Ballast crushing probability model considering the influence of particle morphology and size
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10035-024-01414-6.pdf
Reference51 articles.
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2. Indraratna, B., Ngo, T., Rujikiatkamjorn, C.: Performance of ballast influenced by deformation and degradation: laboratory testing and numerical modeling. Int. J. Geomech. 20, 04019138 (2020). https://doi.org/10.1061/(ASCE)GM.1943-5622.0001515
3. Lim, W.L., McDowell, G.R., Collop, A.C.: The application of Weibull statistics to the strength of railway ballast. Granul. Matter 6, 229–237 (2004). https://doi.org/10.1007/s10035-004-0180-z
4. Zhou, W., Yang, L., Ma, G., Chang, X., Lai, Z., Xu, K.: DEM analysis of the size effects on the behavior of crushable granular materials. Granul. Matter 18, 64 (2016). https://doi.org/10.1007/s10035-016-0656-7
5. Huang, Q.S., Zhou, W., Ma, G., Ng, T.T., Xu, K.: Experimental and numerical investigation of Weibullian behavior of grain crushing strength. Geosci. Front. 11, 401–411 (2020). https://doi.org/10.1016/j.gsf.2019.07.007
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