基于复合参数识别和修正失效准则的波纹芯夹层汽缸失效分析方法

IF 8.3 1区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES
He Zhang , Hualin Fan
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引用次数: 0

摘要

复合材料结构对材料参数的不准确性和制造过程中的几何缺陷非常敏感,这极大地影响了极限载荷预测的准确性。提出了基于振动相关技术(VCT)参数识别的有限单元建模(FEM)方法、基于多失效理论的失效图法和基于缺陷敏感性分析的击倒因子(KDF)方法,以提高波纹芯夹层柱的极限载荷预测精度。通过识别出的力学参数对传统的复合失效准则进行了修正。采用标准复合参数时,三种方法对极限荷载的预测误差分别为50.5%、20.9%、12.14%和4.54%。考虑缺陷时,基于缺陷敏感性分析的KDF方法能给出与试验最一致的极限荷载预测结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Failure analysis methods for corrugated-core sandwich cylinders based on identified composite parameters and modified failure criteria

Failure analysis methods for corrugated-core sandwich cylinders based on identified composite parameters and modified failure criteria
Composite structures have high sensitivity to inaccuracy of material parameters and geometry imperfections from making process, which greatly affect the accuracy of the ultimate load prediction. Three methods were proposed to enhance the accuracy of the ultimate load prediction of corrugated-core sandwich cylinders, including the finite element modelling (FEM) method based on parameter identification by vibration correlation technique (VCT), the failure map method based on multi-failure theory, and the knockdown factor (KDF) method based on imperfection sensitivity analysis. Traditional composite failure criteria were modified by the identified mechanical parameters. Adopting standard composite parameters, the FEM prediction error for the ultimate load is 50.5 %, and reduced to 20.9 %, 12.14 %, and 4.54 % by these three proposed methods based on identified parameters and modified failure criteria. Considering imperfections, the KDF method based on imperfection sensitivity analysis could suggest the most consistent ultimate load prediction with the experiment.
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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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