高温和应变振幅对点蚀致死 E350 BR 结构钢低循环疲劳行为的影响分析

IF 5.7 2区 材料科学 Q1 ENGINEERING, MECHANICAL
Siddharth Chauhan , S. Muthulingam , Samir Chandra Roy
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引用次数: 0

摘要

高压结构钢容易因点蚀和高温而加速疲劳损伤。尽管存在不利影响,但对其低循环疲劳(LCF)行为的研究却十分有限。具体来说,缺乏对温度相关点蚀敏感性效应的分析研究,也没有考虑到与点蚀相关的材料对表面形貌特征变化和应力集中的敏感性。本研究在多种应变振幅和高温条件下,对被点蚀腐蚀的 E350 BR 结构钢进行了 LCF 试验。它开发了与温度相关的参数,如循环软化凹坑敏感系数,适合集成到现有方法中,如总循环塑性应变能量密度 (CPSED)、幂律、平均应变能量密度 (SED)、Coffin-Manson 和凹坑应力强度系数 (pit-SIF)。此外,它还提出了基于多元线性回归的预测模型,将总 CPSED 和平均 SED 与应变振幅和温度联系起来。与未腐蚀的试样相比,腐蚀试样的塑性变形更大,峰值应力、疲劳寿命和总 CPSED 均有所降低。所开发的参数与平均 SED 方法相结合,可在 ±1.5 的误差范围内预测 LCF 寿命,而幂律关系则将误差缩小到 ±1.2。此外,凹坑-SIF 方法估计的疲劳寿命误差在 ±1.5 范围内。这些发现为加强部件设计提供了重要知识,从而提高了结构的安全性、性能和耐火性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of high temperature and strain amplitude effects on low cycle fatigue behavior of pitting corroded killed E350 BR structural steel

High-tension structural steels are prone to accelerated fatigue damage from pitting corrosion and high-temperature. Despite adverse effects, research on their low cycle fatigue (LCF) behavior is limited. Specifically, studies analyzing temperature-dependent pit sensitivity effects, considering pit-related material’s susceptibility to surface topographic features variation and stress concentration are lacking. This study conducts LCF tests on pitting corroded killed E350 BR structural steel at multiple strain amplitudes and high temperatures. It develops temperature-dependent parameters, such as the cyclic softening pit sensitivity factor, suitable for integration into existing approaches like total cyclic plastic strain energy density (CPSED), power-law, average strain energy density (SED), Coffin-Manson, and pit stress intensity factor (pit-SIF). Further, it proposes multiple linear regression-based prediction models relating total CPSED and average SED with strain amplitude and temperature. Corroded specimens show higher plastic deformation and reduced peak stress, fatigue life, and total CPSED compared to uncorroded ones. The developed parameters, integrated with average SED approach, predicts LCF life within an error band of ±1.5, while power-law relationship reduces it to ±1.2. Moreover, pit-SIF approach estimates fatigue life within an error band of ±1.5. The findings provide critical knowledge for enhanced component design, leading to structural safety, performance, and fire resilience.

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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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