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| 1 | PARALLEL ANALYSIS OF COMBINED FINITE/DISCRETE ELEMENT SYSTEMS ON PC CLUSTER显示文摘A computational strategy is presented for the nonlinear dynamic analysis of largescale combined finite/discrete element systems on a PC cluster. In this strategy, a dual-level domain decomposition scheme is adopted to implement the dynamic domain decomposition. The domain decomposition approach perfectly matches the requirement of reducing the memory size per processor of the calculation. To treat the contact between boundary elements in neighbouring subdomains, the elements in a subdomain are classified into internal, interfacial and external elements. In this way, all the contact detect algorithms developed for a sequential computation could be adopted directly in the parallel computation. Numerical examples show that this implementation is suitable for simulating large-scale problems. Two typical numerical examples are given to demonstrate the parallel efficiency and scalability on a PC cluster. | 王福军 Y.T.FENG D.R.J.OWEN 张静 刘洋 | 2004 | Acta Mechanica Sinica2004，20，5： | 5 |
| 2 | 一种用于结构动态过程数值模拟的广义有限元法显示文摘提出了一种能同时处理连续体和离散体动态过程的有限元法.该法通过构造接触力模型,将传统的离散元当做标准的一节点有限单元来看待.新构造的一节点单元与常规有限单元具有同样物理特征,包括应力和应变.从而,将离散元算法与有限元算法紧密结合在一起,形成了统一的、与现有有限元系统兼容的广义有限元计算模型.这种模型不仅简化了计算过程,还可最大限度地发挥现有有限元代码的功能.数值算例表明,新方法可以更加有效地模拟大量离散体与连续体相互作用的复杂动力学过程. | 王福军 黎耀军 K.Han Y.T.Feng | 2006 | 中国科学(G辑)2006，36，4： | 3 |
| 3 | 振动轨迹对钻井振动筛固相运移的影响显示文摘基于考虑颗粒表面粘附力的JKR(Johnson-Kendall-Roberts)理论接触模型,建立钻井振动筛的离散元分析模型,针对固相颗粒群在直线和椭圆轨迹筛面上的运移过程进行对比仿真研究。结果表明:直线振动筛颗粒的运移速度略大于椭圆型的;颗粒碰撞次数呈现周期性变化,并且椭圆振动筛的碰撞次数大于直线振动筛的;不同颗粒呈现明显的分层,粒径大的颗粒容易运动到上层,粒径小的颗粒容易运动到底层;受颗粒表面钻井液黏滞阻力的影响,颗粒粒径与筛孔孔径比为0.4~0.6的颗粒透筛率最大,颗粒粒径与筛孔孔径比小于0.4的小颗粒更容易形成颗粒团,阻碍这类颗粒的透筛。 | 吕志鹏 朱宏武 张思 周思柱 Y.T.FENG | 2015 | 中国粉体技术2015，0，6： | 3 |
| 4 | Deep Learning Predicts Stress–Strain Relations of Granular Materials Based on Triaxial Testing Data显示文摘This study presents an AI-based constitutive modelling framework wherein the prediction model directly learns from triaxial testing data by combining discrete element modelling(DEM)and deep learning.A constitutive learning strategy is proposed based on the generally accepted frame-indifference assumption in constructing material constitutive models.The low-dimensional principal stress-strain sequence pairs,measured from discrete element modelling of triaxial testing,are used to train recurrent neural networks,and then the predicted principal stress sequence is augmented to other high-dimensional or general stress tensor via coordinate transformation.Through detailed hyperparameter investigations,it is found that long short-term memory(LSTM)and gated recurrent unit(GRU)networks have similar prediction performance in constitutive modelling problems,and both satisfactorily predict the stress responses of granular materials subjected to a given unseen strain path.Furthermore,the unique merits and ongoing challenges of data-driven constitutive models for granular materials are discussed. | Tongming Qu Shaocheng Di Y.T.Feng Min Wang Tingting Zhao Mengqi Wang | 2021 | Computer Modeling in Engineering & Sciences2021，，7： | 2 |
| 5 | Discrete Element Modelling of Dynamic Behaviour of Rockfills forResisting High Speed Projectile Penetration显示文摘This paper presents a convex polyhedral based discrete element method for modelling the dynamic behaviour ofrockfills for resisting high speed projectile penetration. The contact between two convex polyhedra is defined by theMinkowski overlap and determined by the GJK and EPA algorithm. The contact force is calculated by a Minkowskioverlap based normal model. The rotational motion of polyhedral particles is solved by employing a quaternionbased orientation representation scheme. The energy-conserving nature of the polyhedral DEM method ensures arobust and effective modelling of convex particle systems. The method is applied to simulate the dynamic behaviourof a rockfill system under impact of a high speed projectile. The rockfill sample is generated by a three-dimensionalVoronoi meso method with a specific particle size distribution. The penetrating process of the projectile strikingthe rockfill target is simulated. Some physical quantities associated with the projectile such as the residual velocity,penetration resistance, and deflection angle are monitored which can reflect the influence of the characteristics ofthe rockfill target on its anti-penetration performance. It can be concluded that the developed polyhedral DEMmethod is a very promising numerical approach in analysing the dynamic behaviour of rockfill systems subject tohigh speed projectile impact. | Tingting Zhao Y.T.Feng Jie Zhang Zhihua Wang Zhiyong Wang | 2021 | Computer Modeling in Engineering & Sciences2021，，5： | 2 |
| 6 | Modeling of alkali-silica reaction in concrete:a review显示文摘This paper presents a comprehensive review of modeling of alkali-silica reaction(ASR)in concrete.Such modeling is essential for investigating the chemical expansion mechanism and the subsequent influence on the mechanical aspects of the material.The concept of ASR and the mechanism of expansion are first outlined,and the stateof-the-art of modeling for ASR,the focus of the paper,is then presented in detail.The modeling includes theoretical approaches,meso-and macroscopic models for ASR analysis.The theoretical approaches dealt with the chemical reaction mechanism and were used for predicting pessimum size of aggregate.Mesoscopic models have attempted to explain the mechanism of mechanical deterioration of ASR-affected concrete at material scale.The macroscopic models,chemomechanical coupling models,have been generally dcveloped by combining the chemical reaction kinetics with linear or nonlinear mechanical constitutive,and were applied to reproduce and predict the long-term behavior of struetures suffering from ASR.Finally,a conclusion and discussion of the modcling are given. | J.W.PAN Y.T.FENG J.T.WANG Q.C.SUN C.H.ZHANG D.R.J.OWEN | 2012 | Frontiers of Structural and Civil Engineering2012，6，1： | 2 |
| 7 | 查看详情显示文摘 | X.K.Li X.H.Chu Y.T.Feng | | 0，，： | 1 |
| 8 | STCF conceptual design report (Volume 1): Physics & detector显示文摘The superτ-charm facility(STCF)is an electron–positron collider proposed by the Chinese particle physics community.It is designed to operate in a center-of-mass energy range from 2 to 7 GeV with a peak luminosity of 0.5×1035 cm–2·s–1 or higher.The STCF will produce a data sample about a factor of 100 larger than that of the presentτ-charm factory—the BEPCII,providing a unique platform for exploring the asymmetry of matter-antimatter(charge-parity violation),in-depth studies of the internal structure of hadrons and the nature of non-perturbative strong interactions,as well as searching for exotic hadrons and physics beyond the Standard Model.The STCF project in China is under development with an extensive R&D program.This document presents the physics opportunities at the STCF,describes conceptual designs of the STCF detector system,and discusses future plans for detector R&D and physics case studies. | M.Achasov X.C.Ai L.P.An R.Aliberti Q.An X.Z.Bai Y.Bai O.Bakina A.Barnyakov V.Blinov V.Bobrovnikov D.Bodrov A.Bogomyagkov A.Bondar I.Boyko Z.H.Bu F.M.Cai H.Cai J.J.Cao Q.H.Cao X.Cao Z.Cao Q.Chang K.T.Chao D.Y.Chen H.Chen H.X.Chen J.F.Chen K.Chen L.L.Chen P.Chen S.L.Chen S.M.Chen S.Chen S.P.Chen W.Chen X.Chen X.F.Chen X.R.Chen Y.Chen Y.Q.Chen H.Y.Cheng J.Cheng S.Cheng T.G.Cheng J.P.Dai L.Y.Dai X.C.Dai D.Dedovich A.Denig I.Denisenko J.M.Dias D.Z.Ding L.Y.Dong W.H.Dong V.Druzhinin D.S.Du Y.J.Du Z.G.Du L.M.Duan D.Epifanov Y.L.Fan S.S.Fang Z.J.Fang G.Fedotovich C.Q.Feng X.Feng Y.T.Feng J.L.Fu J.Gao Y.N.Gao P.S.Ge C.Q.Geng L.S.Geng A.Gilman L.Gong T.Gong B.Gou W.Gradl J.L.Gu A.Guevara L.C.Gui A.Q.Guo F.K.Guo J.C.Guo J.Guo Y.P.Guo Z.H.Guo A.Guskov K.L.Han L.Han M.Han X.Q.Hao J.B.He S.Q.He X.G.He Y.L.He Z.B.He Z.X.Heng B.L.Hou T.J.Hou Y.R.Hou C.Y.Hu H.M.Hu K.Hu R.J.Hu W.H.Hu X.H.Hu Y.C.Hu J.Hua G.S.Huang J.S.Huang M.Huang Q.Y.Huang W.Q.Huang X.T.Huang X.J.Huang Y.B.Huang Y.S.Huang N.Hüsken V.Ivanov Q.P.Ji J.J.Jia S.Jia Z.K.Jia H.B.Jiang J.Jiang S.Z.Jiang J.B.Jiao Z.Jiao H.J.Jing X.L.Kang X.S.Kang B.C.Ke M.Kenzie A.Khoukaz I.Koop E.Kravchenko A.Kuzmin Y.Lei E.Levichev C.H.Li C.Li D.Y.Li F.Li G.Li G.Li H.B.Li H.Li H.N.Li H.J.Li H.L.Li J.M.Li J.Li L.Li L.Li L.Y.Li N.Li P.R.Li R.H.Li S.Li T.Li W.J.Li X.Li X.H.Li X.Q.Li X.H.Li Y.Li Y.Y.Li Z.J.Li H.Liang J.H.Liang Y.T.Liang G.R.Liao L.Z.Liao Y.Liao C.X.Lin D.X.Lin X.S.Lin B.J.Liu C.W.Liu D.Liu F.Liu G.M.Liu H.B.Liu J.Liu J.J.Liu J.B.Liu K.Liu K.Y.Liu K.Liu L.Liu Q.Liu S.B.Liu T.Liu X.Liu Y.W.Liu Y.Liu Y.L.Liu Z.Q.Liu Z.Y.Liu Z.W.Liu I.Logashenko Y.Long C.G.Lu J.X.Lu N.Lu Q.F.Lü Y.Lu Y.Lu Z.Lu P.Lukin F.J.Luo T.Luo X.F.Luo Y.H.Luo H.J.Lyu X.R.Lyu J.P.Ma P.Ma Y.Ma Y.M.Ma F.Maas S.Malde D.Matvienko Z.X.Meng R.Mitchell A.Nefediev Y.Nefedov S.L.Olsen Q.Ouyang P.Pakhlov G.Pakhlova X.Pan Y.Pan E.Passemar Y.P.Pei H.P.Peng L.Peng X.Y.Peng X.J.Peng K.Peters S.Pivovarov E.Pyata B.B.Qi Y.Q.Qi W.B.Qian Y.Qian C.F.Qiao J.J.Qin J.J.Qin L.Q.Qin X.S.Qin T.L.Qiu J.Rademacker C.F.Redmer H.Y.Sang M.Saur W.Shan X.Y.Shan L.L.Shang M.Shao L.Shekhtman C.P.Shen J.M.Shen Z.T.Shen H.C.Shi X.D.Shi B.Shwartz A.Sokolov J.J.Song W.M.Song Y.Song Y.X.Song A.Sukharev J.F.Sun L.Sun X.M.Sun Y.J.Sun Z.P.Sun J.Tang S.S.Tang Z.B.Tang C.H.Tian J.S.Tian Y.Tian Y.Tikhonov K.Todyshev T.Uglov V.Vorobyev B.D.Wan B.L.Wang B.Wang D.Y.Wang G.Y.Wang G.L.Wang H.L.Wang J.Wang J.H.Wang J.C.Wang M.L.Wang R.Wang R.Wang S.B.Wang W.Wang W.P.Wang X.C.Wang X.D.Wang X.L.Wang X.L.Wang X.P.Wang X.F.Wang Y.D.Wang Y.P.Wang Y.Q.Wang Y.L.Wang Y.G.Wang Z.Y.Wang Z.Y.Wang Z.L.Wang Z.G.Wang D.H.Wei X.L.Wei X.M.Wei Q.G.Wen X.J.Wen G.Wilkinson B.Wu J.J.Wu L.Wu P.Wu T.W.Wu Y.S.Wu L.Xia T.Xiang C.W.Xiao D.Xiao M.Xiao K.P.Xie Y.H.Xie Y.Xing Z.Z.Xing X.N.Xiong F.R.Xu J.Xu L.L.Xu Q.N.Xu X.C.Xu X.P.Xu Y.C.Xu Y.P.Xu Y.Xu Z.Z.Xu D.W.Xuan F.F.Xue L.Yan M.J.Yan W.B.Yan W.C.Yan X.S.Yan B.F.Yang C.Yang H.J.Yang H.R.Yang H.T.Yang J.F.Yang S.L.Yang Y.D.Yang Y.H.Yang Y.S.Yang Y.L.Yang Z.W.Yang Z.Y.Yang D.L.Yao H.Yin X.H.Yin N.Yokozaki S.Y.You Z.Y.You C.X.Yu F.S.Yu G.L.Yu H.L.Yu J.S.Yu J.Q.Yu L.Yuan X.B.Yuan Z.Y.Yuan Y.F.Yue M.Zeng S.Zeng A.L.Zhang B.W.Zhang G.Y.Zhang G.Q.Zhang H.J.Zhang H.B.Zhang J.Y.Zhang J.L.Zhang J.Zhang L.Zhang L.M.Zhang Q.A.Zhang R.Zhang S.L.Zhang T.Zhang X.Zhang Y.Zhang Y.J.Zhang Y.X.Zhang Y.T.Zhang Y.F.Zhang Y.C.Zhang Y.Zhang Y.Zhang Y.M.Zhang Y.L.Zhang Z.H.Zhang Z.Y.Zhang Z.Y.Zhang H.Y.Zhao J.Zhao L.Zhao M.G.Zhao Q.Zhao R.G.Zhao R.P.Zhao Y.X.Zhao Z.G.Zhao Z.X.Zhao A.Zhemchugov B.Zheng L.Zheng Q.B.Zheng R.Zheng Y.H.Zheng X.H.Zhong H.J.Zhou H.Q.Zhou H.Zhou S.H.Zhou X.Zhou X.K.Zhou X.P.Zhou X.R.Zhou Y.L.Zhou Y.Zhou Y.X.Zhou Z.Y.Zhou J.Y.Zhu K.Zhu R.D.Zhu R.L.Zhu S.H.Zhu Y.C.Zhu Z.A.Zhu V.Zhukova V.Zhulanov B.S.Zou Y.B.Zuo | 2024 | Frontiers of physics2024，19，1： | 0 |
| 9 | Modelling of Magnetorheological Fluids with Combined Lattice Boltzmann and Discrete Element Approach显示文摘A combined lattice Boltzmann and discrete element approach is proposedfor numerical modelling of magnetorheological fluids. In its formulation, the particledynamics is simulated by the discrete element method, while the fluid field is resolvedwith the lattice Boltzmann method. The coupling between the fluid and the particlesare realized through the hydrodynamic interactions. Procedures for computing magnetic, contact and hydrodynamic forces are discussed in detail. The applicability ofthe proposed solution procedure is illustrated via a two-stage simulation of a MR fluidproblem with four different particle volume fractions. At the first stage, simulationsare performed for the particle chain formation upon application of an external magnetic field;and at the second stage, the rheological properties of the MR fluid underdifferent shear loading conditions are investigated with the particle chains establishedat the first stage as the initial configuration. | K.Han Y.T.Feng D.R.J.Owen | 2010 | Communications in Computational Physics2010，7，5： | 0 |
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