| 摘要: |
| [目的]探讨视电阻率、剪切波速、导热系数及比热容等指标与黄土湿陷性的关系,从中选择可用于进行黄土湿陷性预测的指标,以简化黄土湿陷性的评价方法.[方法]在湿陷性黄土场地采取试样进行视电阻率、导热系数及比热容等试验,同时在相应取土层位进行野外剪切波速测试,运用特征选择技术,通过主成分分析、CART决策树及粒子群优化等算法对测试与试验指标进行分析.[结果]视电阻率、剪切波速在众多的测试试验指标中信息量大、重要性强,与土层埋深结合可作为黄土湿陷性的预测变量.实际工程湿陷量的预测结果表明,预测值的相对误差为-9.7%.[结论]采用视电阻率、剪切波速及土层埋深预测黄土湿陷性是可行的. |
| 关键词: 黄土湿陷性 特征选择 视电阻率 剪切波速 土层埋深 |
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| 基金项目:国家自然科学基金项目(10572090);中煤能源集团公司重点科技项目(08-26) |
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| Study on the prediction of loess collapsibility based on feature selection |
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| Abstract: |
| 【Objective】 For selecting the prediction variables of loess collapsibility from the apparent resistivity,shear wave velocity,coefficient of thermal conductivity,and specific heat capacity of loess,the relationship between loess collapsibility and the indices such as apparent resistivity,wave velocity,coefficient of thermal conductivity,heat capacity were discussed.【Method】 The apparent resistivity,thermal conductivity,and heat capacity of loess samples from a collapsible site were performed.Shear wave velocity test was performed in-siut with the same depth of the loess samples.With feature selection technology,the feature(prediction variables of loess collapsibility) was selected by methods of principal component analysis,CART decision tree and so on.【Result】 The results of feature selection indicated that apparent resistivity,shear wave velocity combined with buried depth could be used as prediction variables.Through prediction of loess collapsibility with prediction variables selected in practical engineering,the result showed relative error of loess collapse settlement was -9.7%.【Conclusion】 The method of predicting loess collapsibility with apparent resistivity,shear wave velocity,and depth of collapsible soil layers is feasible. |
| Key words: loess collapsibility character selection apparent resistivity shear wave velocity depth of soil layers |
