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A constitutive model considering friction property of geomaterials and stability analysis of borehole

机译:考虑土工材料摩擦特性和井眼稳定性分析的本构模型

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The strength and deformation properties of geomaterials are essential to estimating the cracking behavior of rock, especially for deep exploration of conventional and unconventional hydrocarbon resources. Because the geomaterials encountered in hydrocarbon exploration are generally granular friction materials formed from deposition or cementation of granular materials in natural conditions, they sustain loads by means of intergranular friction, which forms the main source of their shear strength. Therefore, the deformation and failure of friction material is governed by the friction law. A mechanical element of the friction material is modelled based on the concept that the internal friction exists in both the elastic state and the plastic state. By assuming that the friction coefficient is proportional to the strain, the friction stress is computed, and then the corresponding nonlinear elasto-plastic constitutive model of the friction material is established. Based on analysis of the internal friction effect of rock during macroscopic shear deformation, the mechanical mechanism of geomaterials' friction strength enhancement is explained. The nonlinear elasto-plastic constitutive model was used to compute the fracture and failure of a tunnel and a deep borehole. The results show that the model is effective for estimating the mechanical response of important geotechnical problems, such as the analysis of cracked rodc-mass strength, forecasting crack closure, and borehole wall collapse. (C) 2016 Elsevier B.V. All rights reserved.
机译:岩土材料的强度和变形特性对于评估岩石的开裂行为至关重要,特别是对于常规和非常规烃类资源的深度勘探而言。因为在油气勘探中遇到的土工材料通常是在自然条件下由粒状材料的沉积或胶结形成的粒状摩擦材料,所以它们通过粒间摩擦来承受载荷,而粒间摩擦是其剪切强度的主要来源。因此,摩擦材料的变形和破坏由摩擦定律控制。摩擦材料的机械元件是基于以下概念建模的:内部摩擦同时存在于弹性状态和塑性状态。通过假设摩擦系数与应变成正比,计算摩擦应力,然后建立相应的摩擦材料非线性弹塑性本构模型。在分析岩石宏观剪切变形过程中岩石内部摩擦效应的基础上,阐述了岩土材料增强摩擦强度的机理。非线性弹塑性本构模型用于计算隧道和深孔的破裂和破坏。结果表明,该模型可有效地评估重要岩土问题的力学响应,例如,分析破裂的杆体质量强度,预测裂缝的闭合性以及井壁的塌陷。 (C)2016 Elsevier B.V.保留所有权利。

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