Description of the fatigue behaviour of fabric-reinforced fibre-plastic composites under combined interlaminar shear and out-of-plane compressive stress

层间剪切和面外压应力联合作用下织物增强纤维塑料复合材料的疲劳行为描述

• 批准号: 450147819
• 负责人: Professor Dr.-Ing. Horst Biermann
• 金额: --
• 依托单位: Institut für Leichtbau und Kunststofftechnik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/450147819?language=en
• 关键词: Description; fatigue; behaviour; fabric; reinforced

The goal of the project is the experimental investigation of the fatigue behaviour of fabric-reinforced polymer (FRP) composites with thermoset matrix under combined interlaminar shear and out-of-plane compressive loading. On this basis, models are to be developed which will from the founda-tion for the damage-tolerant design of FRP-components in future, taking into account the specific layer architecture and arrangement in highly stresses primary structures such as fan blades in the low-pressure section of a jet engine, profiled shafts or aircraft fuselages. In order to improve understanding, scientific research will focus on the interlaminar crack growth in dependence of a superimposed constant out-of-plane compression loading and the specific fabric architecture in the appli-cation period. Therefore, a bi-axial test method will be enhanced which was developed and tested in cooperation of the applicants. Methods for the experimental determination of fracture mechanical parameters such as delamination length and stress intensity factors are developed. Algorithms of image recognition (machine learning - computer vision) and the method of linking experiment and simulation (virtual twin) are suitable for this purpose. Assuming linear-elastic fracture mechanics, cyclic energy release rates, fracture resistance curves, crack closure functions etc. will be derived from the experimental data of the cyclic tests depending on the fabric reinforcement and the stress combination. Along with the newly developed bi-axial cyclic test method, which is performed on an Instron 8800 servo-hydraulic testing machine, standardised test methods such as DCB and ENF are used for fundamental characterization of cyclic delamination growth without the influence of out-of-plane compressive loading. In addition, improved methods of CT-analysis generate detailed knowledge about the fabric architecture/arrangement of the three pre-selected plain weave fabrics. In the developed methods of multi-scale simulation this data is used to describe the fabric-specific influence on the delamination behaviour under out-of-plane compressive stress. The results of the multi-scale approach are compared with the experimentally determined data so that factors influencing delamination growth and phenomenological phenomena such as cracks jumps in a fabric-reinforced composites can be determined and separated by correlation analysis. New analysis methods from the field of machine learning are used to combine all results. Methods from the subsections of supervised and unsupervised learning such as mathematical classification, regression or grouping models are used. The goal is to generate and provide predictive crack growth laws (e.g. Paris-Erdogan) and Wöhler curves for the damage-tolerant engineering design of fabric-reinforced composites.

该项目的目的是对织物增强聚合物（FRP）组成的疲劳行为的实验研究，该组合物在联合层间剪切和平面外压缩载荷下使用热固性基质。在此基础上，将开发模型，这将从将来的FRP兼容性损伤设计的基础中，考虑到高应力的主要结构（例如喷气发动机的低压部分中的风扇叶片）中的特定层体系结构和布置，介绍了喷气发动机的低压部分。为了提高理解，科学研究将集中于叠加恒定的平面外压缩载荷和在应用期间的特定织物结构的依赖性。因此，将增强双轴测试方法，该方法是在应用程序合作中开发和测试的。开发了断裂机械参数（例如分层长度和应力强度因子）的实验测定方法。图像识别算法（机器学习 - 计算机视觉）以及链接实验和仿真的方法（虚拟双胞胎）适合此目的。假设有线性弹性断裂力学，环状能量释放速率，断裂抗性曲线，裂纹闭合功能等，将从循环测试的实验数据中得出，具体取决于织物加固和应力组合。除了新开发的双轴环状测试方法，该方法是在Instron 8800 Servo-Hydraulic Testing机上进行的，标准化的测试方法（例如DCB和ENF）用于基本表征环状分层生长，而不会影响非平面压缩载荷的影响。此外，改进的CT分析方法还产生了有关三种预选的普通编织织物的织物结构/布置的详细知识。在开发的多尺度仿真方法中，该数据用于描述面料特异性对分层行为的影响。将多尺度方法的结果与实验确定的数据进行了比较，因此可以通过相关分析来确定和分离织物增强成分中的分层生长和现象学现象（例如裂纹跳跃）。来自机器学习领域的新分析方法用于结合所有结果。使用监督和无监督学习的小节（例如数学分类，回归或分组模型）的方法。目的是为织物增强复合材料的耐受耐受性工程设计生成和提供预测性裂纹生长法（例如巴黎 - 埃尔多安）和Wöhler曲线。