A modified strain energy density exhaustion model for creep–fatigue life prediction

Wang, Run-Zi; Zhang, Xiancheng; Tu, Shan‐Tung; Zhu, Shun‐Peng; Zhang, Chengcheng

doi:10.1016/j.ijfatigue.2016.03.005

Cited by 133 publications

(74 citation statements)

References 33 publications

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“…However, it ignores both the load sequence influences and interactions under block loading as well as the damage contribution caused by load cycles below the fatigue limit . To overcome these issues of LDR, various nonlinear fatigue damage accumulation methods have been developed based on stress, strain, and/or both approaches, like strain energy‐based methods …”

Section: Introductionmentioning

confidence: 99%

“…11 To overcome these issues of LDR, various nonlinear fatigue damage accumulation methods have been developed based on stress, strain, 12 and/or both approaches, like strain energy-based methods. [13][14][15][16] As aforementioned, two issues during fatigue damage accumulation process, namely load sequence and load interaction effects, have not been well addressed during fatigue life predictions. Specifically, the load interaction effect refers to the dependence of fatigue damage or residual life on previous load history.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Nonlinear fatigue damage accumulation and life prediction of metals: A comparative study

Zhu

Hao

Correia

et al. 2018

Fatigue Fract Eng Mat Struct

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Fatigue damage modelling and life prediction of engineering components under variable amplitude loadings are critical for ensuring their operational reliability and structural integrity. In this paper, five typical nonlinear fatigue damage accumulation models are evaluated and compared by considering the influence of load sequence and interaction on fatigue life of P355NL1 steels. Moreover, a new nonlinear fatigue damage accumulation model is proposed to account for these two effects. Experimental datasets of pressure vessel steel P355NL1 and four other materials under two‐block loadings are used for model comparative study. Results indicate that the proposed model yields more accurate fatigue life predictions for the five materials than the other models.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Nonlinear fatigue damage accumulation and life prediction of metals: A comparative study

Zhu

Hao

Correia

et al. 2018

Fatigue Fract Eng Mat Struct

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“…Gallo et al 4,5 investigated high temperature fatigue properties of 40CrMoV13.9 steel and titanium Grade 2 with the consideration of notch effect by using strain energy density approach. [11][12][13][14][15] It is worth mentioning that Zhu 12 18 have done some systematic investigations, which are of high value to understand the microstructure evolution during LCF and CFI loadings. Lifetime prediction is also the concern of materials serviced at LCF and CFI loadings.…”

Section: Introductionmentioning

confidence: 99%

“…To achieve more accurate prediction result, different types of energy-based approaches were proposed. [11][12][13][14][15] It is worth mentioning that Zhu 12 18 have done some systematic investigations, which are of high value to understand the microstructure evolution during LCF and CFI loadings. On the other hand, some constitutive models have been developed to capture the high temperature cyclic stress-strain behaviour of these materials.…”

Section: Introductionmentioning

confidence: 99%

Experimental and numerical characterization of low cycle fatigue and creep fatigue behaviour of P92 steel welded joint

Wang

Zhang

Gong

et al. 2017

Fatigue Fract Eng Mat Struct

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Low cycle fatigue (LCF) and creep fatigue interaction (CFI) behaviour of P92 steel welded joint were investigated experimentally and numerically. Strain‐controlled LCF tests at different strain amplitudes and CFI tests at different peak strain holding time were conducted. Evolutions of cyclic stress response, mean stress, and creep strain during cycling were described, in which the influence of strain amplitude and holding time were investigated. A specific heat treatment process was proposed to get the homogenous simulated material of fine grain region and coarse grain region in the heat affected zone. Material parameters of parent material, fine grain heat affected zone, coarse grain heat affected zone, and weld metal in the unified viscoplasticity model were then determined and validated. To predict the LCF and CFI behaviour of welded joint, 3‐dimensional unified viscoplasticity model with a modified isotropic variable was compiled into ABAQUS UMAT. The comparison between the predicted and experimental result under LCF and CFI loadings showed that the simulation results were reasonable and agreed with the experimental data well.

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“…The corresponding energy law formula is listed. Runzi Wang [10,11], based on the linear cumulative damage rule, combined with the time fraction method and the plastic exhaustion method, obtained a new strain energy density depletion model by substituting the strain energy constitutive equation.The above life prediction models were validated for relevant alloy materials and showed their practicability. Incoloy alloy has excellent high-temperature mechanics, corrosion resistance, and oxidation resistance.…”

mentioning

confidence: 99%

Low Cycle Fatigue Life Prediction Model of 800H Alloy Based on the Total Strain Energy Density Method

2019

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In this paper, a high-temperature low-cycle fatigue life prediction model, based on the total strain energy density method, was established. Considering the influence of the Masing and non-Masing behavior of materials on life prediction, a new life prediction model was obtained by modifying the existing prediction model. With an 800H alloy of the heat transfer tube of a steam generator as the research object, the high-temperature and low-cycle fatigue test was carried out at two temperatures. The results show that the predicted and experimental results are in good agreement, proving the validity of the life prediction model. Keywords: 800H alloy; strain control; low-cycle fatigue; total strain energy density method; life prediction model IntroductionLife prediction is an important process that needs to be considered when using metal materials. It can effectively avoid catastrophic failures in nuclear power plants, pipeline systems, offshore platforms, petrochemicals, the aerospace industry, and other related structures. At present, there are many life prediction methods, including the linear cumulative damage method [1], plastic exhaustion method [2], Coffin-Manson correction method [3], strain range division method [4], strain energy range division method [5], metallography method [6], and the stress relaxation range method [7]. Although scholars have studied and furthered the development of these models, equipment damage due to creep-fatigue damage still persists, indicating that accuracy of the existing life prediction models is not sufficient to meet the life-span analysis conditions of different equipment or materials. In response to this problem, scholars have made corrections to existing models, resulting in newer ones. For example, Rao Jin [8], through transformation of the load spectrum based on the linear cumulative damage theory, proposed a functional relationship between the load-holding time and lifetime. Yongqin Wang [9] proposed a new method to predict average plastic strain life based on the energy method. According to the creep fatigue load, the material generates irreversible micro-defects (dislocations, voids, micro-cracks) with the increase of internal energy. The corresponding energy law formula is listed. Runzi Wang [10,11], based on the linear cumulative damage rule, combined with the time fraction method and the plastic exhaustion method, obtained a new strain energy density depletion model by substituting the strain energy constitutive equation.The above life prediction models were validated for relevant alloy materials and showed their practicability. Incoloy alloy has excellent high-temperature mechanics, corrosion resistance, and oxidation resistance. It is often used in the petrochemical and nuclear power industries, especially for heat transfer tubes in nuclear power plant steam generators. Periodic loading with high-temperature

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A modified strain energy density exhaustion model for creep–fatigue life prediction

Cited by 133 publications

References 33 publications

Nonlinear fatigue damage accumulation and life prediction of metals: A comparative study

Nonlinear fatigue damage accumulation and life prediction of metals: A comparative study

Experimental and numerical characterization of low cycle fatigue and creep fatigue behaviour of P92 steel welded joint

Low Cycle Fatigue Life Prediction Model of 800H Alloy Based on the Total Strain Energy Density Method

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