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越野汽车砂地行驶通过性的试验分析 被引量:1
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作者 张宝生 王志新 +1 位作者 田万仓 安晓鹃 《吉林工业大学学报》 CSCD 1994年第3期14-20,共7页
通过越野汽车砂地行驶的正交试验,查明对应一定的使用条件,有一牵引性、燃油经济性综合效果最佳组合的行驶工况,以车辆的地百行驶效率为评价指标,最佳值可达一般行驶工况的两倍以上。其中,轮胎的气压改变,轮胎的种类,车辆的载荷... 通过越野汽车砂地行驶的正交试验,查明对应一定的使用条件,有一牵引性、燃油经济性综合效果最佳组合的行驶工况,以车辆的地百行驶效率为评价指标,最佳值可达一般行驶工况的两倍以上。其中,轮胎的气压改变,轮胎的种类,车辆的载荷状况都对其有不同程度的影响。努力提高车轮地百效率初,对越野车辆有重大意义。 展开更多
关键词 越野汽车 砂地试验 行驶工况
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Model tests on uplift capacity of double-belled pile influenced by distance between bells
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作者 SUN Tao CUI Xin-zhuang +5 位作者 SUN Yan-feng HAN Ruo-nan MA Rui-jin YANG Jun-jie WANG Yi-lin CHANG Yu-jun 《Journal of Central South University》 SCIE EI CAS CSCD 2022年第5期1630-1640,共11页
To optimize the distance between the bells in pile design,this paper reports a series of small scale tests on the uplift capacity of double belled piles embedded in dry dense sand considering different bell space rati... To optimize the distance between the bells in pile design,this paper reports a series of small scale tests on the uplift capacity of double belled piles embedded in dry dense sand considering different bell space ratios.Finite element modelling is also performed to evaluate the range of soil failure around the piles during pile uplift displacement.Test results show that when bell space ratio is 6 or 8,the uplift capacity reaches the peak value.The upper bell bears more load than the lower one for the piles with bell space ratio less than 6,while the lower bell bears more load than the upper one for the piles with bell space ratio larger than 8. 展开更多
关键词 doubled-belled pile optimized distance uplift bearing capacity model test sand foundation
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Sedimentary microfacies of the H8 member in the Su14 3D seismic test area
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作者 Zhang Yuqing Wang Zhizhang 《Mining Science and Technology》 EI CAS 2011年第2期233-237,共5页
The distribution of sedimentary microfacies in the eighth member of the Shihezi formation(the H8 member) in the Sul4 3D seismic test area was investigated.A Support Vector Machine(SVM) model was introduced for the... The distribution of sedimentary microfacies in the eighth member of the Shihezi formation(the H8 member) in the Sul4 3D seismic test area was investigated.A Support Vector Machine(SVM) model was introduced for the first time as a way of predicting sandstone thickness in the study area.The model was constructed by analysis and optimization of measured seismic attributes.The distribution of the sedimentary microfacies in the study area was determined from predicted sandstone thickness and an analysis of sedimentary characteristics of the area.The results indicate that sandstone thickness predictions in the study area using an SVM method are good.The distribution of the sedimentary microfacies in the study area has been depicted at a fine scale. 展开更多
关键词 SVM Seismic attribute Sandstone thickness Sedimentary microfacies 3D seismic test area
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