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Life prediction model for creep-fatigue interaction of P92 advanced grade martensitic steel

机译:P92高级马氏体钢蠕变疲劳相互作用的寿命预测模型

摘要

Creep-fatigue interaction has been identified as a possible degradation mechanism leading to failure of power plant components such as thick sections header pipe etc. During startup/shutdown processes, severe thermal gradient sets in across the thickness between the inside and outside of the component. Fluctuation of demand also results in alternation of such operation results in thermal gradient. Both the above mentioned situation leads to hold time fatigue kind of situation. P92 (9Cr-1Mo-2W) martensitic steel is widely used for the manufacturing of header pipes and is subjected to creep-fatigue loading condition. The aim behind the present study is to verify an existing unified viscoplasticity constitutive model, proposed by Choboche. This model includes combined isotropic hardening and kinematic hardening with a viscoplastic flow rule for time-dependent effects. For this study isothermal, uniaxial, fully reversed, strain controlled low cycle fatigue and stress relaxation fatigue tests at various hold time duration at maximum/minimum strain amplitude were conducted on P92 material at 600¢ªC. The P92 material in the present study has been recognized as a cyclic softening material Here the initial value of material constants associated with Chaboche model has been determined from the first cycle stress-strain data, the maximum stress evolution during tests and the stress relaxation data. Then, the initial constants need to be optimized using a least-squares optimization algorithm in order to improve the general fit of the model to experimental data.
机译:蠕变-疲劳相互作用被认为是可能导致发电厂组件(如厚壁总管等)故障的退化机制。在启动/关闭过程中,组件内部与外部之间的厚度会出现严重的热梯度。需求的波动还导致这种操作的交替导致热梯度。上述两种情况都会导致保持时间疲劳的情况。 P92(9Cr-1Mo-2W)马氏体钢被广泛用于集管的制造,并承受蠕变疲劳载荷条件。本研究的目的是验证Choboche提出的现有统一的粘塑性本构模型。该模型包括各向同性硬化和运动硬化与粘塑性流动规则的组合,以产生时间依赖的效果。对于本研究,在600°C的P92材料上,在最大/最小应变幅度的不同保持时间下,进行了等温,单轴,完全反转,应变控制的低循环疲劳和应力松弛疲劳测试。在本研究中,P92材料被认为是循环软化材料。此处,与Chaboche模型相关的材料常数的初始值是根据第一周期应力-应变数据,测试过程中的最大应力演变和应力松弛数据确定的。然后,需要使用最小二乘法优化算法来优化初始常数,以提高模型对实验数据的总体拟合度。

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    Gupta Rajeev Kumar;

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  • 年度 2014
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