties that can lead to economic cost overruns in construction projects.The high dispersion in the properties of the improved material leads to designers assuming a conservative,arbitrary and unjustified strength,which is even sometimes subjected to the results of the test fields.The present paper presents an approach for prediction of the uniaxial compressive strength(UCS)of jet grouting columns based on the analysis of several machine learning algorithms on a database of 854 results mainly collected from different research papers.The selected machine learning model(extremely randomized trees)relates the soil type and various parameters of the technique to the value of the compressive strength.Despite the complex mechanism that surrounds the jet grouting process,evidenced by the high dispersion and low correlation of the variables studied,the trained model allows to optimally predict the values of compressive strength with a significant improvement with respect to the existing works.Consequently,this work proposes for the first time a reliable and easily applicable approach for estimation of the compressive strength of jet grouting columns.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Investigation of the block toppling evolution of a layered model slope by centrifuge test and discrete element modeling

    Leilei JinHongkai DongFei YeYufeng Wei...
    112-122页
    查看更多>>摘要：Primary toppling usually occurs in layered rock slopes with large anti-dip angles.In this paper,the block toppling evolution was explored using a large-scale centrifuge system.Each block column in the layered model slope was made of cement mortar.Some artificial cracks perpendicular to the block column were prefabricated.Strain gages,displacement gages,and high-speed camera measurements were employed to monitor the deformation and failure processes of the model slope.The centrifuge test results show that the block toppling evolution can be divided into seven stages,i.e.layer compression,formation of major tensile crack,reverse bending of the block column,closure of major tensile crack,strong bending of the block column,formation of failure zone,and complete failure.Block toppling is characterized by sudden large deformation and occurs in stages.The wedge-shaped cracks in the model incline towards the slope.Experimental observations show that block toppling is mainly caused by bending failure rather than by shear failure.The tensile strength also plays a key factor in the evolution of block toppling.The simulation results from discrete element method(DEM)is in line with the testing results.Tensile stress exists at the backside of rock column during toppling deformation.Stress concentration results in the fragmented rock column and its degree is the most significant at the slope toe.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    A gated recurrent unit model to predict Poisson's ratio using deep learning

    Fahd Saeed AlakbariMysara Eissa MohyaldinnMohammed Abdalla AyoubIbnelwaleed A.Hussein...
    123-135页
    查看更多>>摘要：Static Poisson's ratio(vs)is crucial for determining geomechanical properties in petroleum applications,namely sand production.Some models have been used to predict vs;however,the published models were limited to specific data ranges with an average absolute percentage relative error(AAPRE)of more than 10％.The published gated recurrent unit(GRU)models do not consider trend analysis to show physical behaviors.In this study,we aim to develop a GRU model using trend analysis and three inputs for predicting vs based on a broad range of data,vs(value of 0.1627-0.4492),bulk formation density(RHOB)(0.315-2.994 g/mL),compressional time(DTc)(44.43-186.9 μs/ft),and shear time(DTs)(72.9-341.2 μs/ft).The GRU model was evaluated using different approaches,including statistical error an-alyses.The GRU model showed the proper trends,and the model data ranges were wider than previous ones.The GRU model has the largest correlation coefficient(R)of 0.967 and the lowest AAPRE,average percent relative error(APRE),root mean square error(RMSE),and standard deviation(SD)of 3.228％,-1.054％,4.389,and 0.013,respectively,compared to other models.The GRU model has a high accuracy for the different datasets:training,validation,testing,and the whole datasets with R and AAPRE values were 0.981 and 2.601％,0.966 and 3.274％,0.967 and 3.228％,and 0.977 and 2.861％,respectively.The group error analyses of all inputs show that the GRU model has less than 5％AAPRE for all input ranges,which is superior to other models that have different AAPRE values of more than 10％at various ranges of inputs.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Experimental study on the effect of water absorption level on rockburst occurrence of sandstone

    Dongqiao LiuJie SunPengfei HeManchao He...
    136-152页
    查看更多>>摘要：To investigate the mechanism of rockburst prevention by spraying water onto the surrounding rocks,15 experiments are performed considering different water absorption levels on a single face.High-speed photography and acoustic emission(AE)system are used to monitor the rockburst process.The effect of water on sandstone rockburst and the prevention mechanism of water on sandstone rockburst are analyzed from the perspective of energy and failure mode.The results show that the higher the ab-sorption degree,the lower the intensity of the rockburst after absorbing water on single side of sand-stone.This is reflected in the fact that with the increase in the water absorption level,the ejection velocity of rockburst fragments is smaller,the depth of the rockburst pit is shallower,and the AE energy is smaller.Under the water absorption level of 100％,the magnitude of rockburst intensity changes from medium to slight.The prevention mechanism of water on sandstone rockburst is that water reduces the capacity of sandstone to store strain energy and accelerates the expansion of shear cracks,which is not conducive to the occurrence of plate cracking before rockburst,and destroys the conditions for rockburst incubation.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普