›› 2009, Vol. 30 ›› Issue (7): 1939-1943.
• Fundamental Theroy and Experimental Research • Previous Articles Next Articles
LIU Yong-jian
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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.
Key words: saturated sandy soil, seismic liquefaction, evaluation of liquefaction, extension set, clustering analysis
CLC Number:
LIU Yong-jian. Extension clustering prediction method for evaluation of seismic liquefaction of saturated sandy soil[J]., 2009, 30(7): 1939-1943.
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http://ytlx.whrsm.ac.cn/EN/Y2009/V30/I7/1939
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