Statistical data for the tensile properties and static fatigue of sic-based bundles

Abstract

Due to their high specific strength at elevated temperatures and resistance to oxidative environments, SiC-based fibers are of great interest for the reinforcement of ceramic matrix composites. They are however subjected to a slow crack growth (SCG) phenomenon causing their delayed failure under subcritical conditions. The testing of filaments, other than comprising handling difficulties, requires large sets of data (broadly dispersed), drawback alleviated by multifilament tow testing. The data available in the present paper correspond to a comprehensive mechanical characterization and static fatigue testing of various types of SiC-based fiber bundles. The initial non-linearity of load displacement curves were analyzed to reveal the tow structure originating from filament misalignment. Static fatigue tests were used to assess the lifetime prediction coefficients and its distribution parameters. These data may found interest for the interpretation of dispersion bundle testing can highlight under different solicitation mode. Such data are also prominent for the wealth of composite design and to guaranty long term performances over the broad application field offered.

Data on SiC-based bundle lifetime variability: The insufficiency of external phenomena affecting the flaw size

“…The stochastic character of strength ascribed to each of the N 0 filaments was repeated 1000 times to estimate the distribution parameter for virtual bundle strength. The latter were finally compared to experimental datasets from [2] ( Fig. 1 ).…”

“… ⁎ indicates the data that were offset as given in [2] . These values are duplicated from the related research article [1] .…”

“…1 was investigated. Values for higher and lower tow strength were extracted from a previous data article [2] and summarized in Table 4 . Here, again, results on Grade S and Hi-Nicalon underestimate the experience scattering, accompanied by ZMI ( Fig.…”

“…Above theories neglect a key factor: the uncertainty on the stress applied to the tow probe, affecting the crack growth kinetic. The section of a tow is indeed strongly method related and varies from probe to probe [2] , with a stress misestimation up to several hundreds of MPa [ 1 , 2 ]. As a first step, this concept was used to build endurance diagrams as shown in Fig.…”

“…5 , from t f.t and γ ( Eq. (3) ) datasets given in [2] and gather in the supplementary file ‘Distribution association.xlsx’. If the stress exponents estimated this way are globally overestimated as shown in Table 5 , the approach comprise the elegancy not invoking other variability sources (stick to the unbiased bundle model).…”