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排水刚性桩处置可液化倾斜场地的振动台试验研究?
引用本文:陈志雄,潘小东,陈育民,杨鹏,陈强,吴琪,黄浩.排水刚性桩处置可液化倾斜场地的振动台试验研究?[J].防灾减灾工程学报,2021(1):12-20.
作者姓名:陈志雄  潘小东  陈育民  杨鹏  陈强  吴琪  黄浩
作者单位:国网物资有限公司,北京市 100120
基金项目:国家自然科学基金项目(51778092,51879090)、重庆大学山地城镇建设与新技术教育部重点实验室开放课题“排水刚性桩处治可液化地基的模型试验研究”(2017)资助
摘    要:排水刚性桩将竖向排水体和刚性桩相结合,是一种有效的地基抗液化处理措施。但目前对排水刚性桩在可液化倾斜场地中抗液化侧向变形的性能研究还比较缺乏,制约了其推广与应用。通过振动台试验,开展了可液化倾斜场地中排水刚性桩和普通刚性桩的对比研究,从土体内部动孔压响应、液化土体的流动性质、桩顶水平位移等角度研究了排水刚性桩对可液化倾斜场地的处理效果,并考虑了群桩布置形式的影响。结果表明,排水刚性桩是一种有效的加固可液化倾斜场地的处理措施,可以较好的限制液化土体侧向变形;相同群桩布置形式下,排水刚性桩限制土体流动变形效果优于普通刚性桩,且这种限制效果在坡顶位置更为明显;对于普通刚性桩,群桩梅花形布置形式相对于正方形布置形式能更好的阻止液化土体的流动变形,而对于排水刚性桩,群桩布置形式影响较小。

关 键 词:排水刚性桩  振动台试验  液化  可液化倾斜场地  侧向变形

A bidding procurement forecasting model on basis of linear regression and MLP neural network
Chen Zhixiong,Pan Xiaodong,Chen Yumin,Yang Peng,Chen Qiang,Wu Qi,Huang Hao.A bidding procurement forecasting model on basis of linear regression and MLP neural network[J].Journal of Disaster Prevent and Mitigation Eng,2021(1):12-20.
Authors:Chen Zhixiong  Pan Xiaodong  Chen Yumin  Yang Peng  Chen Qiang  Wu Qi  Huang Hao
Institution:State Grid Materials Co., Ltd., Beijing 100120 , China
Abstract:The mechanism and function pattern of linear regression and multi-layer perceptron(MLP) neural network were discussed. These two models were built by SPSS software on basis of actual statis- tics to forecast the bid price. The mean relative error and standard error were introduced to compare the prediction accuracy of the two models through an example of bidding and procurement. The results show that the product prices and raw materials prices of the transformation equipments roughly appear liner relation, the forcasting precision of the two models has no obvious difference, which both have certain reference value in the practical application of bidding procurement price prediction.
Keywords:rigid-drainage pile  shaking table test  liquefaction  liquefiable sloping ground  lateral displacement
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