Low cycle fatigue properties and life prediction based on plastic work of back stress in a Zr-2.5Nb alloy

IF 5.7 2区 材料科学 Q1 ENGINEERING, MECHANICAL International Journal of Fatigue Pub Date : 2024-12-02 DOI:10.1016/j.ijfatigue.2024.108748
Kangkai Song, Conghui Zhang, Wenguang Zhu, Tongguang Zhai, Xiangkang Zeng, Xuan Zhou, Zhuohang Xie, Jin Tian
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Abstract

Pressure tubes of Zr-2.5Nb alloy in Pressurized Heavy Water Reactors experience low cycle fatigue (LCF) due to cooling water flow and power fluctuations, which could be a factor destroying their structural integrity. Therefore, it is essential to systematically investigate their LCF properties and develop accurate life prediction models. Existing research primarily focuses on single-phase Zr alloys, leaving a gap in understanding the fatigue behavior and microstructural evolution of the dual-phase Zr-2.5Nb alloy. This study addressed these gaps by conducting LCF tests on the Zr-2.5Nb alloy under strain amplitudes ranging from ± 0.50 % to ± 1.5 % at room temperature. The results indicated that the cyclic response can be divided into three stages (Ⅰ, Ⅱ, Ⅲ) based on the relative number of cycles. Cyclic softening/hardening originated from microstructural changes such as dislocation sub-structure, grain rotation, and texture evolution. A novel fatigue life prediction model was proposed based on the plastic work of back stress. For non-Masing materials, this model overcame the limitations of traditional plastic strain energy models and demonstrated higher prediction accuracy. This work contributes to a more accurate prediction of fatigue life in Zr alloys and provides new insights into their fatigue behavior and microstructure evolution under LCF conditions.
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基于背应力塑性工作的Zr-2.5Nb合金低周疲劳性能及寿命预测
高压重水堆中Zr-2.5Nb合金压力管由于冷却水流量和功率波动会产生低循环疲劳,这是破坏其结构完整性的一个因素。因此,有必要系统地研究其LCF特性,建立准确的寿命预测模型。现有的研究主要集中在单相Zr合金上,对双相Zr-2.5 nb合金的疲劳行为和微观组织演变的理解还存在空白。本研究通过在室温下对Zr-2.5Nb合金进行应变幅值为±0.50%至±1.5%的LCF测试,解决了这些空白。结果表明,根据相对循环次数,循环响应可分为三个阶段(Ⅰ、Ⅱ、Ⅲ)。循环软化/硬化源于位错亚结构、晶粒旋转和织构演变等微观组织变化。提出了一种基于背应力塑性功的疲劳寿命预测模型。对于非聚能材料,该模型克服了传统塑性应变能模型的局限性,具有较高的预测精度。这项工作有助于更准确地预测Zr合金的疲劳寿命,并为LCF条件下Zr合金的疲劳行为和微观组织演变提供新的见解。
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来源期刊
International Journal of Fatigue
International Journal of Fatigue 工程技术-材料科学:综合
CiteScore
10.70
自引率
21.70%
发文量
619
审稿时长
58 days
期刊介绍: Typical subjects discussed in International Journal of Fatigue address: Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements) Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions) Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation) Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering Smart materials and structures that can sense and mitigate fatigue degradation Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.
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