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Reliability-based exploration: A quantitative method for evaluating and directing subsurface characterization.

机译:基于可靠性的探索:一种评估和指导地下特征的定量方法。

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摘要

A new computationally efficient method to quantitatively direct and evaluate the site exploration and characterization process was developed. This method, titled reliability-based exploration (RBE), compares the probability distribution of calculated performance to a predetermined performance goal to produce a reliability-index or probability of project success. The probability of project success is employed to evaluate the adequacy of site characterization data for a specific engineering project.; Three-dimensional engineering analyses and geologic characterization data are combined, without subjective judgment beyond acceptance of the initial subsurface model, to produce a variance in calculated performance, which is employed to quantitatively direct exploration. Variance in the calculated performance is computed through a first-order Taylor series expansion that incorporates spatially related sensitivity of the engineering analysis and spatially related uncertainty in geologic characterization data. Sensitivity of the analysis is calculated by direct derivative coding (DDC) of the three-dimensional finite element model (3-D FEM) and the meshing program. DDC allows sensitivities to be calculated with a single model run, thus eliminating the costly operation of repeatedly perturbing input variables to evaluate sensitivities. Because direct derivative modifications only effect the engineering analysis program and not the data, this programming technique for calculating sensitivities is not site or structure dependent and only needs to be undertaken once. Uncertainty in characterization data is computed through two different extrapolation approaches for comparison: kriging and conditional probability. During data extrapolation both site data and engineering judgement are incorporated into the RBE process.; The RBE method, while capable of including 3-D FEMs in general, is illustrated with several case studies where the performance measure is either total settlement or differential settlement and the uncertain characterization data are spatially varying geologic interface elevations. Settlement was selected as the performance measure because it is a fundamental geotechnical engineering issue; interface location was selected because its effect on engineering analyses is less investigated than that of soil properties.
机译:开发了一种新的计算有效的方法来定量指导和评估现场勘探和表征过程。这种名为“基于可靠性的探索(RBE)”的方法将计算的性能的概率分布与预定的性能目标进行比较,以生成可靠性指标或项目成功的概率。项目成功的可能性用于评估特定工程项目的场地特征数据的适当性。三维工程分析和地质特征数据相结合,在没有主观判断的情况下无法接受初始地下模型,从而在计算出的性能上产生差异,用于定量指导勘探。通过一阶泰勒级数展开计算计算出的性能差异,该展开将工程分析的空间相关敏感性和地质特征数据中与空间相关的不确定性结合在一起。分析的灵敏度是通过三维有限元模型(3-D FEM)的直接导数编码(DDC)和网格划分程序来计算的。 DDC允许通过一次模型运行来计算灵敏度,从而消除了反复干扰输入变量以评估灵敏度的昂贵操作。由于直接导数修改仅影响工程分析程序,而不影响数据,因此这种用于计算灵敏度的编程技术与位置或结构无关,只需执行一次即可。表征数据的不确定性通过两种不同的外推方法进行计算以进行比较:克里金法和条件概率法。在数据外推过程中,现场数据和工程判断都被纳入了RBE流程。 RBE方法虽然通常能够包括3-D FEM,但通过几个案例研究进行了说明,其中性能指标是总沉降或微分沉降,不确定的特征数据是空间变化的地质界面标高。选择沉降作为性能指标是因为它是岩土工程的基本问题;选择界面位置是因为它对工程分析的影响要比土壤性质的研究少。

著录项

  • 作者

    Graettinger, Andrew Joseph.;

  • 作者单位

    Northwestern University.;

  • 授予单位 Northwestern University.;
  • 学科 Engineering Civil.
  • 学位 Ph.D.
  • 年度 1998
  • 页码 347 p.
  • 总页数 347
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;
  • 关键词

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