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Seismic liquefaction potential assessed by fuzzy comprehensive evaluation method

机译:用模糊综合评价法评价地震液化势

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Liquefaction of loose, saturated granular soils during earthquakes poses a major hazard in many regions of the world. The determination of liquefaction potential of soils induced by earthquake is a major concern and an essential criterion in the design process of the civil engineering structures. A large number of factors that affect the occurrence of liquefaction during earthquake exist a form of uncertainty of non-statistical nature. Fuzzy systems are used to handle uncertainty from the data that cannot be handled by classical methods. It uses the fuzzy set to represent a suitable mathematical tool for modeling of imprecision and vagueness. The pattern classification of fuzzy classifiers provides a means to extract fuzzy rules for information mining that leads to comprehensible method for knowledge extraction from various information sources. Therefore, it is necessary to handle the soil liquefaction problem in a rational framework of fuzzy set theory. This study investigates the feasibility of using fuzzy comprehensive evaluation model for predicting soil liquefaction during earthquake. In the fuzzy comprehensive evaluation model of soil liquefaction, the following factors, such as earthquake intensity, standard penetration number, mean diameter and groundwater table, are selected as the evaluating indices. The results show that the method is a useful tool to assess the potential of soil liquefaction.
机译:地震期间疏松,饱和的粒状土壤的液化在世界许多地区构成重大危害。在土木工程结构的设计过程中,地震引起的土壤液化潜能的确定是主要关注的问题,也是必不可少的标准。影响地震过程中液化发生的许多因素都存在着一种非统计性质的不确定性。模糊系统用于处理经典方法无法处理的数据不确定性。它使用模糊集来表示用于对不精确性和模糊性进行建模的合适数学工具。模糊分类器的模式分类为提取信息挖掘的模糊规则提供了一种手段,从而导致了从各种信息源中提取知识的一种易于理解的方法。因此,有必要在模糊集理论的合理框架下处理土壤液化问题。本研究探讨了使用模糊综合评价模型预测地震过程中土壤液化的可行性。在土壤液化的模糊综合评价模型中,选择了地震烈度,标准穿透数,平均直径和地下水位等因素作为评价指标。结果表明,该方法是评估土壤液化潜力的有用工具。

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