A reduced simulation applied to viscoelastic fatigue of polymers using a time multi-scale approach based on Partition of Unity method

Sebastian Rodriguez, Angelo Pasquale, Jad Mounayer, Diego Canales, Marianne Beringhier, Chady Ghnatios, Amine Ammar, Francisco Chinesta
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Abstract

The simulation of viscoelastic time-evolution problems described by a large number of internal variables and with a large spectrum of relaxation times requires high computational resources for their resolution. Furthermore, the internal variables evolution is described by a set of linear differential equations which involves many time scales. In this context, the use of a space-time PGD approximation is proposed here to boost their resolution, where the temporal functions are constructed following a multi-scale strategy along with the Partition of Unity method, in order to catch each dynamic efficiently. The feasibility and the robustness of the method are discussed in the case of a polymer in a non-equilibrium state under cyclic loading.
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使用基于统一分割法的时间多尺度方法,对聚合物的粘弹性疲劳进行简化模拟
粘弹性时间演化问题由大量内部变量和大量弛豫时间谱描述,模拟这些问题需要大量计算资源来解决。此外,内部变量的演变是由一组线性微分方程描述的,涉及许多时间尺度。在这种情况下,本文提出使用空间时间 PGD 近似来提高其分辨率,其中的时间函数是根据多尺度策略和统一分割法构建的,以便有效地捕捉每个动态。
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