GB/T 40796-2021Corrosion of metals and alloys - Guidelines for applying statistics to analysis of corrosion data (English PDF)

Foreword

This document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for Standardization Work Part 1.Structure and Drafting Rules of Standardization Documents"

Drafting.

This document uses the redrafting method to amend and adopt ISO 14802.2012 "Corrosion and Corrosion Data Analysis of Metals and Alloys and Applied Statistics

guide".

Compared with ISO 14802.2012, this document has many structural adjustments. Appendix A lists this document and ISO 14802.2012.

The structural adjustment control checklist.

Compared with ISO 14802.2012, this document has technical differences.

The set vertical single line (|) is marked, and Appendix B gives a list of corresponding technical differences, editorial changes and their reasons.

1 Scope

This document provides guidance on certain generally accepted statistical analysis methods that can be used to interpret corrosion test results.

This document applies to statistical methods that are widely accepted in corrosion testing.

This document does not include detailed calculations and methods, but considers a series of methods that have been used in corrosion tests.

Note. Appendix C gives a calculation example of the statistical analysis methods involved in the article.

2 Normative references

There are no normative references in this document.

3 Terms and definitions

There are no terms and definitions that need to be defined in this document.

4 Significance and use

Due to the influence of various factors, the corrosion test results are usually more dispersive than other types of tests, for example, a small amount of impurities can significantly affect

Affect the corrosion rate. Statistical analysis can help researchers interpret these results, especially when it is necessary to determine whether the two sets of test results are significant.

In the case of sexual differences. When the test involves multiple materials, the difficulty of the test will increase, but statistical methods can provide a reasonable solution to this problem.

Deciding method.

The combination of modern data reduction programs and computers can make it easier for people to perform complex statistical analysis on data sets. because

Therefore, statistical analysis can make it easier for researchers to determine whether there is an association between different variables, and if so, then further develop

Develop quantitative expressions related to variables.

In analyzing various quantitative results, statistical evaluation is a necessary step. This analysis can estimate the confidence interval from the measurement results.

5 Data fragmentation