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Soil-structure interaction: A neural-fuzzy model to deal with uncertainties in footing settlement prediction

机译:土壤结构相互作用:一种神经模糊模型,以应对基于基于基于沉降预测的不确定性

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摘要

Engineers have always been aware of uncertainties in soil - structure interaction problems, related to soil inherent variability, site conditions, construction tolerance, failure mechanisms, in particular when the structure is founded in granular soils. Geotechnical and structure design deal with these uncertainty by heuristic and expertise knowledge using input data that fall in the category of non statistical uncertainties. This paper is devoted to the description of a Neuro-Fuzzy method to predict foundation settlements in granular soils and their effects on the structure response. The learning process analyses over 200 record of settlement of building foundations, tanks and embankments on sand and gravel. Uncertainties and vagueness into parameters of in situ tests, boundary conditions and external loads have been introduced as fuzzy numbers to be later reflected in the soil-foundation-superstructure system response.
机译:工程师始终意识到土壤结构相互作用问题的不确定性,与土壤固有的可变性,现场条件,结构公差,失效机制有关,特别是当结构在粒状土壤中成立时。岩土和结构设计通过使用落在非统计不确定性类别的输入数据的启发式和专业知识来处理这些不确定性。本文致力于对神经模糊方法的描述预测粒状土壤的基础沉降及其对结构反应的影响。学习过程分析了沙子和砾石上的建筑基础,坦克和堤防结算的200多条记录。已经引入了原位测试,边界条件和外部负荷参数的不确定因素和含量,以后被引入到后来反映在土基础上层建筑系统响应中的模糊数。

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