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In Search of a Time Efficient Approach to Crack and Delamination Growth Predictions in Composites

机译:寻找一种有效的方法来预测复合材料的裂纹和分层增长

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Analysis benchmarking was used to assess the accuracy and time efficiency ofalgorithms suitable for automated delamination growth analysis. First, the FloatingNode Method (FNM) was introduced and its combination with a simple exponentialgrowth law (Paris Law) and Virtual Crack Closure technique (VCCT) was discussed.Implementation of the method into a user element (UEL) in Abaqus/Standard® wasalso presented. For the assessment of growth prediction capabilities, an existingbenchmark case based on the Double Cantilever Beam (DCB) specimen was brieflysummarized. Additionally, the development of new benchmark cases based on theMixed-Mode Bending (MMB) specimen to assess the growth prediction capabilitiesunder mixed-mode I/II conditions was discussed in detail. A comparison waspresented, in which the benchmark cases were used to assess the existing low-cyclefatigue analysis tool in Abaqus/Standard® in comparison to the FNM-VCCT fatiguegrowth analysis implementation. The low-cycle fatigue analysis tool inAbaqus/Standard® was able to yield results that were in good agreement with the DCBbenchmark example. Results for the MMB benchmark cases, however, only capturedthe trend correctly. The user element (FNM-VCCT) always yielded results that werein excellent agreement with all benchmark cases, at a fraction of the analysis time. Theability to assess the implementation of two methods in one finite element codeillustrated the value of establishing benchmark solutions.
机译:分析基准测试用于评估准确度和时间效率 适用于自动分层增长分析的算法。一,浮动 引入了节点方法(FNM),并将其与简单指数结合 讨论了生长定律(巴黎定律)和虚拟裂纹闭合技术(VCCT)。 该方法在Abaqus /Standard®中的用户元素(UEL)中的实现方式为 还介绍了。为了评估增长预测能力,现有的 简要介绍了基于双悬臂梁(DCB)标本的基准案例 总结。此外,根据 混合模式弯曲(MMB)样品以评估生长预测能力 详细讨论了在混合模式I / II条件下的情况。比较是 提出,其中基准案例用于评估现有的低周期 与FNM-VCCT疲劳相比,Abaqus /Standard®中的疲劳分析工具 增长分析的实施。中的低周​​疲劳分析工具 Abaqus /Standard®能够产生与DCB完全一致的结果 基准示例。但是,仅捕获了MMB基准案例的结果 趋势正确。用户元素(FNM-VCCT)始终产生的结果是 在短短的分析时间内就与所有基准案例达成了极佳的一致性。这 能够在一个有限元代码中评估两种方法的实现的能力 说明了建立基准解决方案的价值。

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