Abstract

Many design scenarios of components made of polymer materials are concerned with notches as representative constructive details. The failure hazard assessment of these components using models based on the assumption of cracked components leads to over-conservative failure estimations. Among the different alternative approaches proposed that are based on the apparent fracture toughness, is considered. In so doing, the current deterministic underlying concept must be replaced by a probabilistic one to take into account the variability observed in the failure results in order to ensure a reliable design. In this paper, an approach based on the critical distance principle is proposed for the failure assessment of notched EPOLAM 2025 CT samples with each different notch radii () including a probabilistic assessment of the failure prediction. First, each apparent fracture toughness is transformed into the equivalent fracture toughness for based on the critical distances theory. Then, once all results are normalized to the same basic conditions, a Weibull cumulative distribution function is fitted, allowing the probability of failure to be predicted for different notch radii. In this way, the total number of the specimens tested in the experimental campaign is reduced, whereas the reliability of the material characterization improves. Finally, the applicability of the proposed methodology is illustrated by an example using the own experimental campaign performed on EPOLAM 2025 CT specimens with different notch radii ().

Highlights

  • Epoxy resins are one of the most important cross-linked polymers in the family of thermosets [1,2,3]

  • Failure prediction is of interest in the practical mechanical design of real notched components made of polymers

  • The load-displacement curves from the different samples, each of them consisting of specimens with distinct notch radius, illustrate the trend of increasing failure loads for increasing notch radii, as shown in Figure 4 along with the predominant linear elastic behavior until failure

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Summary

Introduction

Epoxy resins are one of the most important cross-linked polymers in the family of thermosets [1,2,3]. New application fields are steadily emerging, such as those based on the inclusion of nano- and microparticles to develop toughened epoxy-based materials [6,7,8,9,10]. It is important to predict the failure of these components based on a reliable probabilistic assessment. Failure prediction is of interest in the practical mechanical design of real notched components made of polymers. This stimulates investigation programs to provide the systematic characterization of epoxy resins under fracture and fatigue

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