Method for testing CTOD-delta resistance curve of metal

Abstract

The invention provides a method for testing a CTOD-delta a resistance curve of metal, which comprises the following steps of: performing cutting pretreatment on to-be-evaluated metal to obtain to-be-tested metal; performing a three-point bending test on the to-be-tested metal to obtain primary to-be-tested metal; performing primary curing liquid filling treatment on the crack of the primary to-be-detected metal to obtain a primary curing mold; according to the primary curing mold, primary crack tip opening displacement and primary crack length variation are determined; the three-point bending test is continuously carried out until N times of crack tip opening displacement and N times of crack length variation are obtained, and N is larger than 2; and obtaining a CTOD-delta a resistance curve of the to-be-evaluated metal according to the tip opening displacement of the N cracks and the length variation of the N cracks. The method for testing the CTOD-delta a resistance curve of the metal, provided by the invention, is simple to operate, low in cost and high in accuracy, and has a wide application prospect.

Description

technical field [0001] The invention relates to the technical field of testing the fracture mechanical properties of metal materials, in particular to a testing method for the CTOD-Δa resistance curve of metals. Background technique [0002] The R-resistance curve is a curve in which the R-resistance changes with the crack extension length, which can characterize the dynamic change process of the elastic-plastic material resistance to crack extension during the test. Using the R-resistance curve can not only judge the crack growth state of elastic-plastic materials and guide the experimental research of elastic-plastic materials, but also use the R-resistance curve to evaluate the fracture toughness of industrial pipelines and guide the application process of industrial pipelines. [0003] The methods for testing the R-resistance curve in the prior art mainly include the multi-sample method and the single-sample method. The multi-sample method needs to test more than 6 samp...

AI Technical Summary

Problems solved by technology

The multi-sample method needs to test more than 6 samples, which not only wastes materials, time and manpower, but also usually results in a large dispersion of data due to different sampling locations

The single-sample method can better avoid the defects of the multi-sample method, but the single-sample method relies too much on testing instruments and operating skills

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