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| 1 | DEM Modeling of Particle Breakage in Silica Sands under One-Dimensional Compression显示文摘A Discrete Element Method(DEM) model is developed to study the particle breakage effect on the one-dimensional compression behavior of silica sands. The ‘maximum tensile stress' breakage criterion considering multiple contacts is adopted to simulate the crushing of circular particles in the DEM. The model is compared with published experimental results. Comparison between the compression curves obtained from the numerical and experimental results shows that the proposed method is very effective in studying the compression behavior of silica sands considering particle breakage. The evolution of compression curves at different stress levels is extensively studied using contact force distribution, variation of contact number and particle size distribution curve with loading. It is found that particle breakage has great impact on compression behavior of sand, particularly after the yield stress is reached and particle breakage starts.The crushing probability of particles is found to be macroscopically affected by stress level and particle size distribution curve, and microscopically related to the evolutions of contact force and coordination number. Once the soil becomes well-graded and the average coordination number is greater than 4 in two-dimension, the crushing probability of parent particles can reduce by up to5/6. It is found that the average contact force does not always increase with loading, but increases to a peak value then decreases once the soil becomes more well-graded. It is found through the loading rate sensitivity analysis that the compression behavior of sand samples in the DEM is also affected by the loading rate. Higher yield stresses are obtained at higher loading rates. | Danda Shi Lin Zheng Jianfeng Xue Jing Sun | 2016 | Acta Mechanica Solida Sinica2016，29，1： | 9 |
| 2 | Applying a bilingual model to mine e-commerce satisfaction sentiment显示文摘In recent years we have witnessed that e-commerce has become an internationalphenomenon in which sellers often need to do business with buyers who usedifferent languages. As customers, including international customers, often makepurchase decisions based on online reviews, comments and recommendationsmade by other customers, understanding the sentiment of online commentsbecomes necessary for sellers who want to provide customized recommendationsto users for a higher level of customer satisfaction. To this end, we have recentlydeveloped a bilingual model to handle both English and Chinese user commentsposted on e-commerce websites. This paper addresses several key issues includingChinese segmentation, data mining models and systematic design. An experimentin mining user satisfaction sentiment with English and Chinese online usercomments illustrates the value of our developed bilingual model. | Gongjun Yan Wu He Hui Shi Danda B.Rawat | 2014 | Journal of Management Analytics2014，1，4： | 2 |
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