当前位置: X-MOL 学术Rail. Eng. Sci. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Discrete element modelling of railway ballast performance considering particle shape and rolling resistance
Railway Engineering Science ( IF 4.4 ) Pub Date : 2020-08-27 , DOI: 10.1007/s40534-020-00216-9
Yunlong Guo , Chunfa Zhao , Valeri Markine , Can Shi , Guoqing Jing , Wanming Zhai

To simulate ballast performance accurately and efficiently, the input in discrete element models should be carefully selected, including the contact model and applied particle shape. To study the effects of the contact model and applied particle shape on the ballast performance (shear strength and deformation), the direct shear test (DST) model and the large-scale process simulation test (LPST) model were developed on the basis of two types of contact models, namely the rolling resistance linear (RRL) model and the linear contact (LC) model. Particle shapes are differentiated by clumps. A clump is a sphere assembly for one ballast particle. The results show that compared with the typical LC model, the RRL method is more efficient and realistic to predict shear strength results of ballast assemblies in DSTs. In addition, the RRL contact model can also provide accurate vertical and lateral ballast deformation under the cyclic loading in LPSTs.



中文翻译:

考虑颗粒形状和滚动阻力的铁路道ast性能离散元建模

为了准确有效地模拟镇流器性能,应谨慎选择离散单元模型中的输入,包括接触模型和应用的颗粒形状。为了研究接触模型和应用的颗粒形状对压载性能(剪切强度和变形)的影响,在两个基础上开发了直接剪切试验(DST)模型和大规模过程模拟试验(LPST)模型。接触模型的类型,即滚动阻力线性(RRL)模型和线性接触(LC)模型。颗粒形状由团块区分。团块是用于一个压载颗粒的球体组件。结果表明,与典型的LC模型相比,RRL方法​​能够更有效,更实际地预测DS​​T中道ast组件的剪切强度结果。此外,

更新日期:2020-08-28
down
wechat
bug