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首页> 外文会议>Proceedings of the American Society for Composites Twenty-Ninth technical conference, Proceedings of the 16th US-JAPAN conference on composite materials ASTM-D30 meeting >Experimental and Numerical Determination of Notched Composite Strength
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Experimental and Numerical Determination of Notched Composite Strength

机译：缺口复合强度的实验与数值确定

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摘要

Experimental and numerical results are presented for progressive failure of centerrnnotched carbon fiber reinforced polymer (CFRP) composites having different stackingrnsequences subjected to tension loading. Autodesk Simulation Composite Analysisrn(ASCA) is used in conjunction with Abaqus to implement the processes of progressivernfailure and load redistribution failure via a user-defined material subroutine. Anrnenergy based degradation analysis was conducted to account for residual load carryingrncapability of initially damaged coupons after a failure criterion is satisfied. The failurerninitiation has been assessed using multi continuum theory (MCT) as implemented inrnASCA. Quasi-static tensile experiments are conducted in which digital imagerncorrelation (DIC) is used to extract strain field data for subsequent comparison to thernfinite element results. This quantitative comparison of strain obtained by bothrnmethods is presented for different section lines on the outer surface of the laminate asrna function of load levels. Good agreement between experimental data and progressivernfailure using the Abaqus and ASCA analyses are observed. Furthermore, fiber andrnmatrix progressive failure modes within the whole coupon at different load stages arerntracked through the state variable output generated by the subroutine. Examples ofrnsuch results are presented.
机译：实验和数值结果给出了中心缺口碳纤维增强聚合物（CFRP）复合材料在拉伸载荷作用下具有不同堆积顺序的渐进破坏。 Autodesk Simulation Composite Analysisrn（ASCA）与Abaqus结合使用，通过用户定义的材料子例程来实现渐进式故障和负载重新分配失败的过程。进行了基于能级的降级分析，以解决满足故障标准后最初损坏的试样的残余负荷承载能力。已使用rnASCA中实现的多连续性理论（MCT）评估了失效初始化。进行了准静态拉伸实验，其中使用数字图像相关（DIC）提取应变场数据，以便随后与有限元结果进行比较。通过两种方法获得的应变的定量比较显示了层压板外表面上不同截面线的载荷水平函数。使用Abaqus和ASCA分析可以观察到实验数据与进行性失败之间的良好一致性。此外，通过子程序生成的状态变量输出跟踪整个样板在不同负载阶段的光纤和矩阵渐进式故障模式。给出了此类结果的示例。

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