Uncertainty analysis of mechanical behavior of natural fiber composites

Autor: Mohammad Ravandi, Mohammad Noorian, Mihaela Banu
Rok vydání: 2022
Předmět:
Zdroj: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications. 236:1669-1681
ISSN: 2041-3076
1464-4207
DOI: 10.1177/14644207221079031
Popis: The natural origin of the fibers combined with random production flaws results in significant uncertainties in the properties of natural fiber-reinforced composites. A probabilistic assessment can help to characterize the uncertainties and evaluate the reliability of natural fiber composites, enabling their use in engineering designs. To this end, this study aims to analyze the uncertainties in the tensile strength and frequency response of a unidirectional flax/epoxy composite due to the actual variability of various input parameters, including the fiber material properties and manufacturing flaws. Based on the available data in the literature, the non-deterministic input variables were divided into normal and uniform variables using a statistical test. A computationally efficient response surface approach based on the polynomial chaos expansion was proposed to conduct the uncertainty analysis with multi-type uncertain variables. Moreover, the results were validated by experimental measurements and compared with the direct Monte Carlo simulation to demonstrate the accuracy and efficiency of the surrogate model.
Databáze: OpenAIRE