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| Content Provider | Springer Nature Link |
|---|---|
| Author | Huang, Zheng Ming Xin, Li Min |
| Copyright Year | 2016 |
| Abstract | A major obstacle to achieving reasonable strength prediction of a composite only from its constituent information is in the determination of in situ strengths of the matrix. One can measure only the original strengths of the pure matrix, on the basis of which the predicted transverse strengths of a unidirectional (UD) composite are far from reality. It is impossible to reliably measure matrix in situ strengths. This paper focuses on the correlation between in situ and original strengths. Stress concentrations in a matrix owing to the introduction of fibers are attributed to the strength variation. Once stress concentration factors (SCFs) are obtained, the matrix in situ strengths are assigned as the original counterparts divided by them. Such an SCF cannot be defined following a classical approach. All of the relevant issues associated with determining it are systematically addressed in this paper. Analytical expressions for SCFs under transverse tension, transverse compression, and transverse shear are derived. Closed-form and compact formulas for all of the uniaxial strengths of a UD composite are first presented in this paper. Their application to strength predictions of a number of typical UD composites demonstrates the correctness of these formulas. |
| Starting Page | 120 |
| Ending Page | 131 |
| Page Count | 12 |
| File Format | |
| ISSN | 05677718 |
| Journal | Acta Mechanica Sinica |
| Volume Number | 33 |
| Issue Number | 1 |
| e-ISSN | 16143116 |
| Language | English |
| Publisher | The Chinese Society of Theoretical and Applied Mechanics; Institute of Mechanics, Chinese Academy of Sciences |
| Publisher Date | 2016-11-09 |
| Publisher Place | Beijing |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Composites Strength formulas Micromechanics Stress concentration factor Matrix in situ strength Theoretical and Applied Mechanics Classical and Continuum Physics Engineering Fluid Dynamics Computational Intelligence |
| Content Type | Text |
| Resource Type | Article |
| Subject | Mechanical Engineering Computational Mechanics |
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