International Journal of Fatigue最新文献_第3页

Research on probability model and reliability of multiaxial fatigue life based on Huffman model 基于 Huffman 模型的多轴疲劳寿命概率模型与可靠性研究

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue

Pub Date : 2024-10-30 DOI: 10.1016/j.ijfatigue.2024.108675

Xiaoting Liu , Xuding Song , Wanjin Guo , Jiaming Liu , Yuanzhe Dong

Various uncertainties are widely presented in engineering problems, such as material properties, loads, geometries, etc. Research has indicated that there is a significant relationship between the dispersion of fatigue life and the material properties. Therefore, it is necessary to study the effect of the parameter distribution of the material on the uncertainty of fatigue life. However, there are very few studies involving the distribution of fatigue performance parameters {σ_f^’, ε_f^’} of materials. In this paper, a probability framework of multiaxial fatigue life prediction based on the uncertainty of material parameters {σ_f^’, ε_f^’} was established, which focuses on quantifying the distribution of material parameters {σ_f^’, ε_f^’} based on the Huffman model. Next, based on the Fatemi-Socie (FS) model and the distribution of strain life parameters {σ_f^’, ε_f^’}, the probability field of Δγ_eq/2-N curves were obtained, and experimental data were distributed around the predicted average life. In addition, a time-dependent multiaxial fatigue reliability analysis method based on the Palmgren-Miner rule and P-Δγ_eq/2-N was derived, and the reliability curves were obtained under four multiaxial loading cases.

工程问题中广泛存在各种不确定性，如材料特性、载荷、几何形状等。研究表明，疲劳寿命的分散性与材料特性之间存在显著关系。因此，有必要研究材料参数分布对疲劳寿命不确定性的影响。然而，涉及材料疲劳性能参数{σf', εf'}分布的研究很少。本文建立了基于材料参数{σf', εf'}不确定性的多轴疲劳寿命预测概率框架，重点是基于 Huffman 模型量化材料参数{σf', εf'}的分布。接着，基于 Fatemi-Socie（FS）模型和应变寿命参数 {σf', εf'} 的分布，得到了 Δγeq/2-N 曲线的概率场，实验数据分布在预测的平均寿命周围。此外，基于 Palmgren-Miner 法则和 P-Δγeq/2-N 方法，推导了与时间相关的多轴疲劳可靠性分析方法，并得到了四种多轴加载情况下的可靠性曲线。

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引用次数: 0

Improving fatigue life of a titanium alloy through coupled electromagnetic treatments 通过耦合电磁处理提高钛合金的疲劳寿命

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue

Pub Date : 2024-10-30 DOI: 10.1016/j.ijfatigue.2024.108676

Hongfei Sun , Liang Zhang , Yuan Wang , Yi Qin , Zhiqiang Xie , Lila Ashi , Ning Xu , Kunlan Huang , Jie Wang , Jigang Huang

TC11 titanium alloy is widely used in the manufacture of key components such as blades of gas turbine and aero engine because of its high specific strength and good processing performance. In the case of gas turbine or aero engine, the fatigue performance of TC11 will directly determine the life of the turbine or engine, and the surface residual stress generated on the alloy during manufacturing often affects the fatigue life of the material. In this study, a new method of coupled electromagnetic treatment (CEMT) was applied to regulate the surface residual stress of the alloy after manufacturing, so as to improve the fatigue life of the TC11. The results show that after the CEMT, the residual compressive stress in the length direction and width direction increased by 63.7% and 56.0% respectively, the fatigue life of the TC11 is increased by 39.9%. The microstructure analysis shows that after CEMT, the width of fatigue striations is significantly reduced. This paper proposes that CEMT can be used as an effective method to adjust the residual stress of materials and improve the fatigue life of titanium alloys. The research is also relevant for improvement of the fatigue life of other alloy materials.

TC11 钛合金因具有较高的比强度和良好的加工性能，被广泛应用于燃气轮机和航空发动机叶片等关键部件的制造。在燃气轮机或航空发动机中，TC11 的疲劳性能将直接决定涡轮机或发动机的寿命，而合金在制造过程中产生的表面残余应力往往会影响材料的疲劳寿命。本研究采用一种新的耦合电磁处理（CEMT）方法来调节合金制造后的表面残余应力，从而提高 TC11 的疲劳寿命。结果表明，经过 CEMT 处理后，长度方向和宽度方向的残余压应力分别增加了 63.7% 和 56.0%，TC11 的疲劳寿命提高了 39.9%。微观结构分析表明，CEMT 后，疲劳条纹的宽度明显减小。本文提出，CEMT 可以作为调整材料残余应力、提高钛合金疲劳寿命的有效方法。这项研究对提高其他合金材料的疲劳寿命也有借鉴意义。

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引用次数: 0

Research on accelerated thermal fatigue testing and life prediction of Al-Si alloy pistons under start-stop cycles 铝硅合金活塞在启停循环下的加速热疲劳测试和寿命预测研究

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue

Pub Date : 2024-10-30 DOI: 10.1016/j.ijfatigue.2024.108677

Jie Yan, Qipei Tong, Weizheng Zhang, Yanpeng Yuan, Shuang Jin, Zhenyao Guo, Haonan Zhang, Yunle Yu, Zicong Cao

As one of the most critical components in the combustion chamber of diesel engines, pistons operate under high temperature and pressure conditions for extended periods, which increases the likelihood of failures such as thermal fatigue. This paper first utilizes finite element simulation to obtain the temperature and stress field distribution of an Al-Si alloy piston under actual engine conditions. The results indicate that the throat area of the piston is the most susceptible to fatigue failure. Based on this, accelerated thermal fatigue tests were conducted to study the influence of various experimental factors on piston life, as well as to analyze the weight of each factor. Results from macroscopic and microscopic analyses of cracks using a scanning electron microscope show that fatigue cracks originate at the interface between the aluminum matrix and the detached hard particles. The cracking at the piston throat exhibits clear characteristics of ductile fracture, which is the result of cumulative fatigue damage. Therefore, from the perspective of continuum damage mechanics, it is considered to characterize the equivalent stress using the average loading rate during the loading phase and the maximum axial temperature gradient, establishing an experimental life prediction model for Al-Si alloy pistons.

作为柴油发动机燃烧室中最关键的部件之一，活塞长期在高温高压条件下工作，这增加了发生热疲劳等故障的可能性。本文首先利用有限元模拟获得了铝硅合金活塞在实际发动机工况下的温度和应力场分布。结果表明，活塞的喉部区域最容易发生疲劳失效。在此基础上，进行了加速热疲劳试验，以研究各种试验因素对活塞寿命的影响，并分析各因素的权重。使用扫描电子显微镜对裂纹进行宏观和微观分析的结果表明，疲劳裂纹起源于铝基体和分离的硬颗粒之间的界面。活塞喉部的裂纹具有明显的韧性断裂特征，是累积疲劳损伤的结果。因此，从连续损伤力学的角度出发，考虑利用加载阶段的平均加载速率和最大轴向温度梯度来表征等效应力，建立铝硅合金活塞的实验寿命预测模型。

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引用次数: 0

Short fatigue crack growth sensitivity to thermo-mechanical fatigue loading 短疲劳裂纹增长对热机械疲劳加载的敏感性

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue

Pub Date : 2024-10-29 DOI: 10.1016/j.ijfatigue.2024.108651

Nicolas Leost , Djamel Missoum-Benziane , Matthieu Rambaudon , Laurent Cameriano , François Comte , Brice Le Pannerer , Vincent Maurel

Most high-temperature components are subject to out-of-phase thermomechanical fatigue (OP-TMF), which induces crack growth at low temperatures. However, OP-TMF has been little studied in the context of short cracks. This study focuses on the experimental sensitivity of OP-TMF loading conditions playing on temperature range, gradient, and dwell time for thin sheet superalloy specimens. The material of interest is a Co-based superalloy, HA188. It is widely used in combustion chambers.

The experimental analysis is based on full-field measurements for temperature, strain and damage by infrared thermography, digital image correlation and high resolution images from 300 to 900 °C. The main conclusion is that the temperature gradient, together with the temperature amplitude, largely determines the strain amplitude and subsequent fatigue crack growth rate (FCGR) of short cracks. In situ measurements of damage and crack closure were obtained using supervised machine learning based on images. This clarifies that crack closure is only partial and that the crack network growth rate is consistent with the individual short crack growth rate. Finally, 3D finite element analysis considering realistic temperature field and strain energy based FCGR model was able to evaluate the fatigue life in this context. It is shown that the OP-TMF FCGR is very close to the FCGR of the maximum temperature of the TMF cycle due to partial crack closure.

大多数高温部件都会受到相外热机械疲劳（OP-TMF）的影响，这种疲劳会导致裂纹在低温下生长。然而，针对短裂纹的 OP-TMF 研究却很少。本研究的重点是薄板超合金试样的 OP-TMF 加载条件对温度范围、梯度和停留时间的实验敏感性。研究材料是一种钴基超级合金 HA188。实验分析基于红外热成像、数字图像相关和 300 至 900 °C 高分辨率图像对温度、应变和损伤的全场测量。主要结论是温度梯度和温度振幅在很大程度上决定了应变振幅和随后短裂纹的疲劳裂纹生长率（FCGR）。通过基于图像的监督机器学习，获得了损伤和裂纹闭合的现场测量结果。这说明裂纹闭合只是部分的，裂纹网络增长率与单个短裂纹增长率是一致的。最后，考虑到现实温度场和基于应变能的 FCGR 模型的三维有限元分析能够评估这种情况下的疲劳寿命。结果表明，由于部分裂纹闭合，OP-TMF FCGR 与 TMF 循环最高温度的 FCGR 非常接近。

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引用次数: 0

Exploration of the high-cycle fatigue properties of Al-rich interstitial free steels stabilized by Ti and Nb 探索由 Ti 和 Nb 稳定的富 Al 间隙游离钢的高循环疲劳特性

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue

Pub Date : 2024-10-28 DOI: 10.1016/j.ijfatigue.2024.108674

Benjamin Guennec , Rameez R. Tamboli , Kentaro Nagano , Takahiro Kinoshita , Noriyo Horikawa , Hiroshi Fujiwara , Basudev Bhattacharya , Suhash R. Dey

The addition of Al element is a promising method to enhance the deep drawing ability of interstitial free steels, since it favors a strong normal direction fiber texture. However, the scarcity of experimental results on the mechanical properties of such Al-rich interstitial free grades is detrimental to its potential applications in various industrial fields. In the present work, the high-cycle fatigue properties of Al-rich interstitial-free and high-strength interstitial-free steels have been investigated. Al-rich interstitial free steel presents the lowest fatigue endurance at 10⁷ cycles among the materials investigated (158 MPa), mainly driven by its coarse microstructure. Furthermore, its lower Mn concentration in comparison with high-strength interstitial-free grades provokes grain shape change mechanism, resulting in the occurrence of a transient intergranular fatigue crack propagation feature. Despite their similar microstructures and monotonic strengths, Al-rich high-strength interstitial-free grade reveals a fatigue endurance at 10⁷ cycles of 273 MPa, significantly larger than its conventional Al concentration counterpart (i.e., value of 233 MPa). This gap mainly stems from the generation of extended dislocation substructures in Al-rich grade, which tends to prevent early fatigue crack propagation.

添加铝元素是提高无间隙钢深拉拔能力的一种可行方法，因为它有利于形成强大的法向纤维纹理。然而，有关此类富铝无间隙钢种机械性能的实验结果很少，这不利于其在各工业领域的潜在应用。本研究对富铝无间隙钢和高强度无间隙钢的高循环疲劳性能进行了研究。在所研究的材料中，富铝无间隙钢在 107 个循环时的疲劳耐久性最低（158 兆帕），这主要是由其粗糙的微观结构造成的。此外，与高强度无间隙钢相比，富铝无间隙钢的锰浓度较低，这引发了晶粒形状变化机制，导致出现瞬态晶间疲劳裂纹扩展特征。尽管两者的微观结构和单调强度相似，但富铝高强度无间隙牌号在 107 次循环时的疲劳耐久性为 273 兆帕，明显高于其常规铝浓度牌号（即 233 兆帕）。这种差距主要源于富铝牌号中扩展位错子结构的产生，这种结构往往会阻止早期疲劳裂纹的扩展。

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引用次数: 0

Corrigendum to “A strain energy density design approach for large cast iron components: From microstructural analysis to multiaxial fatigue response” [Inter. J. Fatigue 175 (2023) 107824] 大型铸铁部件的应变能量密度设计方法：从微观结构分析到多轴疲劳响应" [Inter. J. Fatigue 175 (2023) 107824]

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue

Pub Date : 2024-10-24 DOI: 10.1016/j.ijfatigue.2024.108668

M. Pedranz , V. Fontanari , C. Santus , D. Lusuardi , F. Berto , M. Benedetti

引用次数: 0

Optimization and forecasting of reinforced wire ropes for tower crane by using hybrid HHO-PSO and ANN-HHO algorithms 使用混合 HHO-PSO 和 ANN-HHO 算法优化和预测塔式起重机的钢筋钢丝绳

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue

Pub Date : 2024-10-24 DOI: 10.1016/j.ijfatigue.2024.108663

Saravana Kumar Palanisamy, Manonmani Krishnaswamy

Wire rope is a vital component of every crane. Wire rope faults are related to the operation, fabrication environment, etc., and the prevalent mode of failure is fatigue. The aim of this study is to develop an advanced tower crane applicable to wire rope with integrated reinforcement. Steel wire ropes are superiorly used in several tower crane applications, but they may create certain failures such as less fatigue and wear-resistant. In this study, steel wires are strengthened by granite and Zinc oxide (ZnO) reinforcement. Two sets of wire ropes are prepared as complete and partial reinforcement of steel wire with seven strands and 15 wires. The failure tests such as hardness, wear analysis, tensile strength, and fatigue life are optimized using hybrid Harris Hawk optimization-based Particle swarm Optimization (Hybrid HHO-PSO). Besides, the experimented wire rope performances are predicted using hybrid Artificial Neural Network based HHO (Hybrid ANN-HHO). Fully reinforced wire ropes provide better performances for both experimented and optimization behaviors. This provides 1818 MPa of maximum tensile strength, 0.23 mm of minimal wear depth, and 3.38x10⁴ times better fatigue life. In the HHO-PSO optimization method, the obtained better tensile strength is 1822 MPa, wear depth is 0.66 mm, and Fatigue life is 3.57 x104 times. Besides, from the predicted outcomes, ANN-HHO provides a minimal error value than the ANN approach. The result of this study will open up different ways for the advancement of wire rope in tower crane application by improving its load bearing capacity. The outcomes from this research can be practically applicable for increasing the load bearing capacity of the tower crane without increasing the number of wires and strands in the wire rope.

钢丝绳是每台起重机的重要组成部分。钢丝绳的故障与操作、制造环境等有关，而普遍的故障模式是疲劳。本研究的目的是开发一种适用于集成加固钢丝绳的先进塔式起重机。钢丝绳在多种塔式起重机应用中都具有优越性，但可能会产生某些故障，如疲劳和耐磨性较差。本研究采用花岗岩和氧化锌（ZnO）加固钢丝绳。制备了两套钢丝绳，分别对 7 股 15 根钢丝进行了完全和部分加固。使用基于哈里斯-霍克优化的混合粒子群优化（HHO-PSO）对硬度、磨损分析、抗拉强度和疲劳寿命等失效测试进行了优化。此外，还使用基于 HHO 的混合人工神经网络（Hybrid ANN-HHO）对试验钢丝绳的性能进行了预测。无论是实验结果还是优化结果，全加固钢丝绳都具有更好的性能。其最大抗拉强度为 1818 兆帕，最小磨损深度为 0.23 毫米，疲劳寿命提高了 3.38x104 倍。在 HHO-PSO 优化方法中，抗拉强度为 1822 兆帕，磨损深度为 0.66 毫米，疲劳寿命为 3.57 x104 倍。此外，从预测结果来看，ANN-HHO 比 ANN 方法的误差值最小。这项研究的结果将为钢丝绳在塔式起重机中的应用开辟不同的途径，提高其承载能力。本研究的成果可实际用于提高塔式起重机的承载能力，而无需增加钢丝绳的钢丝和股数。

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引用次数: 0

Low-cycle fatigue properties and fracture location transition mechanism of dissimilar steel welded joints in towers of wind turbines 风力涡轮机塔架异种钢焊接接头的低循环疲劳特性和断裂位置转换机制

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue

Pub Date : 2024-10-24 DOI: 10.1016/j.ijfatigue.2024.108672

Yarong Liu , Baoming Gong , Shuo Liu , Caiyan Deng , Yangyang Zhao , Yong Liu , Weitao Hu

This study investigates the low-cycle fatigue (LCF) behavior of two types of dissimilar steel welded joints (DSWJs): AISI 1035 & S550Q and AISI 1020 & S550Q. Digital image correlation (DIC) and finite element analysis (FEA) were used to analyze the heterogeneous strain distribution. The results reveal that the location of maximum strain, which is load-dependent and related to strength mismatch, corresponds to the fracture location of the LCF specimens. Specifically, the crack initiation site shifts from the weld toe to the base metal as strain increases. Moreover, the weld reinforcement of the DSWJs significantly affects the failure site transition, introducing strain concentration at lower stress levels while enhancing deformation resistance at higher stress levels, as evidenced by DIC strain measurements and FEA. These findings highlight the importance of joint reinforcement profile, strength mismatch and external load level in designing DSWJs for wind turbine towers against LCF failure.

本研究调查了两种异种钢焊接接头（DSWJs）的低循环疲劳（LCF）行为：AISI 1035 & S550Q 和 AISI 1020 & S550Q。采用数字图像相关（DIC）和有限元分析（FEA）来分析异质应变分布。结果表明，最大应变的位置与 LCF 试样的断裂位置相对应，而最大应变的位置与载荷有关，并与强度失配相关。具体来说，随着应变的增加，裂纹起始位置从焊趾处转移到母材。此外，DSWJ 的焊接加固显著影响了断裂位置的转变，在较低应力水平上引入了应变集中，而在较高应力水平上增强了抗变形能力，这一点已被 DIC 应变测量和有限元分析所证实。这些发现突出表明，在设计用于风力涡轮机塔架的 DSWJ 以防止 LCF 失效时，接头加固轮廓、强度失配和外部载荷水平非常重要。

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引用次数: 0

Coupling physics in artificial neural network to predict the fatigue behavior of corroded steel wire 人工神经网络中的耦合物理学预测腐蚀钢丝的疲劳行为

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue

Pub Date : 2024-10-24 DOI: 10.1016/j.ijfatigue.2024.108669

Fan Yi , Huan Lei , Qingfang Lv , Yu Zhang

To accurately predict the fatigue life of corroded steel wire, the authors proposed an artificial neural network (ANN) model and a probabilistic physics-guided neural network (PPgNN) model. Factors including stress range, mean stress, and corrosion rate were considered as input features of these two neural networks. The ANN model exhibited the best prediction accuracy with a determination coefficient of 0.94; however, it cannot capture the dispersion of fatigue life. Through introduction of physics constraints, PPgNN model was able to predict the standard deviation of fatigue life. The results showed that 94.79% of the dataset was within the 95% confidence interval.

为了准确预测腐蚀钢丝的疲劳寿命，作者提出了一个人工神经网络（ANN）模型和一个概率物理引导神经网络（PPgNN）模型。应力范围、平均应力和腐蚀率等因素被视为这两个神经网络的输入特征。ANN 模型的预测精度最高，其确定系数为 0.94；但它无法捕捉疲劳寿命的分散性。通过引入物理约束，PPgNN 模型能够预测疲劳寿命的标准偏差。结果表明，94.79% 的数据集在 95% 的置信区间内。

引用次数: 0

An analytical model for predicting fatigue crack arrest and growth behavior in metal plates strengthened with unbonded prestressed reinforcing strips 预测使用无粘结预应力钢筋条加固的金属板疲劳裂纹捕捉和增长行为的分析模型

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue

Pub Date : 2024-10-24 DOI: 10.1016/j.ijfatigue.2024.108671

Wei Zhou , Lingzhen Li , Wandong Wang , Yu’e Ma

Fatigue crack arrest and life extension of metallic structures can be achieved by using prestressed strips for fatigue strengthening. However, the popularization of prestressed strengthening techniques has been limited by lack of versatile analytical methods. In this paper, an analytical method is developed for predicting the fatigue behavior of centrally cracked metal plates after being anchored with prestressed reinforcing strips, based on linear elastic fracture mechanics and the superposition method of stress intensity factors. The force transfer between reinforcing strips and metal cracked plates is modeled using the displacement compatibility principle. The finite-width correction factor for centrally cracked metal plates subjected to four-point concentrated forces is derived, allowing the model to analyze the effect of different anchorage locations on the effectiveness of strengthening. The analytical model is validated through experimental data and finite element analysis. The results show that the model is highly accurate and can be used to analyze how different anchorage locations affect fatigue reinforcement.

通过使用预应力带材进行疲劳加固，可以阻止金属结构出现疲劳裂纹并延长其寿命。然而，由于缺乏通用的分析方法，预应力加固技术的推广一直受到限制。本文基于线性弹性断裂力学和应力强度因子叠加法，开发了一种分析方法，用于预测中心开裂金属板在锚固预应力钢筋条后的疲劳行为。采用位移相容原理对加固条和金属裂纹板之间的力传递进行建模。推导出受四点集中力作用的中心开裂金属板的有限宽度修正系数，从而使模型能够分析不同锚固位置对加固效果的影响。分析模型通过实验数据和有限元分析进行了验证。结果表明，该模型非常精确，可用于分析不同锚固位置对疲劳加固的影响。

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引用次数: 0