首页> 外文会议>International workshop on environmental damage in structural materials under static load/cyclic loads at ambient temperatures 2016 >NUMERICAL AND THEORETICAL MODELS TO PREDICT FATIGUE LIFE IN AGGRESSIVE ENVIRONMENTS FROM EXPERIMENTAL DATA
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NUMERICAL AND THEORETICAL MODELS TO PREDICT FATIGUE LIFE IN AGGRESSIVE ENVIRONMENTS FROM EXPERIMENTAL DATA

机译:从实验数据预测聚合环境疲劳寿命的数值和理论模型

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Corrosion fatigue produce sensible effects in the fracture mechanics of structural materials. Aggressive environments in presence of dynamic fatigue load are indeed responsible of multiple effects, regarding crack nucleation and propagation rates. Considering Ti-6AI-4V in air, inert paraffin oil and 3.5 wt.% NaCI mixture, environmental effects are sensible in terms of acceleration of Fatigue Crack Growth Rate - i.e. da/d/V vs. stress intensity factor AK. Several literature studies dealt with the topic in the past years. However, research has been focused mainly on the FCGR description, and the prediction of number of cycles to failure in aggressive environments is not addressed. In the presented poster, a methodology to obtain a numeric model which reconstruct da/d/V vs ΔK from experimental results, including crack length and applied stress, is presented and compared against literature data. Results are related to R = 0.1 axial test involving smooth and notched flat dogbone specimens, with varying notch radius. The proposed model is used to reconstruct the number of cycles to failure of the tested specimens, resulting in a satisfactory correlation with experimental data. Comparison with other literature models highlights the necessity to develop a proper numerical model with each test case.
机译:腐蚀疲劳对结构材料的断裂力学产生明显影响。在存在动态疲劳载荷的恶劣环境中,确实会造成多种影响,涉及裂纹的形核和扩展速率。考虑到空气中的Ti-6Al-4V,惰性石蜡油和3.5 wt。%的NaCl混合物,就加速疲劳裂纹扩展速率-da / d / V与应力强度因子AK而言,环境影响是合理的。在过去的几年中,有关这一主题的文献研究很多。但是,研究主要集中在FCGR的描述上,并且未解决在侵蚀性环境中失效的周期数的预测。在所展示的海报中,提出了一种用于获得数值模型的方法,该方法可以从包括裂纹长度和施加应力在内的实验结果中重建da / d / V vsΔK,并与文献数据进行比较。结果与R = 0.1轴向测试有关,该测试涉及光滑且有缺口的扁平狗骨标本,且缺口半径不同。所提出的模型用于重建测试样品破坏的循环次数,从而与实验数据具有令人满意的相关性。与其他文献模型的比较凸显了针对每个测试用例开发适当的数值模型的必要性。

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