Algorithms for multiaxial cycle counting method and fatigue life prediction based on the weight function critical plane under random loading

Wang, Xiaowei; Shang, De‐Guang; Sun, Yujuan; Liu, Xiaodong

doi:10.1177/1056789519831051

Cited by 14 publications

(7 citation statements)

References 47 publications

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“…Cycle counting is one of several fatigue-damage evaluation methods. The full procedure generally includes three main steps: cycle counting, damage evaluation in each cycle, and damage accumulation assessment (Chen and Shang, 2011; Wang et al., 2019). However, traditional cycle counting algorithms, such as peak counting, level crossing, range-pair counting, and rainflow counting (ASTM E1457-15, 2015; Downing and Socie, 1982; Rychlik, 1987), are not applicable online because they reconstruct the load spectrum to form as large a cycle or half-cycle as possible.…”

Section: Introductionmentioning

confidence: 99%

An online monitoring method for creep-fatigue life consumption with real-time damage accumulation

Hong

Cai

Wang

et al. 2021

International Journal of Damage Mechanics

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Online damage evaluation based on monitored complex cyclic loadings has become an important technique for reliability assessment, especially in high-temperature environments where creep occurs in addition to fatigue. Accuracy and rapidity of calculation are basic requirements for online damage evaluation methods. However, current creep damage evaluation methods seldom consider the fluctuation in stress, which leads to inaccuracy in life-consumption estimates. In addition, traditional cycle-counting methods are not applicable to online use. In this study, an online creep-fatigue damage evaluation method is proposed that accounts for the creep behavior that occurs under fluctuating loads. The cycle-counting method is modified from a rainflow-counting algorithm; it broadens the counting of half-cycles and adopts a new equivalent temperature in the stress-strain response calculation. The proposed method is explained in detail and demonstrated with a case study. The application of this method to a high-temperature, high-pressure pipe demonstrates its online applicability and accuracy. A time-matching algorithm is developed to display the damage evolution in real time, thus revealing the link between the incremental damage and the current load conditions, and yielding an intuitive demonstration of a given component’s state of health.

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Section: Introductionmentioning

confidence: 99%

An online monitoring method for creep-fatigue life consumption with real-time damage accumulation

Hong

Cai

Wang

et al. 2021

International Journal of Damage Mechanics

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“…Therefore, in such cases, the effect of mean stress on fatigue lifetime under random loading should not be ignored (Barbosa et al, 2020). So also, Wang et al (2019) have proposed two algorithms for multiaxial cycle counting method by modifying the rainflow and range cycle counting methods, for predict multiaxial fatigue life in both high-cycle and low-cycle fatigue region. Barbosa et al (2019) suggested probabilistic S-N fields based on statistical distributions applied to metallic and composite materials using various fatigue models.…”

Section: Introductionmentioning

confidence: 99%

Numerical study of fatigue damage under random loading using rainflow cycle counting

Kebir

Correia

Benguediab

et al. 2020

IJSI

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PurposeThe purpose of this scientific work is to simulate the fatigue damage under random loading taking into account the mean stress effect on fatigue lifetime and using the rainflow counting technique to assess the fatigue damage.Design/methodology/approachThe study of fatigue under random loading is based on same concepts which as constant loading with addition of damage summation. The damage of materials due a stress cycle depends not only on the alternating stress but also on the mean stress.FindingsThe cycles counting simulation method allows quantifying the hysteresis loops, even if for small amplitude stresses.Originality/valueThe cycles are low or medium; the damage occurs most often, the higher values of alternating stresses cause the most failure of materials.

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“…Therefore, in such cases, the effect of mean stress on fatigue lifetime under random loading should not be ignored. So also, Wang et al (2019) have proposed two algorithms for the multiaxial cycle counting method by modifying the Rainflow and range cycle counting methods for predicting multiaxial fatigue life in both high-cycle and low-cycle fatigue region.…”

Section: Introductionmentioning

confidence: 99%

Numerical study of fatigue damage under random loading using Rainflow cycle counting

Kebir

Correia

Benguediab

et al. 2020

IJSI

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PurposeThe purpose of this scientific work is to simulate the fatigue damage under random loading, taking into account the mean stress effect on fatigue lifetime and using the Rainflow counting technique to assess the fatigue damage by the Ansys software. The used material is aluminum alloy 6082-T6. A comparison with literature results has confirmed this investigation in this paper.Design/methodology/approachThe study of fatigue under random loading is based on the same concepts as constant loading with the addition of damage summation. The proportion of damage caused by a stress cycle depends not only on the alternating stress but also on the mean stress.FindingsAnalysis of the fatigue damage shows that the number of relative damage due to each cycle.Originality/valueThis paper aims to simulate the fatigue damage under random loading for aluminum alloys.

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Algorithms for multiaxial cycle counting method and fatigue life prediction based on the weight function critical plane under random loading

Cited by 14 publications

References 47 publications

An online monitoring method for creep-fatigue life consumption with real-time damage accumulation

An online monitoring method for creep-fatigue life consumption with real-time damage accumulation

Numerical study of fatigue damage under random loading using rainflow cycle counting

Numerical study of fatigue damage under random loading using Rainflow cycle counting

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