A novel parameter identification approach for buffer elements involving complex coupled thermo-hydro-mechanical analyses

A novel parameter identification approach for buffer elements involving complex coupled thermo-hydro-mechanical analyses
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DOI:
10.1016/j.compgeo.2016.02.005
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发表时间:
2016-06
影响因子:
5.3
通讯作者:
L. Nguyen-Tuan;T. Lahmer;M. Datcheva;E. Stoimenova;T. Schanz
L. Nguyen-Tuan;T. Lahmer;M. Datcheva;E. Stoimenova;T. Schanz
中科院分区:
工程技术2区
文献类型:
--
作者:
L. Nguyen-Tuan;T. Lahmer;M. Datcheva;E. Stoimenova;T. Schanz

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耦合热-水-力学(THM)分析包含了大量的本构参数,这需要大量的实验来确定这些参数。本研究有助于通过反分析信息丰富的实验识别耦合THM本构模型的参数。提出了一种基于迭代采样的反分析方法,该方法包括模型参数识别和对所识别的模型参数的可靠性评估。在缓冲元素的背景下获得的结果表明,敏感的参数估计一般遵循正态分布。根据参数的敏感性和样本的概率分布,我们可以提供估计参数的置信区间,从而允许对所识别的参数进行定性估计,这些参数在未来的工作中用作高风险情况下的计算预测的输入。
Coupled thermo-hydro-mechanical (THM) analyses contain a large set of constitutive parameters and this requires numerous experiments to determine these parameters. This study contributes to the identification of parameters of a coupled THM constitutive model via back analysis of information-rich experiments. An iterative sampling based back analysis approach is proposed comprising both the model parameter identification and the assessment of the reliability of identified model parameters. The results obtained in the context of buffer elements indicate that sensitive parameter estimates generally follow the normal distribution. According to the sensitivity of the parameters and the probability distribution of the samples we can provide confidence intervals for the estimated parameters and thus allow a qualitative estimation on the identified parameters which are in future work used as inputs for computational predictions in high-risk situations.