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本文叙述了疲劳裂纹扩展速率试验数据处理的ALGOL计算程序。 本程序有下列几个特点:用七点递增多项式法对裂纹长度a与循环数N的数据进行拟合,并对ASTM E647—78T中推荐的FORTRAN程序做了一些改进;可用Paris公式或Forman公式对紧凑拉伸试样(CT)或中心穿透试样(CCT)的数据进行处理;能按照线弹性判据自动筛选数据;对实验有效性检验,采用表征da/dN数据分散度的可变因子VF,VF=exp(4s),s为剩余标准离差;给出置信度为95%的概率分散带。 本程序计算结果,可列表打印以下参数:a,N;△K,da/dN;材料常数C,n(或m);[(1—R)K_c-△K]da/dN,△K;以及带裂纹试样的寿命估算值等等。 大量的实践表明:本文推荐的ALGOL计算程序,是处理分析疲劳裂纹扩展速率试验数据的简便而有效的好方法。
This article describes the ALGOL calculation program for fatigue crack growth rate data processing. This program has the following characteristics: The polynomial method with seven points on the crack length a and the number of cycles N data fitting, and the ASTM E647-78T FORTRAN program recommended some improvements made available Paris formula or Forman formula Processing data on Compact Tensile (CT) or Center-Tested (CCT) samples; Automatic screening of data in accordance with linear elasticity criteria; Validation of experiments using variable dA / dN data dispersion The factors VF, VF = exp (4s), s are the residual standard deviations; the probability distribution with 95% confidence is given. The program calculates the results, you can print the following list of parameters: a, N; △ K, da / dN; material constants C, n (or m); [(1-R) K_c- △ K] da / dN, As well as the life expectancy of the cracked specimen and so on. A lot of practice shows that the ALGOL calculation program recommended in this paper is a simple and effective method to deal with the experimental data of fatigue crack growth rate.