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Adaptive ground modelling in geotechnical engineering

机译:岩土工程中的自适应地面建模

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Geotechnical design depends on parameters got from field investigations. Therefore the development of subsoil models for assessing the behaviour of the subsoil has a strong influence on the reliability of geotechnical structures. The contribution deals with an adaptive improvement of soil models using geostatistical methods, demonstrated for a data set of a simplified practical example. Starting with subjective interpolations based on two data sets from a preliminary a detail investigation, the influence of additional integrated geotechnical model assumption is shown. In a next step further regionally information are integrated into the model. This given soil information are necessary to calibrate the results on any location in the field using the smoothing splines method. For a virtual machine footing the influence of the generated model precision on the dimension of an assumed square size isolated machine foundation is analysed. The uncertainties and spread of all characteristic quantities in the limit state function, an equation for determine the skew position of the footing, is taken into account. Using the Monte Carlo Simulation for uncorrelated values, the reliability of the isolated foundation is determined. Finally, the different predictions of the adaptive modelling are compared with the real soil conditions at the site.
机译:岩土工程设计取决于现场调查获得的参数。因此,用于评估地基性能的地基模型的开发对岩土结构的可靠性有很大的影响。该贡献涉及使用地统计方法对土壤模型的适应性改进,并针对简化的实际示例数据集进行了演示。从基于初步调查的两个数据集的主观插值开始,显示了其他综合岩土模型假设的影响。在下一步中,进一步将区域信息集成到模型中。该给定的土壤信息对于使用平滑样条曲线方法在现场的任何位置校准结果都是必需的。对于虚拟机立足点,分析了生成的模型精度对假定的方形孤立机器基础尺寸的影响。考虑了极限状态函数中所有特征量的不确定性和分布,该方程用于确定立脚的偏斜位置。使用不相关值的蒙特卡洛模拟,可以确定孤立地基的可靠性。最后,将自适应模型的不同预测与现场的实际土壤条件进行比较。

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