| 饱和砂土地震液化判别的可拓聚类预测方法 |
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| 引用本文： | 刘勇健.饱和砂土地震液化判别的可拓聚类预测方法[J].岩土力学,2009,30(7):1939-1943. |
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| 作者姓名： | 刘勇健 |
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| 作者单位： | 广东工业大学,岩土工程研究所,广州,510006 |
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| 基金项目： | 广东省自然科学基金，广东省岩土工程重点学科基金 |
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| 摘 要： | 基于可拓学的物元模型和聚类分析原理，提出了饱和砂土地震液化判别的可拓聚类方法。选取地震烈度、震中距、砂层埋置深度、地下水位、标贯击数、平均粒径、不均匀系数和动剪应力比等8个影响因素，作为饱和砂土地震液化的评价因子，构建了经典域物元和节域物元。应用物元理论和可拓集合中的关联函数，建立预测模型，通过聚类分析得到饱和砂土地震液化的判别结果。实例研究表明，该模型能客观地反映砂土的液化规律，可拓聚类预测方法应用于饱和砂土地震液化判别是有效可行的。
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| 关 键 词： | 饱和砂土 地震液化 液化判别 可拓集合 聚类分析 |
| 收稿时间： | 2008-04-23 |
Extension clustering prediction method for evaluation of seismic liquefaction of saturated sandy soil |
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| LIU Yong-jian.Extension clustering prediction method for evaluation of seismic liquefaction of saturated sandy soil[J].Rock and Soil Mechanics,2009,30(7):1939-1943. |
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| Authors: | LIU Yong-jian |
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| Institution: | Institute of Geotechnical Engineering, Guangdong University of Technology, Guangzhou 510006, China |
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| Abstract: | Based on matter-element model and the classified analysis theory, an extension clustering prediction method for assessment of seismic liquefaction of saturated sandy soil is proposed. In the method, Eight influence factors on seismic liquefaction, including seismic intensity, epicenter distance, the depth of sand, groundwater level, the blow counts of standard penetration test, mean diameter, coefficient of uniformity, cyclic shear stress ratio, are adopted to establish the classical and limited matter elements, and the dependent function of matter-element and extension set is applied to establish prediction model for seismic liquefaction of saturated sandy soil. The prediction results of the grades of seismic liquefaction of saturated sandy soil can be obtained by means of clustering analysis. The results show that this model can reflect the liquefaction potential of saturated sand objectively and truly; therefore, the extension clustering prediction method is effective and feasible in evaluation of seismic liquefaction of saturated sandy soil. |
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| Keywords: | saturated sandy soil seismic liquefaction evaluation of liquefaction extension set clustering analysis |
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