Fatigue crack initiation and energy-based life analysis for Q345qD bridge steel at low temperatures

Liao, Xiaowei; Wang, Yuanqing; Feng, Liuyang; Ban, Huiyong; Chen, Yong

doi:10.1016/j.jcsr.2021.106571

Cited by 13 publications

(7 citation statements)

References 34 publications

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“…Many researchers have further used such estimates of plastic strain energy for fatigue life predictions. 6,94 To assess and quantify the Masing/non-Masing behavior, we have extracted the data (hysteresis loops at half-life) for seven different materials, namely, 304LN SS, 16 316LN SS, 91 SA333 Gr.6, 16 AA6063, 79 AISI 1018 HR steel, 7 annealed Cu, 119 and annealed Al. 119 The values of δσ 0 have been estimated for all the materials by constructing the master curves.…”

Section: Change In Proportional Stress Limit (δσ 0 ) Methodsmentioning

confidence: 99%

“…The estimate of

δ σ_{0}

has been used by many researchers 6,9,22 to estimate the extra energy absorbed by a material due to non‐Masing behavior under fatigue. Many researchers have further used such estimates of plastic strain energy for fatigue life predictions 6,94 . To assess and quantify the Masing/non‐Masing behavior, we have extracted the data (hysteresis loops at half‐life) for seven different materials, namely, 304LN SS, 16 316LN SS, 91 SA333 Gr.6, 16 AA6063, 79 AISI 1018 HR steel, 7 annealed Cu, 119 and annealed Al 119 .…”

Section: Assessment Of Masing/non‐masing Behaviormentioning

confidence: 99%

“…Equation 10 6 has some drawbacks in estimating the CPSED and, thereby, the fatigue life of materials 25,94 . The main disadvantages are as follows: (1) the nonconservative estimation of CPSED and consequently fatigue life, 25,94 (2) the necessity of master curve formation, 140 and (3) it can be used for estimation only, not for prediction of CPSED 6 . Despite these limitations, this equation has extensively been used to estimate engineering materials' CPSED and fatigue life 25,141–143 .…”

Section: Fatigue Life Prediction Of Masing/non‐masing Behaviormentioning

confidence: 99%

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A comprehensive review and analysis of Masing/non‐Masing behavior of materials under fatigue

Yadav

Roy

Goyal³

2022

Fatigue Fract Eng Mat Struct

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Over the last 50 years, many researchers have contributed significantly towards understanding the Masing/non-Masing behavior of materials. However, there has been no review article or scientific report published to date that highlights the progress made in this domain. This article presents a state-ofthe-art comprehensive review and analysis of the Masing/non-Masing behavior of materials under low cycle fatigue loading. Understanding of Masing/ non-Masing behavior is important for the development of fatigue-resistant materials, prediction of fatigue life, and constitutive modeling and simulation. The influence of various factors such as stacking fault energy, temperature, strain amplitude, and loading conditions on Masing/non-Masing behavior has been summarized in this article. The literature pertaining to the internal microstructural changes observed in different materials by various researchers has been collected and compiled. The different methods of analyzing Masing/ non-Masing behavior reported in the open literature are assessed and presented. The importance/significance of Masing/non-Masing behavior in constitutive modeling and fatigue life prediction has also been highlighted. Finally, conclusions based on the review and the potential problems required to be resolved in the future are also pointed out.

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Section: Change In Proportional Stress Limit (δσ 0 ) Methodsmentioning

confidence: 99%

“…The estimate of

δ σ_{0}

Section: Assessment Of Masing/non‐masing Behaviormentioning

confidence: 99%

Section: Fatigue Life Prediction Of Masing/non‐masing Behaviormentioning

confidence: 99%

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A comprehensive review and analysis of Masing/non‐Masing behavior of materials under fatigue

Yadav

Roy

Goyal³

2022

Fatigue Fract Eng Mat Struct

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“…Previous studies have shown that stress ratios of 0.1, 0.2, 0.3, and 0.5 ca strate the effect of stress ratios on crack propagation [24]. For this reason, the with a thickness of 10 mm and a load of 36 kN were used in the FEM to tionship between the crack propagation length, cycle times, and the K valu As shown in Figure 14, whether the steel is corroded or not, the stress r proportional to the crack length and inversely proportional to the stress in The curves of corroded specimens fluctuated and experienced a shar growth process.…”

Section: Stress Ratiomentioning

confidence: 96%

“…It is known that the joint action of a corrosive environment and repeated stress is one of the main reasons for the premature failure of most engineering metals, especially in marine environments [21,22]. This usually leads to the premature initiation of fatigue cracks on the surface of materials, resulting in reductions in fatigue life and resistance [23][24][25]. The research on the crack growth rate of different kinds of steels is extensive [26], but the driving factors affecting the crack growth rate of HPS are not well understood [27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Numerical Investigation of Fatigue Crack Propagation Behaviour of 550E High-Performance Steel

Xiao,

Lin,

Wang

et al. 2023

Metals

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The fatigue crack propagation behaviour of Q550E high-performance steel (HPS) is studied in this paper. Static tensile testing and fatigue crack propagation testing were carried out, and the results were compared with those of Q235. Finite element models were developed and verified against the experimental results. The impacts of the initial crack angle, crack depth ratio, stress ratio, thickness, and corrosion pitting on the fatigue crack propagation behaviour of the HPS were analysed. The results show that the fatigue life of Q550 was reduced by 18% due to the corrosion pitting, but it did not change the crack propagation path. When the stress intensity factor is higher than a certain value, the fatigue performance of Q235 is better than that of Q550E. The initial crack angle of 52.5° is the critical angle of the crack stress intensity factor. The steel tends to fracture as the crack depth ratio increases, and more attention should be paid to the effective crack length in engineering practice. An increasing stress ratio leads to a smaller stress intensity factor, and the thickness affects the stress intensity factor in the later stage. The crack stress intensity factor around the corrosion pits gradually decreases along the thickness direction, and the crack tips around the corrosion pits tend to reach the yield state initially, accelerating the fatigue fracture of the specimen and ultimately leading to a decrease in fatigue life.

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Introduction

Yan,

Xie

2024

Materials and Structures in Cold Regions

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Fatigue crack initiation and energy-based life analysis for Q345qD bridge steel at low temperatures

Cited by 13 publications

References 34 publications

A comprehensive review and analysis of Masing/non‐Masing behavior of materials under fatigue

A comprehensive review and analysis of Masing/non‐Masing behavior of materials under fatigue

Numerical Investigation of Fatigue Crack Propagation Behaviour of 550E High-Performance Steel

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