Forecasting the Strength of Reinforced Polymer Composite Using Statistical Analysis Method

Engineering Mechanics 2018 : 24th International Conference : Book of Full Texts 2018
Rafal Andrzej Chatys, Mārtiņš Kleinhofs, Aleksandrs Paničs, Krzysztof Piernik

The article discusses and attempts to analyze the composite structural interrelations and anisotropic properties, using the proposed methodology for processing the population of strength data (S) and the Young's modulus (E) for the "elementary bundle of components" and the resulting composite fiber material, using the vacuum bag method. It was shown, that the methodology, based on the method of calculation (the Kolmogorov test) and the graphical method, confirms the validity of the accepted distribution for the population data set S. The modified data E, using the following methodology, as a result of not only the complexity of the structure, but also the technological parameters of the composite formation, can confirm, or not, the correctness of the accepted distribution.

Keywords
composite, mechanical properties, modeling, methodology of statistical processing
Hyperlink
http://www.engmech.cz/im/proceedings/show_p/2018/37

Chatys, R., Kleinhofs, M., Paničs, A., Piernik, K. Forecasting the Strength of Reinforced Polymer Composite Using Statistical Analysis Method. In: Engineering Mechanics 2018 : 24th International Conference : Book of Full Texts, Czech Republic, Svratka, 14-17 May, 2018. Prague: Institute of Theoretical and Applied Mechanics of the Czech Academy of Science, 2018, pp.149-152. ISBN 978-80-86246-88-8. e-ISBN 978-80-86246-91-8. ISSN 1805-8248. e-ISSN 1805-8256.

Publication language
English (en)