Reliability-based minimal sample factor formulation for a corrosion damage assessment in aluminium alloy plates

Xiong, J.J., Shenoi, R.A. and Qiu, H.Y. (2005) Reliability-based minimal sample factor formulation for a corrosion damage assessment in aluminium alloy plates. The Journal of Strain Analysis for Engineering Design, 40 (8), 801-816. (doi:10.1243/030932405X31019).

Abstract

Accelerated corrosion tests and atmospheric exposure tests are conducted to investigate the corrosion performance of LY12CZ aluminium alloy. Based on the experimental data, the corrosion depth at different corrosion times is determined using a fuzzy discrimination method which follows a log-Gauss distribution. From the experimental observations, the minimal sample factor formulation and a power law function model with three parameters are presented to assess safe corrosion damage at different corrosion times and to describe the corrosion depth law with corrosion time. From the application examples of this model, it is shown that the data for corrosion depth are better defined by a three-parameter power law function shown in the figure. Statistical analysis shows a strong correlation between pit depth and observed corrosion time. Finally, the equivalent relationship between accelerated corrosion and atmospheric exposure corrosion is established.

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