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基于碳化硅的束寿命变异性数据:影响缺陷尺寸的外部现象的不足。

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

作者信息

Mazerat S, Pailler R

机构信息

Univ. Bordeaux, CNRS, CEA, SAFRAN CERAMICS, LCTS, UMR 5801, F-33600 Pessac, France.

出版信息

Data Brief. 2021 Jan 15;34:106757. doi: 10.1016/j.dib.2021.106757. eCollection 2021 Feb.

Abstract

A broad variability characterizes the lifetime of SiC-based bundles under static fatigue conditions at intermediate temperature and ambient air, challenging the accuracy of its prediction. The same is true, in a lower extend, with tensile properties, in apparent discrepancy with the bundle theory based on weakest link theory. The data presented here focus on lifetime scattering, evaluated on different fiber types (6 in total, Nicalon® or Tyranno®). It is hosted at http://dx.doi.org/10.17632/96xg3wmppf.1 and related to the research article "Static fatigue of SiC-based multifilament tows at intermediate temperature: the time to failure variability" (Mazerat et al., 2020) [1]. The insufficiency of classically invoked external and discrete bias (fiber sticking phenomenon for instance) was compared to a devoted Monte Carlo algorithm, attributing to each filament a strength (random) and a stress (homogeneous). Introduction of a stress inconsistency from tow to tow, experimentally observed through section variability, was revealed to overpass such biasing approach. This article can be referred to for the interpretation or prediction of CMC lifetime to guaranty long term performances over the broad offered application field.

摘要

在中温和环境空气中的静态疲劳条件下,碳化硅基纤维束的寿命具有广泛的变异性,这对其预测的准确性提出了挑战。在较低程度上,拉伸性能也是如此,这与基于最弱链理论的纤维束理论明显不符。这里展示的数据聚焦于寿命散射,该散射是在不同纤维类型(总共6种,Nicalon® 或 Tyranno®)上评估得到的。数据存储于 http://dx.doi.org/10.17632/96xg3wmppf.1 ,并与研究文章《中温下碳化硅基复丝束的静态疲劳:失效时间的变异性》(Mazerat等人,2020年)[1]相关。将经典引用的外部和离散偏差(例如纤维粘连现象)的不足与专门的蒙特卡洛算法进行了比较,该算法为每根丝赋予一个强度(随机)和一个应力(均匀)。通过截面变异性实验观察到的不同丝束之间的应力不一致性,被证明优于这种偏差方法。本文可用于解释或预测陶瓷基复合材料的寿命,以确保在广泛的应用领域中具有长期性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdb1/7829151/fe9841fe7dc4/gr1.jpg

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