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断裂韧性测试数据分散性大,是断裂力学遇到的问题之一,在低温下这个问题更显突出,用概率统计分析方法处理数据是有效途径,为结构安全分析提供可靠性数据。本文对 A_3钢、16M_n 钢等延性材料在低温下的δ_c 值和 J_(IC)值做了测试研究。采用电阻应变片法确定开裂点载荷,并用相应的单试样法公式计算了δ_c和 J_(IC)值。对测试数据进行了概率统计分析,结果表明,A_3钢δ_c 值(-20C°)服从正态分布δ_c—N(0.161,0 02816Mn 钢 J_(IC)(-45℃)服从威布尔分布。本文还就温度与加载速度对低温断裂韧性的影响做了讨论。图8幅,表7个,参考文献5种。
Fractal toughness test data dispersion is one of the problems encountered in the fracture mechanics, the problem is even more prominent at low temperatures, the probability of statistical analysis of data processing is an effective way to provide reliability data for structural safety analysis. In this paper, the δ_c and J_ (IC) values of ductile materials such as A_3 steel and 16M_n steel at low temperature were tested. The strain at delamination point was determined by resistance strain gage method, and the δ_c and J_ (IC) values were calculated by the corresponding single sample method. The statistical analysis of the test data shows that δ_c value (-20C °) of A_3 obeys normal distribution δ_c-N (0.161,0 02816 Mn steel J_ (IC) (-45 ℃) obeys Weibull distribution) The effects of temperature and loading speed on the fracture toughness at low temperature are discussed. Figure 8, Table 7, and reference 5.