Comparison of experimental and numerical fatigue life of austenitic stainless steel components at 300 °C with idealized and scanned weld geometries

IF 6.8 2区 材料科学 Q1 ENGINEERING, MECHANICAL International Journal of Fatigue Pub Date : 2025-02-10 DOI:10.1016/j.ijfatigue.2025.108873
Georg Veile , Julius Lotz , Jürgen Rudolph , Elen Regitz , Marek Smaga , Stefan Weihe , Tilmann Beck
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Abstract

Accurately predicting the fatigue life of welded components remains a challenging task. This work compares different geometric approaches, such as scanned or idealised weld geometries, using energy-based and strain-based fatigue damage parameters. Gradient effects have also been successfully considered and investigated. In addition to the analytical calculation using the damage parameters, the fatigue life prediction is based on elastic–plastic material models of the base materials and the weld metal, which have been implemented in the numerical simulation. The material models are based on data determined by testing unnotched specimen in LCF, HCF and VHCF regime. This work answers the question of how accurate the fatigue life prediction of welded components can be without assuming material model parameters, retrospective adaptation of the material model or the fatigue life curves. Furthermore, an improved methodology is presented to reduce conservatism without reducing safety compared to conventional guidelines. The use of the fictitious 1 mm radius gave reliable results (Mdn. of log. deviation 0.418) with low scatter (SD. 0.174) in the LCF, HCF regime and over 2·106 cycles. On the other hand, the implementation of the real weld geometry increased the scatter of the results (SD. 0.38), but remained within an acceptable range for the more performant fatigue damage parameters presented in this work (Mdn. of log. deviation −0.15). Locations of crack initiation could be predicted, at 11 out of 13 specimens with failure, using the numerical simulation of the scanned weld geometry.
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奥氏体不锈钢部件在300°C下的理想焊接几何形状和扫描焊接几何形状的实验和数值疲劳寿命比较
准确预测焊接构件的疲劳寿命是一项具有挑战性的任务。这项工作比较了不同的几何方法,例如扫描或理想的焊缝几何形状,使用基于能量和基于应变的疲劳损伤参数。梯度效应也得到了成功的考虑和研究。除了利用损伤参数进行解析计算外,疲劳寿命预测还基于母材和焊缝金属的弹塑性材料模型,并已在数值模拟中实现。材料模型是基于在LCF、HCF和VHCF状态下测试无缺口试样所确定的数据。这项工作回答了在没有假设材料模型参数、材料模型的回顾性适应或疲劳寿命曲线的情况下,焊接部件的疲劳寿命预测有多准确的问题。此外,提出了一种改进的方法,以减少保守性,而不降低安全性相比,传统的指导方针。使用虚构的1毫米半径给出了可靠的结果(Mdn)。的日志。偏差0.418),低散射(SD。在LCF、HCF和超过2.106个周期的情况下,0.174)。另一方面,真实焊缝几何形状的实现增加了结果的离散性(SD)。0.38),但对于本工作中提出的更高性能的疲劳损伤参数,仍在可接受的范围内(Mdn。的日志。偏差−0.15)。利用扫描焊缝几何形状的数值模拟,可以预测13个失效试样中11个的裂纹起裂位置。
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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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