论文标题
使用精制的结构模型，微尺度的过程建模和纤维增强聚合物的残余应力预测
Micro-scale process modeling and residual stress prediction in fiber-reinforced polymers using refined structural models
论文作者
论文摘要
目前的工作引入了一种新型的数值方法，用于在微尺度水平上纤维增强的热固性聚合物的过程建模，该方法可用于预测固化诱导的残余应力。使用自动催化现象学模型描述了治疗动力学，并使用瞬时线性弹性本质定律来评估应力状态演化，这是治愈程度和时间的函数。所提出的方法基于从Carrera Unified公式（CUF）得出的精制结构理论。进行了一系列数值评估，以评估CUF模型在微尺度固化分析中的性能 - 考虑整洁的树脂，单纤维重复单元和具有20个随机分布纤维的代表性体积元件。将CUF预测与参考3D有限元（3D-FE）模型进行比较，证明了应力分析中本方法的准确性。还表明，CUF模型比基于常规3D-FE的模型更快，结果的准确性相似。
The present work introduces a novel numerical approach for the process modeling of fiber-reinforced thermoset polymers at the micro-scale level, that can be used to predict curing-induced residual stresses. The cure kinetics is described using an auto-catalytic phenomenological model and an instantaneous linear-elastic constitutive law is used to evaluate the stress state evolution as a function of the degree of cure and time. The proposed method is based on refined structural theories derived from the Carrera Unified Formulation (CUF). A series of numerical assessments is carried out to evaluate the performance of CUF models in micro-scale curing analysis - considering neat resin, a single-fiber repeating unit cell, and a representative volume element with 20 randomly distributed fibers. Comparing the CUF predictions with reference 3D finite element (3D-FE) models demonstrates the accuracy of the present approach in stress analysis. It is also shown that CUF models are an order-of-magnitude faster than those based on conventional 3D-FE, for similar accuracy of results.
