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Title | Prediction ability analysis of phenomenological strength criteria for composites |
Authors |
Huang, T.
|
ORCID | |
Keywords |
composite materials tensile compression test failure envelope strength prediction |
Type | Article |
Date of Issue | 2024 |
URI | https://essuir.sumdu.edu.ua/handle/123456789/95010 |
Publisher | Sumy State University |
License | Creative Commons Attribution - NonCommercial 4.0 International |
Citation | Huang T. (2024). Prediction ability analysis of phenomenological strength criteria for composites. Journal of Engineering Sciences (Ukraine), Vol. 11(1), pp. D54–D65. https://doi.org/10.21272/jes.2024.11(1).d7 |
Abstract |
The article examines and assesses the phenomenological strength theory of composite materials. A
comparative analysis of the theoretical envelopes was conducted for each criterion. A unified form of the
phenomenological strength criterion was established. The study specifically examined the effects of altering the
interaction parameter on the Tsai-Wu criterion’s theoretical envelope. Based on the available experimental data, the
study plotted the failure envelopes of each strength criterion under planar composite stress states. The variation of these
envelopes across various stress quadrants was highlighted. As a result of the examinations, four typical
phenomenological strength criteria were chosen. The composites’ off-axis tensile and biaxial loading test data were
used to evaluate the predictive power objectively. The results showed that not all stress states’ test results agreed with
the predictions of the phenomenological strength theory. The criterion proposed by Norris and Tsai-Hill performed
better at accounting for the material’s different compressive and tensile characteristics. The other criteria tended to be
conservative under particular circumstances. Simultaneously, the Hoffman criterion matched the test data more closely
over a broader range of stress states. Overall, this study clarified the limitations and applicability of various strength
criteria in composite material strength prediction. |
Appears in Collections: |
Journal of Engineering Sciences / Журнал інженерних наук |
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File | Size | Format | Downloads |
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Huang_jes_1_2024.pdf | 2.37 MB | Adobe PDF | 1775 |
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