A cusp catastrophe model is presented and the necessary and sufficient conditions leading to landslides are discussed. The sliding surface is assumed to be planar and is a combination of two media: medium 1 is elastic-brittle or strain-hardening and medium 2 is strain-softening. The shear stress-strain constitutive model for the strain-softening medium is described by the Weibull's distribution law. This paper is a generalization and extension of the paper by Qin et al. (2001b), in which the shear stress-strain constitutive model for medium 2 was described by a negative exponent distribution; a special case of the Weibull's distribution law. It is found that the instability of the slope relies mainly on both the stiffness ratio of the media and the homogeneity index and that a new role of water is to enlarge the material homogeneity or brittleness and hence to reduce the stiffness ratio. A nonlinear dynamic model (also called a physical forecasting model), which is derived by considering the time-dependent behavior of the strain-softening medium, is used to study the time prediction of landslides. An algorithm of inversion on the nonlinear dynamic model is suggested for seeking the precursory abnormality and abstracting mechanical parameters from the observed series of a landslide. A case study of the Jimingsi landslide is analysed and its nonlinear dynamic model is established from the observation series of this landslide using the suggested model and the algorithm of inversion. It is found that the catastrophic characteristic index |D| shows a quick rise till reaching an extremely high peak value after the slope evolves into the tertiary creep, and subsequently approaches a zero value prior to instability, which can be regarded as an important precursory abnormality index. By taking into account the evolutionary characteristic of the slope being in the secondary creep, a simplified nonlinear dynamic model is proposed for studying the properties of bifurcation and chaos. It is shown that the emergence of chaos depends on the mechanical parameters of the sliding-surface media.
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机译:提出了一个尖叫灾难模型,并讨论了导致滑坡的必要和充分条件。假设滑动表面是平面的并且是两个介质:培养基1的组合是弹性脆或应变硬化,培养基2是应变软化。威布尔分布法描述了应变软化培养基的剪切应力 - 应变本构型模型。本文是Qin等人的概括和延伸。 (2001b),其中通过负指数分布描述了介质2的剪切应力 - 应变组成型模型;威布尔分配法的特殊情况。结果发现斜坡的不稳定性主要依赖于介质和均匀性指数的刚度比,并且水的新作用是扩大材料均匀性或脆性,从而降低刚度比。通过考虑应变软化介质的时间依赖性行为来源的非线性动态模型(也称为物理预测模型)用于研究山体滑坡的时间预测。建议在非线性动力学模型上进行反转算法,用于寻求从观察到的山滑坡中抽象的前兆异常和抽象的机械参数。分析了吉姆斯利滑坡的案例研究,利用所建议的模型和反演算法从该滑坡观测系列建立了非线性动态模型。发现灾难性特征指数| D |在斜面进化到第三蠕变后达到极高的峰值,直到达到极高的峰值,并且随后在不稳定之前接近零值,这可以被视为重要的前兆异常指标。通过考虑斜率的进化特性在二次蠕变中,提出了一种简化的非线性动态模型,用于研究分叉和混沌的性质。结果表明,混沌的出现取决于滑动表面介质的机械参数。
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