土的非正交塑性模型的归一化求解格式

    The Unified Calculation Formula of Non-orthogonal Elastoplastic Models for Geomaterials

    • 摘要: 岩土材料通常具有非正交变形特性,在剪切过程中应变增量矢量并不始终垂直于屈服面。该特性可以采用分数阶微分方法进行数学描述,并由此建立非正交塑性模型。本文通过定义新的塑性流动方向和加载方向得到具有普遍适用性的应力-应变关系,采用E-S方法开展不同类型的土的单元试验,并且引入带误差控制的应力积分算法,构建完整的归一化求解格式,用于快速实现土的非正交塑性模型。基于该方法,本文建立并完善了非正交状态硬化模型,采用状态硬化法则描述超固结黏土的应变软化和剪胀特性,并根据临界状态基本假定建立分数阶数和状态参量之间的联系。修正剑桥模型可以视作非正交状态硬化模型的特例。通过对比不同应力路径下模型计算结果,发现该模型能够合理的描述超固结黏土的应变软化和剪胀特性。随后采用Weald黏土的三轴试验结果做进一步验证,结果表明修正剑桥模型将明显高估超固结土样的峰值强度,带来显著误差。而非正交状态硬化模型在相同材料参数下可以得到准确的计算结果,同时能够很好的描述非正交变形特性对其力学行为的影响。本文提出的归一化求解格式具有普遍适用性,可用于快速实现不同类型的非正交塑性模型,为开展岩土有限元分析提供新的技术手段。

       

      Abstract: The deformation behavior of soil and rock materials often exhibits non-orthogonal characteristics. During shear deformation, the strain increment vector may deviate from being normal to the yield surface, necessitating advanced constitutive modeling. To address this issue, a fractional differential approach is adopted, leading to the development of a non-orthogonal elastoplastic model built upon conventional elastoplastic theory. This model introduces a novel concept of plastic flow and loading direction within a normalized formulation framework and incorporates an error-controlled stress integration algorithm to enhance computational efficiency. The proposed E-S method enables modular testing across a wide range of soil types, ensuring robustness and adaptability. Furthermore, a fractional state hardening model is formulated based on the state-dependent hardening rule, establishing an effective link between the fractional order and the critical state parameters of soils. Notably, the modified Cambridge model emerges as a special case within this generalized framework. Simulation results along various stress paths demonstrate that the fractional model successfully captures essential behaviors—such as strain softening and shear dilation—in overconsolidated clay, with validation provided through tests on Weald clay. While the modified Cambridge model tends to overestimate peak strength, resulting in some discrepancies, the fractional model consistently yields accurate predictions using the same set of parameters. By accounting for non-orthogonal deformation, the proposed model significantly enhances predictive accuracy. These findings underscore the effectiveness of the normalized fractional framework and support its potential application in future finite element analyses of geomaterials.

       

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