随着盾构机制造技术的不断进步,隧道工程中使用盾构机的情况愈加普遍。滚刀作为一种优异的掘进刀具,在复合地层盾构机中普遍应用。滚刀在使用过程中处于动态滚动状态,离散多元化的岩土体将导致滚刀的动态状态呈现异常状态,从而导致滚刀...随着盾构机制造技术的不断进步,隧道工程中使用盾构机的情况愈加普遍。滚刀作为一种优异的掘进刀具,在复合地层盾构机中普遍应用。滚刀在使用过程中处于动态滚动状态,离散多元化的岩土体将导致滚刀的动态状态呈现异常状态,从而导致滚刀和岩土体接触面间存在较大的相对滑动速率。在以往的离散元滚刀模拟中,研究者将滚刀设定为固定转速而未实现滚刀的动态滚动过程。使用刚体动力学(rigid body dynamics,RBD)-离散元(discrete element method,DEM)耦合的数值模拟方法,实现了在数值模拟中的滚刀动态被动转动,进一步贴近工程实际。以强风化岩为破岩对象,模拟分析了不同贯入度、不同运动速度下的滚刀的动态运动过程。基于初步研究分析发现:滚刀存在最优贯入度区间,低于该区间时滚刀不能进入动态转动状态,大于该区间时改善效果不明显且增大滚刀受力;滚刀启动时受到的扭矩先随滚刀运动而升高,到达某一峰值点附近后开始下降,随后在零值附近波动;滚刀启动峰值扭矩和运动速度正相关;滚刀达到峰值扭矩的时间和运动速度负相关。研究结果可为盾构刀盘刀具设计及盾构机的操作提供参考。展开更多
基于离散元法(discrete element method,DEM)建立沥青混合料二维劈裂(indirect tensile,IDT)试验模型,研究集料模型、集料形状、空隙率,以及加载方位角等因素对混合料低温劈裂虚拟试验结果(劈裂强度和最大水平拉应力)的影响。结果表明:...基于离散元法(discrete element method,DEM)建立沥青混合料二维劈裂(indirect tensile,IDT)试验模型,研究集料模型、集料形状、空隙率,以及加载方位角等因素对混合料低温劈裂虚拟试验结果(劈裂强度和最大水平拉应力)的影响。结果表明:沥青混合料低温虚拟劈裂试验时,集料模型对数值模拟计算效率、内部结构中的接触力链和裂纹扩展路径等有很大影响;实际边界模型较等效椭圆形与等效多边形模型其数值模拟结果变异性较小;空隙率大小对劈裂强度及水平向最大拉应力有显著影响,随空隙率的增大两者均有不同程度的减小;不同加载方位角下的劈裂试验数值模拟结果呈各向异性。展开更多
The applications of numerical simulation in demolition blasting were reviewed.Several methods of numerical simulation in demolition blasting were introduced.The strength and weakness of the numerical methods mentioned...The applications of numerical simulation in demolition blasting were reviewed.Several methods of numerical simulation in demolition blasting were introduced.The strength and weakness of the numerical methods mentioned in this paper were also indicated,respectively.Furthermore,the solid lattice model in the frame of discrete element method(DEM),which was developed by the author and his team,was detailedly described.The existed problems in the current numerical simulation methods of demolition blasting were presented and the future trend of the numerical simulation is finally prospected.展开更多
A Markov chain-based stochastic model （MCM） is developed to simulate the movement of particles in a 2D bubbling fluidized bed （BFB）. The state spaces are determined by the discretized physical cells of the bed, an...A Markov chain-based stochastic model （MCM） is developed to simulate the movement of particles in a 2D bubbling fluidized bed （BFB）. The state spaces are determined by the discretized physical cells of the bed, and the transition probability matrix is directly calculated by the results of a discrete element method （DEM） simulation. The Markov property of the BFB is discussed by the comparison results calculated from both static and dynamic transition probability matrices. The static matrix is calculated based on the Markov chain while the dynamic matrix is calculated based on the memory property of the particle movement. Results show that the difference in the trends of particle movement between the static and dynamic matrix calculation is very small. Besides, the particle mixing curves of the MCM and DEM have the same trend and similar numerical values, and the details show the time averaged characteristic of the MCM and also expose its shortcoming in describing the instantaneous particle dynamics in the BFB.展开更多
Adding a moving baffle to the drum is a new way to enhance the motion and mixing of particles in rotating drums.To obtain its influence on binary particles,horizontal rotating drums provided with a moving baffle were ...Adding a moving baffle to the drum is a new way to enhance the motion and mixing of particles in rotating drums.To obtain its influence on binary particles,horizontal rotating drums provided with a moving baffle were investigated by discrete element method(DEM).AtΩ=15 r/min,increasing the length of moving baffle can increase the fluctuation amplitude of average particle velocity.AtΩ=60 r/min,the influence of the moving baffle on the average velocity fluctuation tends to be more random.At both rotational speeds,the moving baffle causes the average particle velocity to fluctuate more sharply.The moving baffle can enhance particle mixing.AtΩ=15 r/min,the moving baffle with length ofδ=1/3 can best enhance particle mixing.However,atΩ=60 r/min,only the moving baffle with a specific length(δ=1/4)can enhance mixing.This basic research has a positive reference value for the application of the moving baffle in industry.展开更多
The quantitative evaluation of errors involved in a particular numerical modelling is of prime importance for the effectiveness and reliability of the method. Errors in Distinct Element Modelling are generated mainly ...The quantitative evaluation of errors involved in a particular numerical modelling is of prime importance for the effectiveness and reliability of the method. Errors in Distinct Element Modelling are generated mainly through three resources as simplification of physical model, determination of parameters and boundary conditions. A measure of errors which represent the degree of numerical solution 'close to true value' is proposed through fuzzy probability in this paper. The main objective of this paper is to estimate the reliability of Distinct Element Method in rock engineering practice by varying the parameters and boundary conditions. The accumulation laws of standard errors induced by improper determination of parameters and boundary conditions are discussed in delails. Furthermore, numerical experiments are given to illustrate the estimation of fuzzy reliability. Example shows that fuzzy reliability falls between 75%-98% when the relative standard errors of input data is under 10 %.展开更多
文摘随着盾构机制造技术的不断进步,隧道工程中使用盾构机的情况愈加普遍。滚刀作为一种优异的掘进刀具,在复合地层盾构机中普遍应用。滚刀在使用过程中处于动态滚动状态,离散多元化的岩土体将导致滚刀的动态状态呈现异常状态,从而导致滚刀和岩土体接触面间存在较大的相对滑动速率。在以往的离散元滚刀模拟中,研究者将滚刀设定为固定转速而未实现滚刀的动态滚动过程。使用刚体动力学(rigid body dynamics,RBD)-离散元(discrete element method,DEM)耦合的数值模拟方法,实现了在数值模拟中的滚刀动态被动转动,进一步贴近工程实际。以强风化岩为破岩对象,模拟分析了不同贯入度、不同运动速度下的滚刀的动态运动过程。基于初步研究分析发现:滚刀存在最优贯入度区间,低于该区间时滚刀不能进入动态转动状态,大于该区间时改善效果不明显且增大滚刀受力;滚刀启动时受到的扭矩先随滚刀运动而升高,到达某一峰值点附近后开始下降,随后在零值附近波动;滚刀启动峰值扭矩和运动速度正相关;滚刀达到峰值扭矩的时间和运动速度负相关。研究结果可为盾构刀盘刀具设计及盾构机的操作提供参考。
文摘为了寻找室内缩尺级配堆石料强度和变形参数的表征单元体积(REV),利用离散元方法(DEM)研究试样尺寸对玄武岩堆石料力学行为的影响.通过室内单颗粒破碎试验,分析玄武岩颗粒的破碎特性,确定DEM模拟所需的颗粒破碎强度参数.开展一系列试样尺寸、颗粒排列和围压不同的三轴压缩DEM试验.分析堆石料强度和变形参数随试样尺寸的变化规律,建议了各参数的REV.结果表明,颗粒排列和试样尺寸均会影响堆石料的力学行为.各力学参数的变异系数随着试样尺寸的增大而减小.不同力学参数的REV尺寸不同,为了提高DEM计算效率,可以根据研究对象选择合适的试样尺寸.在模拟工况下,要使所有参数均达到稳定,数值试样尺寸应不小于直径300 mm×高度600 mm.
文摘基于离散元法(discrete element method,DEM)建立沥青混合料二维劈裂(indirect tensile,IDT)试验模型,研究集料模型、集料形状、空隙率,以及加载方位角等因素对混合料低温劈裂虚拟试验结果(劈裂强度和最大水平拉应力)的影响。结果表明:沥青混合料低温虚拟劈裂试验时,集料模型对数值模拟计算效率、内部结构中的接触力链和裂纹扩展路径等有很大影响;实际边界模型较等效椭圆形与等效多边形模型其数值模拟结果变异性较小;空隙率大小对劈裂强度及水平向最大拉应力有显著影响,随空隙率的增大两者均有不同程度的减小;不同加载方位角下的劈裂试验数值模拟结果呈各向异性。
文摘The applications of numerical simulation in demolition blasting were reviewed.Several methods of numerical simulation in demolition blasting were introduced.The strength and weakness of the numerical methods mentioned in this paper were also indicated,respectively.Furthermore,the solid lattice model in the frame of discrete element method(DEM),which was developed by the author and his team,was detailedly described.The existed problems in the current numerical simulation methods of demolition blasting were presented and the future trend of the numerical simulation is finally prospected.
基金The National Science Foundation of China(No.51276036,51306035)the Fundamental Research Funds for the Central Universities(No.KYLX_0114)
文摘A Markov chain-based stochastic model （MCM） is developed to simulate the movement of particles in a 2D bubbling fluidized bed （BFB）. The state spaces are determined by the discretized physical cells of the bed, and the transition probability matrix is directly calculated by the results of a discrete element method （DEM） simulation. The Markov property of the BFB is discussed by the comparison results calculated from both static and dynamic transition probability matrices. The static matrix is calculated based on the Markov chain while the dynamic matrix is calculated based on the memory property of the particle movement. Results show that the difference in the trends of particle movement between the static and dynamic matrix calculation is very small. Besides, the particle mixing curves of the MCM and DEM have the same trend and similar numerical values, and the details show the time averaged characteristic of the MCM and also expose its shortcoming in describing the instantaneous particle dynamics in the BFB.
基金Project(51676032)supported by the National Natural Science Foundation of ChinaProject(IRT_17R19)supported by the Program for Changjiang Scholars and Innovative Research Team in University,China
文摘Adding a moving baffle to the drum is a new way to enhance the motion and mixing of particles in rotating drums.To obtain its influence on binary particles,horizontal rotating drums provided with a moving baffle were investigated by discrete element method(DEM).AtΩ=15 r/min,increasing the length of moving baffle can increase the fluctuation amplitude of average particle velocity.AtΩ=60 r/min,the influence of the moving baffle on the average velocity fluctuation tends to be more random.At both rotational speeds,the moving baffle causes the average particle velocity to fluctuate more sharply.The moving baffle can enhance particle mixing.AtΩ=15 r/min,the moving baffle with length ofδ=1/3 can best enhance particle mixing.However,atΩ=60 r/min,only the moving baffle with a specific length(δ=1/4)can enhance mixing.This basic research has a positive reference value for the application of the moving baffle in industry.
文摘The quantitative evaluation of errors involved in a particular numerical modelling is of prime importance for the effectiveness and reliability of the method. Errors in Distinct Element Modelling are generated mainly through three resources as simplification of physical model, determination of parameters and boundary conditions. A measure of errors which represent the degree of numerical solution 'close to true value' is proposed through fuzzy probability in this paper. The main objective of this paper is to estimate the reliability of Distinct Element Method in rock engineering practice by varying the parameters and boundary conditions. The accumulation laws of standard errors induced by improper determination of parameters and boundary conditions are discussed in delails. Furthermore, numerical experiments are given to illustrate the estimation of fuzzy reliability. Example shows that fuzzy reliability falls between 75%-98% when the relative standard errors of input data is under 10 %.
