Identification of constitutive parameters of soil using an optimization strategy and statistical analysis
Identification of constitutive parameters of soil using an optimization strategy and statistical analysis
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DOI：
10.1016/j.compgeo.2012.10.002
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发表时间：
2013-04-01
影响因子：
5.3
通讯作者：
Schanz, T.
中科院分区：
文献类型：
--
作者：
Knabe, T.;Datcheva, M.;Schanz, T.
本文研究了一种通过反分析校正不同土本构模型的策略。计算了土性模型参数识别的有效性和可靠性。为了证明如何利用识别程序，结果优化对传统oedometer和排水三轴压缩试验天然Pappadai粘土。岩土工程优化问题的目的是获得一组模型参数值，提供土壤模型模拟和适当的测量之间的最佳匹配。对于参数辨识过程，选择了一种基于约束种群的算法，即粒子群优化算法。在初始步骤中分别对每个试验进行识别，然后同时对固结仪和三轴试验进行识别。采用三种不同的本构模型进行评价，并通过残差分析和参数置信区间的计算，对评价数据进行了质量评价。因此，可以估计进一步预测计算的数学模型的实用性和可靠性的标准。(C)2012爱思唯尔有限公司保留所有权利。
The paper at hand investigates a strategy to calibrate different constitutive models for soils via back analysis. The efficiency and reliability of the parameter identification for soil models is worked out. In order to demonstrate of how to utilise identification procedures, results from optimisation against conventional oedometer and drained triaxial compression tests on natural Pappadai clay are presented and discussed. The aim of geotechnical optimisation problems is to obtain a set of model parameter values that provide the best match between soil model simulations and appropriate measurements. For the parameter identification process, a constrained population-based algorithm is chosen, namely the Particle Swarm Optimiser. The identification is carried out in an initial step separately on each test and then simultaneously on oedometer and triaxial tests. The evaluation is performed employing three different constitutive models of varying complexity and number of constitutive parameters.A subsequent residual analysis and the computation of confidence intervals for the parameters provide valuable results to assess the quality of the identified parameters in correlation with the evaluated data. Therefore, criteria of the utility and reliability of the mathematical models for further prognosis computations can be estimated. (C) 2012 Elsevier Ltd. All rights reserved.