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Calibration of constitutive parameters by inverse analysis for a geotechnical boundary problem

机译:通过岩土边界问题的反分析对本构参数进行标定

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摘要

The finite element method (FEM) has become a standard tool for solving complex problems in geotechnical engineering. Many different advanced constitutive models for fine-grained soils have been developed in recent years, which can consider various phenomena of soil. Generally, the number of constitutive parameters increases with phenomena incorporated in the model, and their determination is one of the key issues in numerical modeling in geotechnics. Normally, experimental data, experience, and back analyses based on engineering judgment are used to arrive at appropriate input parameters for a particular model. However, this procedure is not always satisfactory, especially when the number of required input parameters is large. In this paper, a population-based algorithm has been used to determine the constitutive parameters for a geotechnical boundary value problem, namely a floating stone column foundation under an embankment. Measurements of surface settlements and excess pore-water pressures at different depths are available for calibration. A subsequent statistical assessment of the calibration results is followed to assess the quality of the identified parameters in dependency of the different set of measurements evaluated. As a major result of this research, measures of the utility and reliability of the constitutive models for further predictive computations can be estimated.
机译:有限元方法(FEM)已成为解决岩土工程中复杂问题的标准工具。近年来,已经开发了许多不同的高级细颗粒土本构模型,可以考虑各种土现象。通常,本构参数的数量随模型中包含的现象而增加,其确定是岩土工程数值建模中的关键问题之一。通常,基于工程判断的实验数据,经验和反向分析用于得出特定模型的适当输入参数。但是,此过程并不总是令人满意的,特别是当所需输入参数的数量很大时。本文采用基于种群的算法确定岩土边值问题的本构参数,即路堤下的浮石柱基础。可以测量不同深度的表面沉降和多余的孔隙水压力,以进行校准。遵循对校准结果的后续统计评估,以根据所评估的不同测量集评估所识别参数的质量。作为这项研究的主要结果,可以估计本构模型用于进一步预测计算的效用和可靠性。

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