Residual stress relief effect in gradient structural steel and remaining life evaluation under stochastic fatigue loads

IF 6.8 2区 材料科学 Q1 ENGINEERING, MECHANICAL
Tianyu Qin , Feifei Hu , Pingguang Xu , Rui Zhang , Yuhua Su , Ni Ao , Zhongwen Li , Takenao Shinohara , Takahisa Shobu , Shengchuan Wu
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Abstract

The surface induction-hardened S38C medium carbon steel shows a good balance of strength and toughness, but complicates the evaluation of fatigue resistance, mainly because of gradient residual stress (RS) and grains. An integrated fatigue resistance assessment (AIFA) framework was proposed to consider the residual stress relief under stochastic loads. To this end, quasi-in situ neutron diffraction and Bragg-edge imaging were combined to probe the evolution of residual stress during crack propagation. Firstly, a rigid-flexible coupled vehicle dynamics model was adopted to obtain the time-domain variable amplitude loading spectrum. Then, Fortran subroutines were developed to assign these data into full-scale S38C axle model, and the remaining life was predicted using the damage tolerance approach. The results demonstrate that crack propagation would accelerate when residual stress is considered in the case of the crack depth exceeding 3.0 mm. It is, for the first time, found that 15 mm- and 5 mm-thickness fan-shaped specimens can retain the axial and hoop residual strain in terms of diffraction angle variation, respectively, for full-scale structural S38C steel axles. In the absence of RS, the remaining life of the axle decreases sharply from 624,800 to 51,300 km as the crack depth increases from 3.0 to 16 mm. Compared with the standard method under constant amplitude loading without residual stress relief, the present AIFA method provides the more accurate but conservative fatigue life prediction.
随机疲劳荷载下梯度结构钢残余应力消除效应及剩余寿命评估
表面感应淬火的S38C中碳钢表现出良好的强度和韧性平衡,但由于梯度残余应力(RS)和晶粒的存在,使抗疲劳性能的评定变得复杂。提出了考虑随机载荷作用下残余应力消除的综合疲劳抗力评估框架。为此,采用准原位中子衍射和bragg边缘成像相结合的方法研究了裂纹扩展过程中残余应力的演变。首先,采用刚柔耦合车辆动力学模型,得到时域变幅载荷谱;然后,开发Fortran子程序将这些数据分配到全尺寸S38C轴模型中,并使用损伤容限方法预测剩余寿命。结果表明,当裂纹深度超过3.0 mm时,考虑残余应力会加速裂纹扩展;首次发现厚度为15mm和5mm的扇形试样在全尺寸结构S38C钢轴的衍射角变化方面分别保留轴向和环向残余应变。在没有RS的情况下,随着裂纹深度从3.0 mm增加到16 mm,轴的剩余寿命从62.48万km急剧下降到5.13万km。与标准方法相比,在无残余应力消除的恒幅加载条件下,AIFA方法提供了更准确但保守的疲劳寿命预测。
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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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