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首页> 外文期刊>International Journal of Solids and Structures >Low-velocity impact predictions of composite laminates using a continuum shell based modeling approach Part b: BVID impact and compression after impact
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Low-velocity impact predictions of composite laminates using a continuum shell based modeling approach Part b: BVID impact and compression after impact

机译：基于连续体壳的建模方法的复合层压板的低速冲击预测P部分B：冲击后的BVID撞击和压缩

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摘要

In this paper, a continuum shell based finite element (FE) model is introduced to predict the impact and compressive strength after impact (CSAI) response of fiber reinforced polymer matrix composite (FRPC) laminates of various traditional and non-traditional layup orientations. The FE model predicts the impact damage in the laminate. The impact results are then directly used to predict the CSAI of the structure. The model uses in-plane progressive damage and failure modeling coupled with discrete cohesive elements to capture the necessary failure mechanisms. Enhanced Schapery Theory captures the non-linearity due to matrix micro cracking as well as macro intra-lamina matrix cracking and fiber failure. Discrete cohesive elements are implemented to capture the inter-lamina failure initiation and propagation (delaminations). The numerical predictions are compared against impact and CSAI experimental data for composite laminates of various layups. A high quality post-impact inspection using ultrasound and micro-computed tomography (microCT) scanning was utilized for detailed comparison between model results and experiments. The modeling technique was seen to be highly capable of predicting the impact response and CSAI of multiple different stacking sequences using a general mesh. (C) 2018 Elsevier Ltd. All rights reserved.
机译：在本文中，引入了基于连续的壳体的有限元（Fe）模型以预测各种传统和非传统叠层取向的纤维增强聚合物基质复合材料（FRPC）层压板的冲击（CSAI）响应后的冲击和抗压强度。 Fe模型预测层压板中的冲击损伤。然后直接使用影响结果来预测结构的CSAI。该模型采用面内逐行损坏和故障建模与离散的粘性元件耦合，以捕获必要的故障机制。增强的分类化学理论由于基质微裂纹和宏观 - 层内裂解和纤维失效而捕获非线性。实施离散的粘性元件以捕获层内突发间启动和传播（分层）。将数值预测与各种上叠层复合层压板的影响和CSAI实验数据进行比较。使用超声波和微计算机断层扫描（MicroCT）扫描的高质量冲击性检查以进行模型结果和实验的详细比较。观察到使用一般网格预测多个不同堆叠序列的影响响应和Csai的建模技术。 （c）2018年elestvier有限公司保留所有权利。

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