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首页> 外文会议>Fatigue and fracture mechanics >Fatigue Crack Growth Rate Behavior of A36 Steel using ASTM Load-Reduction and Compression Precracking Test Methods
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Fatigue Crack Growth Rate Behavior of A36 Steel using ASTM Load-Reduction and Compression Precracking Test Methods

机译：使用ASTM减荷和压缩预裂试验方法的A36钢疲劳裂纹扩展速率行为

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摘要

Eccentrically-loaded single-edge crack tension, ESE(T), specimens made of A36 structural steel were tested over a wide range in stress ratios (R = 0.1 and 0.7) in laboratory air. Two test methods were used: (1) ASTM Standard E647 load-reduction method and (2) compression precracking. After compression precracking (CP), three different loading sequences were used: (1) constant amplitude (CPCA), (2) load reduction (CPLR), and (3) constant stress-intensity factor (CPCK). The crack-compliance method was used to determine that the specimens had no residual stresses; and that the effects of tensile residual stresses from compression precracking dissipated in about 2 compressive plastic-zone sizes. Agreement was found between the A36 and TC-128B steel AK-rate data tested at both low and high stress ratio (R) conditions. At R = 0.1 loading, the CPCA and CPLR tests generated lower thresholds and faster rates than using the standard ASTM load-reduction method. All load-reduction tests exhibited an accumulation of debris at the crack front near threshold conditions. A crack-closure analysis was preformed to calculate the effective stress-intensity factor range (△K_(eff))rnagainst rate using measured 1 % offset (OP1) values for all R = 0.1 tests. The △K_(eff)-rate data correlated well with the high-R results.
机译：由A36结构钢制成的偏心加载的单边缘裂纹张力ESE（T）在实验室空气中的应力比（R = 0.1和0.7）的宽范围内进行了测试。使用了两种测试方法：（1）ASTM Standard E647降低负荷的方法和（2）压缩预裂化。压缩预裂（CP）后，使用了三种不同的加载顺序：（1）恒定振幅（CPCA），（2）载荷减小（CPLR）和（3）恒定应力强度因子（CPCK）。裂纹柔度法用来确定试样没有残余应力。而且压缩预裂产生的拉伸残余应力的影响在大约2个压缩塑料区大小中消失了。在低应力比（R）和高应力比（R）条件下测试的A36和TC-128B钢的AK速率数据之间发现一致。在R = 0.1负载下，CPCA和CPLR测试产生的阈值和速率比使用标准ASTM降低负载的方法要低。所有降低负荷的测试均在接近阈值条件的裂纹前沿显示出碎屑堆积。对所有R = 0.1的测试，使用测得的1％偏移（OP1）值进行裂纹闭合分析，以计算有效应力-强度因子范围（△K_（eff））相对率。 △K_（eff）速率数据与高R结果有很好的相关性。

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