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MULTI-SCALE MODELING OF THE HIGH CYCLE FATIGUE BEHAVIOR OF CHOPPED AND CONTINUOUS FIBER COMPOSITES FOR THE AERONAUTICAL AND AUTOMOTIVE INDUSTRIES

机译:航空和汽车行业短纤维和连续纤维复合材料高周疲劳行为的多尺度建模

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Today, the design of high quality, light and energy efficient vehicles is crucial for success in theautomotive and aerospace industries. Optimal designs suited for this new environment can beachieved using predictive CAE and advanced material modeling tools.As composites are used more and more in load bearing applications, understanding thedevelopment of damage over their service lifetime is increasingly important. The development ofaccurate predictive CAE tools is necessary to build confidence in the ability to replace partstraditionally made from metals. Efficient fatigue analysis for metals was developed from theunderstanding of microscopic behavior (crack initiation and growth) and extended to themacroscopic level through corresponding test data (S-N curves, etc). Similarly, multi-scalemicromechanical approaches are being developed for chopped and continuous fiber reinforcedcomposite materials.This paper presents a physics-based approach to accurately predict the high cycle fatigue life ofcomposite structures implemented in the software package DIGIMAT?. This solution iselaborated from mean-field homogenization techniques to compute the fatigue life of anyanisotropic composite material, accounting for its local microstructure. A combination of S-Ncurves as well as quasi-static coupon tests yields the necessary input data for this solution. Ademonstration of the methodology will come through an analysis of the fatigue properties of ashort fiber reinforced polymer.
机译:如今,高质量,轻便和节能的车辆的设计对于成功实现汽车的成功至关重要。 汽车和航空航天工业。可以针对这种新环境优化设计 使用预测性CAE和先进的材料建模工具实现。 随着复合材料越来越多地用于承重应用中,请理解 在使用寿命内损坏的发展变得越来越重要。的发展 准确的预测性CAE工具对于建立对零件更换能力的信心是必不可少的 传统上是由金属制成的。金属的有效疲劳分析是从 对微观行为(裂纹萌生和生长)的理解,并扩展到 宏观水平通过相应的测试数据(S-N曲线等)。同样,多尺度 正在开发用于短切和连续纤维增强的微机械方法 复合材料。 本文提出了一种基于物理的方法来准确预测高循环疲劳寿命 软件包DIGIMAT?中实现的复合结构。这个解决方案是 从均值场均化技术详细阐述,以计算任何物体的疲劳寿命 各向异性复合材料,占其局部微观结构。 S-N的组合 曲线以及准静态试件测试可得出该解决方案的必要输入数据。一种 该方法的论证将通过对轮胎疲劳性能的分析来完成。 短纤维增强聚合物。

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