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Parameter identification for elasto-plastic modelling of unsaturated soils from pressuremeter tests by parallel modified particle swarm optimization

机译:基于并行改进粒子群算法的压力表试验非饱和土弹塑性模型参数识别

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摘要

This paper presents a methodology for the identification of parameter values in the Barcelona Basic Model (BBM) by inverse analysis of the experimental cavity pressure-cavity strain curve from pressure-meter tests in unsaturated soils. This methodology involves a high-dimensional optimization process which is particularly challenging due to the existence of a large number of local minima caused by the nonlinearity of the BBM. A novel parallel modified particle swarm optimization algorithm is utilized to minimize the difference between measured and computed values on the cavity pressure-cavity strain curve. The computed cavity pressure-cavity strain curve is obtained by using a finite element model of an unsaturated soil whose mechanical behaviour is described by the BBM. An example is presented to validate the proposed methodology making use of artificial experimental results that had been calculated by a finite element simulation of pressuremeter tests. Finally, the application to a real case is presented by showing that the proposed methodology can safely identify the values of at least six BBM parameters via inverse analysis of pressuremeter tests at different suction levels.
机译:本文通过对非饱和土壤中压力计测试的实验腔压力-腔应变曲线进行反分析,提出了一种在巴塞罗那基本模型(BBM)中识别参数值的方法。这种方法涉及高维优化过程,由于存在大量由BBM的非线性引起的局部极小值,因此该过程特别具有挑战性。利用一种新颖的并行改进的粒子群优化算法来最小化腔体压力-腔体应变曲线上的测量值与计算值之间的差异。通过使用非饱和土的有限元模型获得计算的空腔压力-空腔应变曲线,该模型的机械性能由BBM表示。提出了一个实例来验证所提出的方法,该方法利用了通过压力计测试的有限元模拟计算出的人工实验结果。最后,通过展示所提出的方法可以通过对不同吸力水平下的压力计测试进行逆分析来安全地识别至少六个BBM参数的值,从而将其应用于实际情况。

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