The Research of the Numerical Simulation on the Granular Ballast Bed Tamping

2012 ◽  
Vol 479-481 ◽  
pp. 1395-1398 ◽  
Author(s):  
Xue Jun Wang ◽  
Yi Lin Chi ◽  
Wei Li ◽  
Tao Yong Zhou ◽  
Xing Li Geng
Keyword(s):  
Discrete Element Method ◽  
Simulation Model ◽  
High Speed ◽  
Flow Simulation ◽  
Discrete Element ◽  
Particle Flow ◽  
Main Work ◽  
Railway Sleeper ◽  
Particle Flow Simulation ◽  
Element Method

Abstract. Under the action of high speed train and the repeated heavy vehicles, the granular ballast bed produce degradation and deformation that do not restore, tamping homework is an effective method that is being used to recovery the elastic of the track. In this article, the discrete element method is be used to establish a cross discrete particle flow simulation model between ballast track bed and tamping picks, and to simulate the movement and vibration characteristics of the granular ballast particles while tamping. The three main work are included in this paper. With the large commercial software EDEM, the first main work is to research the modeling method of ballast particles. The second work is to establish firm-soft coupling particle flow simulation model among ballast 、sleeper and tamping picks. The third work is to validate the ballasts' mechanical properties' change rule under the railway sleeper, while different tamping working condition and out load are being implemented. The research shows the discrete element method is effective for solving the vibration problem produced during the process of tamping homework.

Study on the DEM Simulation of the Granular Railway Ballast Bed Tamping

2012 ◽  
Vol 524-527 ◽  
pp. 3256-3259 ◽  
Author(s):  
Xue Jun Wang ◽  
Yi Lin Chi ◽  
Wei Li ◽  
Tao Yong Zhou
Keyword(s):  
Discrete Element Method ◽  
High Speed ◽  
Flow Simulation ◽  
Discrete Element ◽  
Random Force ◽  
Railway Ballast ◽  
Main Work ◽  
Coupling Dynamic ◽  
Significant Measure ◽  
Element Method

Abstract. Since the action of high speed train and the repeated heavy loadings, the degradation and deformation that do not restore is produced in the granular railway ballast. Tamping action is an effective method that is being used to recover the elastic of the track. In order to examine the displacement and vibration characteristics of the railway ballast particles while tamped, in this article, main work is being used to establish a coupling discrete particle flow simulation model of the railway ballast and tamping tines in EDEM with the discrete element method. The two main contents are concerned in this paper. The first is to research the modeling method of ballast particles in the software EDEM. The second is to establish a rigid-flexible coupling dynamic model of railway ballast tamping system, and according to this model, the dynamic response of the granular particles under tamping load is calculated. From a numerical simulation, we can find the effect of ballast’s vibration characteristic is related to the shape of particles in significant measure. The research shows the discrete element method is an effective method for solving the vibration problem of railway ballast of random force vibration.

scholarly journals A Simulation Model for Determining the Mechanical Properties of Rapeseed using the Discrete Element Method

2015 ◽  
Vol 59 (4) ◽  
pp. 575-582 ◽  
Author(s):  
Kornél Tamás ◽  
Bernát Földesi ◽  
János Péter Rádics ◽  
István J. Jóri ◽  
László Fenyvesi
Keyword(s):  
Mechanical Properties ◽  
Discrete Element Method ◽  
Simulation Model ◽  
Discrete Element ◽  
Element Method

Numerical Simulation of Particle Flow for High Velocity Compaction Based on Discrete Element Method

2010 ◽  
Author(s):  
Wang Shuang ◽  
Zheng Zhoushun ◽  
Zheng Shan ◽  
Jane W. Z. Lu ◽  
Andrew Y. T. Leung ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Discrete Element Method ◽  
High Velocity ◽  
Discrete Element ◽  
Particle Flow ◽  
High Velocity Compaction ◽  
Element Method

Drag reduction and wear resistance mechanisms of a bionic shovel by discrete element method simulation

SIMULATION ◽  
2018 ◽  
Vol 95 (3) ◽  
pp. 231-239 ◽  
Author(s):  
Rui Zhang ◽  
Dianlei Han ◽  
Yuan He ◽  
Haijin Wan ◽  
Songsong Ma ◽  
...  
Keyword(s):  
Discrete Element Method ◽  
Drag Reduction ◽  
High Speed ◽  
Three Dimensional ◽  
Discrete Element ◽  
Resistance Mechanisms ◽  
Fatigue Wear ◽  
Soil Particles ◽  
The Common ◽  
Element Method

The ostrich has a steady and enduring high-speed running ability. Toenails are one key part of ostrich feet and their unique morphology is crucial in insertion into sand and for traction provision. In this study, information of bionic curves was extracted through studying the toenail structure and morphology, and three-dimensional reconstruction of toenails by reverse engineering. Based on the principle of bionic engineering, a bionic shovel was designed by optimizing the traditional shovel. A shovel–soil interaction mechanical model was established via the discrete element method. The insertion into soil processes of the bionic shovel and the common plate were simulated. The dynamic mesoscopic mechanical behaviors of soil particles around the shovel surface, the contact force field, and the velocity field, as well as the forces acting on the shovel surface were analyzed. The bionic shovel outperformed the common plate in insertion. The main reason for drag reduction in the bionic shovel was the inner concave bending surface, along which the soil particles climbed, and the particle movement trend was consistent. Simulations showed stress concentrated at the tip of the shovel, which facilitated the production of fatigue wear. Therefore, the tip needs to be considered firstly during bionic shovel design in the future.

Numerical simulation of particle flow behavior in a screw conveyor using the discrete element method

Particuology ◽  
2019 ◽  
Vol 43 ◽  
pp. 137-148 ◽  
Author(s):  
Shuyan Wang ◽  
Haolong Li ◽  
Ruichao Tian ◽  
Ruichen Wang ◽  
Xu Wang ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Discrete Element Method ◽  
Flow Behavior ◽  
Discrete Element ◽  
Particle Flow ◽  
Screw Conveyor ◽  
Element Method

scholarly journals Numerical Study on Concrete Pumping Behavior via Local Flow Simulation with Discrete Element Method

Materials ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1415 ◽  
Author(s):  
Yijian Zhan ◽  
Jian Gong ◽  
Yulin Huang ◽  
Chong Shi ◽  
Zibo Zuo ◽  
...  
Keyword(s):  
Discrete Element Method ◽  
Fresh Concrete ◽  
Numerical Study ◽  
Flow Simulation ◽  
Discrete Element ◽  
Local Flow ◽  
Pumping System ◽  
Concrete Pumping ◽  
Pipe Geometry ◽  
Element Method

The use of self-consolidating concrete and advanced pumping system enables efficient construction of super high-rise buildings; however, risks such as clogging or even bursting of pipeline still exist. To better understand the fresh concrete pumping mechanisms in detail, the discrete element method is employed in this paper for the numerical simulation of local pumping problems. By modeling the coarse aggregates as rigid clumps and appropriately defining the contact models, the concrete flow in representative pipeline units is well revealed. Important factors related to the pipe geometry, aggregate geometry and pumping condition were considered during a series of parametric studies. Based on the simulation results, their impact on the local pumping performance is summarized. The present work demonstrates that the discrete element simulation offers a useful way to evaluate the influence of various parameters on the pumpability of fresh concrete.

Simulation for Silos Discharge with 2D DEM

2011 ◽  
Vol 236-238 ◽  
pp. 2721-2724
Author(s):  
Shou Yi Bi ◽  
Xing Pei Liang
Keyword(s):  
Numerical Model ◽  
Discrete Element Method ◽  
Static Pressure ◽  
Lateral Pressure ◽  
Dynamic Pressure ◽  
Discrete Element ◽  
Particle Flow ◽  
Static Equilibrium State ◽  
Good Agreement ◽  
Element Method

In this paper, using the discrete element method (PFC2D)particle flow procedure to establish a model of cylindrical silo, in the warehouse filled with particles within the reach of static equilibrium state, then the record of its wall static lateral pressure measurement value, while monitoring the measured dynamic wall pressure during the silo discharging. It was shown that the static pressure as well as the dynamic pressure simulated with the numerical model is in good agreement with the experimental results. So the discrete element method can give a new way to study dynamic question of silos.

Investigation of the Influence of Snow Track Density on Tire Tread Block Traction by Experiments and Discrete Element Method Simulation

2021 ◽  
Author(s):  
Michael Hindemith ◽  
Jonas Heidelberger ◽  
Matthias Wangenheim
Keyword(s):  
Discrete Element Method ◽  
High Speed ◽  
Discrete Element ◽  
Longitudinal Force ◽  
Track Density ◽  
Snow Density ◽  
Friction Behavior ◽  
Discrete Element Method Simulation ◽  
Snow Properties ◽  
Element Method

ABSTRACT While in nature, snow properties change from day to day or even minute by minute, one of the great advantages of lab tests is the stability and reproducibility of testing conditions. In our labs at the Institute of Dynamics and Vibration Research, Leibniz Universität Hannover, we currently run three test rigs that are able to conduct tests with tire tread blocks on snow and ice tracks [1,2]: High-Speed Linear Tester (HiLiTe) [3], Portable Friction Tester (PFT), and Reproducible Tread Block Mechanics in Lab (RepTiL). In the past years, we have run a project on the influence of snow track properties on friction and traction test results with those test rigs. In this article, we will present a first excerpt of the results concentrating on the RepTiL test rig. Because this rig reproduces the movement of rolling tire tread blocks [2], we executed a test campaign with special samples for the analysis of snow friction mechanics. We evaluated penetration into the snow, maximum longitudinal force level, and longitudinal force gradient. On the other hand, we varied the snow density while preparing our tracks to assess the influence of the snow track density on the friction mechanics. In parallel, we have accompanied our experiments with discrete element method simulations to better visualize and understand the physics behind the interaction between snow and samples. The simulation shows the distribution of induced stress within the snow tracks and resulting movement of snow particles. Hypotheses for the explanation of the friction behavior in the experiments were confirmed. Both tests and simulations showed, with good agreement, a strong influence of snow density and sample geometry.

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