Reliability Assessment of Composite Structures with Multiple Failure Modes

Author(s):  
C.A. Conceição António ◽  
L.N. Hoffbauer
2021 ◽  
Vol 160 ◽  
pp. 107327
Author(s):  
Peng Hao ◽  
Zheng Li ◽  
Shaowei Feng ◽  
Wenyi Li ◽  
Yutian Wang ◽  
...  

2012 ◽  
Vol 46 (4) ◽  
pp. 821-833 ◽  
Author(s):  
Qing Lü ◽  
Chin Loong Chan ◽  
Bak Kong Low

2016 ◽  
Vol 106 (6) ◽  
pp. 691-698
Author(s):  
Liye ZHANG ◽  
Limin SUN ◽  
Xuedong GUO

2020 ◽  
Vol 995 ◽  
pp. 209-213
Author(s):  
Young W. Kwon

Failure analyses of laminated fibrous composite structures were conducted using the failure criteria based on a multiscale approach. The failure criteria used the stresses and strains in the fiber and matrix materials, respectively, rather than those smeared values at the lamina level. The failure modes and their respective failure criteria consist of fiber failure, matrix failure and their interface failure explicitly. In order to determine the stresses and strains at the constituent material level (i.e. fiber and matrix materials), analytical expressions were derived using a unit-cell model. This model was used for the multiscale approach for both upscaling and downscaling processes. The failure criteria are applicable to both quasi-static loading as well as dynamic loading with strain rate effects.


2005 ◽  
Vol 128 (1) ◽  
pp. 41-49
Author(s):  
Edward M. Wu ◽  
John L. Kardos

This paper focuses on the probability modeling of fiber composite strength, wherein the failure modes are dominated by fiber tensile failures. The probability model is the tri-modal local load-sharing model, which is the Phoenix-Harlow local load-sharing model with the filament failure model extended from one mode to three modes. This model results in increased efficiency in the determination of fiber statistical parameters and in lower cost when applied to (i) quality control in materials (fiber) manufacturing, (ii) materials (fiber) selection and comparison, (iii) accounting for the effect of size scaling in design, and (iv) qualification and certification of critical composite structures that are too large and expensive to test statistically. In addition, possible extensions to proof testing and time-dependent life prediction are discussed and preliminary data are presented.


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