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A DIRECTIONAL DAMAGE CONSTITUTIVE MODEL FOR STRESS-SOFTENING IN SOLID PROPELLANT

机译:固体推进剂应力软化方向损伤本构模型

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Solid propellants are particulate composite with a light cross-linked elastomeric binder filled with a high concentration of energetic, solid aggregates. Solid propellants are often considered as highly nonlinear elastomeric materials, with elastic behavior resulted from its binder and plastic behavior from its energetic particles. The study of the micro-structure and mechanical properties of solid propellant is crucial for its design, safety evaluation, and lifetime prediction of solid fuel carriers. The constitutive model proposed for rubber-like material can often be generalized to predict the nonlinear behavior of solid propellant due to the dependency on the mechanical behavior of solid propellant on its elastomeric binder material. This paper focuses on developing a model that predicts the stress softening and strain-residual mechanism of the solid propellant. This micro-mechanical model for solid propellant was proposed based on the network evolution theory. The motivation of this study is the lack of a micro-mechanical model that can describe both the stress softening effect and strain residual in the quasi-static behavior of propellants. The simplified network-evolution model with only five parameters is a simple micro-mechanical model that captures both the stress softening effect and strain residual. Besides the simplicity and reduced fitting procedure, the model was validated against several experimental data and illustrated good agreement in small and large deformations, making the proposed model a suitable option for commercial and other applications.
机译:固体推进剂是颗粒状复合材料,具有填充具有高浓度的高能量的固体聚集体的光交联弹性体粘合剂。固体推进剂通常被认为是高度非线性弹性体材料,弹性行为由其活性颗粒的粘合剂和塑性行为产生。实体推进剂的微结构和机械性能研究对于其设计,安全评估和固体燃料载体的寿命预测至关重要。所提出的橡胶状材料的本构模型通常可以推广以预测固体推进剂的非线性行为,由于固体推进剂在其弹性体粘合剂材料上的机械性能的依赖性。本文侧重于开发一种预测固体推进剂的应力软化和菌株残留机制的模型。基于网络演化理论提出了这种用于固体推进剂的微机械模型。该研究的动机是缺乏微机械模型,可以描述推进剂的准静态行为中的应力软化效果和应变残余。简化的网络演进模型仅具有五个参数,是一种简单的微机械模型,捕获应力软化效果和应变残余。 Besides the simplicity and reduced fitting procedure, the model was validated against several experimental data and illustrated good agreement in small and large deformations, making the proposed model a suitable option for commercial and other applications.

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