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On characterizing spatially variable soil Young's modulus using spatial average

机译:利用空间平均值表征空间变量土壤的杨氏模量

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The purpose of this study is to investigate whether the effective Young's modulus (E-eff) for a spatial variable soil mass can be strongly correlated to any spatial average. The spatially variable Young's modulus of the soil mass is modeled as a stationary lognormal random field, and the Eeff of the soil mass is simulated by random field finite element analysis. Spatial averages are calculated from the input random field. If a strong correlation exists, it is possible to replace a random field analysis by a simpler random variable analysis. Two classes of problems are considered: a soil cube subjected to displacement-controlled compression and a footing problem. For the soil cube problem, Eeff is found to be strongly correlated to a suitable spatial average. However, for the footing problem, only the statistics (mean and standard deviation) of Eeff can be well approximated by a suitable spatial average, but the correlation is not strong. It is possible that the two classes of problems behave differently because the finite elements in the soil cube are mobilized uniformly, whereas those in the footing problem are mobilized non-uniformly. This leads to a weighted spatial average model that applies a different weight on the log modulus of each finite element over the domain being averaged. (C) 2017 Elsevier Ltd. All rights reserved.
机译:这项研究的目的是调查空间变量土壤质量的有效杨氏模量(E-eff)是否可以与任何空间平均值强相关。将土壤质量的空间变量杨氏模量建模为平稳的对数正态随机场,并通过随机场有限元分析来模拟土壤质量的Eeff。空间平均值是根据输入的随机字段计算得出的。如果存在很强的相关性,则可以用更简单的随机变量分析代替随机场分析。考虑了两类问题:受到位移控制压缩的土块和立足问题。对于土壤立方体问题,发现Eeff与适当的空间平均值高度相关。但是,对于立足点问题,只有Eeff的统计量(均值和标准差)可以通过适当的空间平均值很好地近似,但是相关性不强。这两种问题的表现方式可能不同,这是因为土块中的有限元是统一动员的,而立足问题中的有限元是动员不统一的。这导致了加权空间平均模型,该模型对平均域上的每个有限元的对数模量施加不同的权重。 (C)2017 Elsevier Ltd.保留所有权利。

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