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).

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Original Publication URL: http://dx.doi.org/10.1243/030932405X31019

Description/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.

Item Type: Article
ISSNs: 0309-3247 (print)
Related URLs:
Keywords: corrosion damage, minimal sample, corrosion depth, accelerated corrosion, atmospheric exposure corrosion
Subjects: T Technology > T Technology (General)
Divisions: University Structure - Pre August 2011 > School of Engineering Sciences
ePrint ID: 23669
Date Deposited: 17 Mar 2006
Last Modified: 27 Mar 2014 18:12
Contact Email Address: R.A.Shenoi@ship.soton.ac.uk
URI: http://eprints.soton.ac.uk/id/eprint/23669

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