In-situ mechanical property identification and delamination growth prediction of laminates

IF 8.3 1区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES
Tongxiang Deng, Bo Gao, Huai Yan, Xinhao Chen, Qiang Yang, Songhe Meng
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Abstract

Accurately determining the mechanical properties of laminates and predicting their mechanical behavior are vital for structural design and reliability assessment. In this study, an identification method is proposed for simultaneously identifying in-situ elastic properties and interface properties of laminates. To alleviate the ill-posedness and improve the identification accuracy, the staged response characteristics of laminates were considered, and sensitivity analysis was used to decrease the quantity of properties being identified concurrently. Meanwhile, a multi-source information fusion strategy was adopted to improve the accuracy of property identification, which was validated through the compression experiment of open-hole laminates with delamination. The results show that the maximum deviation in property identification compared to the standard test is 5.34 %. Compared with using the single observation information, using multi-source information fusion for property identification has better accuracy in predicting structural response. Furthermore, the identified properties were employed to predict the delamination growth of the laminate. The difference between the predicted and actual delamination growth length is only 3.23 %.

Abstract Image

层合板的原位力学性能识别与分层生长预测
准确测定层合板的力学性能并预测其力学行为对结构设计和可靠性评估至关重要。本文提出了一种同时识别层合板原位弹性性能和界面性能的识别方法。为了减轻不适定性,提高识别精度,考虑了层合板的阶段响应特性,并采用灵敏度分析方法减少同时识别的性能数量。同时,采用多源信息融合策略提高了性能识别的准确性,并通过带分层的开孔层压板压缩实验进行了验证。结果表明,与标准试验相比,性能鉴定的最大偏差为5.34%。与单一观测信息相比较,采用多源信息融合进行属性识别在预测结构响应方面具有更高的准确性。此外,还利用所识别的性能来预测层合板的分层生长。预测的脱层生长长度与实际的脱层生长长度仅相差3.23%。
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来源期刊
Composites Science and Technology
Composites Science and Technology 工程技术-材料科学:复合
CiteScore
16.20
自引率
9.90%
发文量
611
审稿时长
33 days
期刊介绍: Composites Science and Technology publishes refereed original articles on the fundamental and applied science of engineering composites. The focus of this journal is on polymeric matrix composites with reinforcements/fillers ranging from nano- to macro-scale. CSTE encourages manuscripts reporting unique, innovative contributions to the physics, chemistry, materials science and applied mechanics aspects of advanced composites. Besides traditional fiber reinforced composites, novel composites with significant potential for engineering applications are encouraged.
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