Low cycle fatigue evaluation of welded structures with arbitrary stress-strain curve considering stress triaxiality effect

Pei, Xianjun; Li, Xiangwei; Zhao, Shangchao; Dong, Ping; Liu, Xiaochao; Xie, Mingjiang

doi:10.1016/j.ijfatigue.2022.106969

Cited by 16 publications

(5 citation statements)

References 60 publications

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“…We tested six types of cover plate lap and butt joints made from T4003 stainless steel and Q450 steel with a stress ratio of

R = 0

under load‐controlled conditions. The tests were performed with a 250 kN 8802 Instron® testing machine 49 (Figure 11J). The griping/clamping distance was 80 mm for all the specimens.…”

Section: Applicationsmentioning

confidence: 99%

“…This work aims to develop a post-processor for both LCF and HCF fatigue assessment of welded structures. The post-processor stems from the structural strain concept, [48][49][50][51][52] which extends the traction stress method. The manuscript is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

“…) corresponding to Δε s,i based on the master E-N curve; and D is fatigue damage fraction and the component is usually considered failure if D ≥ 1.F I G U R E 1 1 Fatigue data of different types of joint analyzed in this study: (A) HCF test of titanium cruciform joints,58 (B) HCF test of steel cruciform joints,59 (C) HCF test of T-and butt joints made from magnesium alloy,23 (D) LCF test of AA5083 deck panel joint,60 (E) LCF test of pipe joint under cantilever bending condition,61 (F) HCF test of AL6082 cruciform joints,62 (G) low-cycle fatigue test of longitudinal gusset weld,63 (H) high-cycle fatigue test of AL5083/7005 cruciform joints,64 (I) low-cycle fatigue test of fillet welds of ship structure,65 (J) LCF test of Q450 steel and T4003 stainless steel,49 and (K) low-cycle fatigue test of pipe joint under four-point bending condition 66. [Colour figure can be viewed at wileyonlinelibrary.com]…”

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confidence: 99%

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A post‐processing procedure for predicting high‐ and low‐cycle fatigue life of welded structures based on the master E–N curve

Liu

Lei

Xing

et al. 2023

Fatigue Fract Eng Mat Struct

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This work provides a post‐processing procedure to predict the high‐ and low‐cycle fatigue life of welded structures. The post‐processor calculates the equivalent structural strain range, given the traction stress state at the weld notch, by enforcing the equilibrium condition and Navier's hypothesis. The return mapping algorithm is applied to deal with the low‐cycle fatigue condition in which through‐thickness plastic deformation develops. The proposed method predicts the fatigue life of 793 welded joints of different configurations made from steel, magnesium, titanium, and aluminum alloy. The predicted high‐ and low‐cycle fatigue lives agree equally well with the experimental result.

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“…We tested six types of cover plate lap and butt joints made from T4003 stainless steel and Q450 steel with a stress ratio of

R = 0

under load‐controlled conditions. The tests were performed with a 250 kN 8802 Instron® testing machine 49 (Figure 11J). The griping/clamping distance was 80 mm for all the specimens.…”

Section: Applicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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A post‐processing procedure for predicting high‐ and low‐cycle fatigue life of welded structures based on the master E–N curve

Liu

Lei

Xing

et al. 2023

Fatigue Fract Eng Mat Struct

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“…The natural idea is to find a parameter that can characterize the stress state of both weld toe and root. As mentioned in the introduction, the stress is singular at the weld toe and root due to the geometric discontinuity 48–50 . Therefore, the stress precisely at the weld toe and root cannot be directly compared (e.g., stress component at A and B in Figure 3).…”

Section: Traction Stress‐based Weld Failure Mode Criterionmentioning

confidence: 99%

A data‐driven analysis for fatigue failure mode identification in load‐carrying fillet welded joint with mechanical data augmentation

Zhao

Zhang

Song

et al. 2022

Fatigue Fract Eng Mat Struct

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Weld toe and weld root failures dominate the fatigue failures of the loadcarrying cruciform fillet welded joints. Compared to weld toe failure, the weld root failure is strongly affected by its inherent weld quality and throat size, which is more unpredictable and should be eliminated. This work proposes a weld sizing criterion in terms of two weld leg sizes and weld penetration to avoid root failure. The criterion is obtained by a data-driven approach with the help of the mechanical-directed data augmentation technique. The tractionstress-based method is applied for the data augmentation to identify the fatigue failure mode, which is statistically tested against 372 experimentally obtained fatigue data.cruciform joint, data augmentation, data driven, weld root failure, weld sizing | INTRODUCTIONThe load-carrying cruciform fillet welded joint (LCFWJ) is broadly applied to connect secondary components to main members in metal structures. [1][2][3] Two failure modes dominate the fatigue fractures of LCFWJ, namely, weld toe and root failure, depending on the load conditions and the joint geometry, as illustrated in Figure 1. Fatigue crack initiating from the weld root and propagating into the fillet weld is referred to as weld root failure, which should be eliminated during the design stage of the welded structures because of two reasons. (1) Fatigue lives according to weld root failure is usually much lower than that associated with weld toe failure. As stipulated in EN-1993-1-9, 4 the S-N curve recommended for weld root failure falls into the worst possible category, namely, FAT36, which is lower than that of the weld toe failure. 5 Ziqi Zhao and Tairui Zhang contributed equally to this work and should be considered co-first authors.

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“…For HCF, the stress is low enough, the stress-strain relationship can be considered linear, and then S-N curve is commonly used to predict the fatigue life [3]. For LCF, the stress-strain relationship is hysteretic and nonlinear, and the local stress-strain method is the most widely used to estimate the fatigue life [4]. In fact, the fatigue problems of actual structure are often the superposition of several types of fatigue, such as high-low cycle complex fatigue (H-LCF).…”

Section: Introductionmentioning

confidence: 99%

Fatigue Reliability Analysis System for Key Components of Aero-Engine

Song

et al. 2022

International Journal of Aerospace Engineering

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Aero-engine is known as the heart of an aircraft. Fatigue is one of the main causes of aero-engine failure, therefore, it is essential to predict the fatigue life in the aero-engine design process. Due to the uncertainty of influencing factors, it is necessary to further analyze the fatigue reliability. First, the fatigue life should be predicted on the basic of finite element analysis. The steps include parametric modeling, stress-strain analysis, load spectrum acquisition, and selection of fatigue life prediction model. Then, the reliability estimation of fatigue life should be employed, including the statistical analysis of influencing factors, reliability analysis method, and reliability estimation of fatigue life. Taking turbine blade and test probe of aero-engine as the research objects, the fatigue reliability analysis system is developed based on the ABAQUS-MATLAB platform. Statistical analysis shows that fatigue life approximately obeys lognormal distribution, and the distribution parameters estimated by MCS and Kriging are coincide, while Kriging only needs dozens of training samples. Under different reliability indexes, the design fatigue life error between Kriging and MCS is less than 1%, which meets the accuracy requirements and can effectively guide the fault detection and maintenance of aero-engine.

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Low cycle fatigue evaluation of welded structures with arbitrary stress-strain curve considering stress triaxiality effect

Cited by 16 publications

References 60 publications

A post‐processing procedure for predicting high‐ and low‐cycle fatigue life of welded structures based on the master E–N curve

A post‐processing procedure for predicting high‐ and low‐cycle fatigue life of welded structures based on the master E–N curve

A data‐driven analysis for fatigue failure mode identification in load‐carrying fillet welded joint with mechanical data augmentation

Fatigue Reliability Analysis System for Key Components of Aero-Engine

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