Testing and assessment of fatigue life prediction models for Indian PHWRs piping material under multi-axial load cycling

Arora, Punit; Gupta, Suneel K.; Bhasin, V.; Singh, Raj Kumar; Sivaprasad, S.; Tarafder, S.

doi:10.1016/j.ijfatigue.2015.12.002

Cited by 36 publications

(22 citation statements)

References 19 publications

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“…Amongst ferrous alloys category, different material grades from plain carbon steel family (mild steel 24 , SA333 Gr. 6 23,25 16MnR 23,26 , E235 27 , and E355 27 ), low-alloy steel (1Cr-Mo-V 28 and S460N 23,29 ) and austenitic stainless steel (SS304 30 , SS316L 31 and SS 347 29 ) have been considered. In nonferrous alloy category, aluminium alloys (2024T3-Al 32 , PA38-T6-Al 27 , and 7075T651-Al 33 ), titanium (pure titanium 34 and TC4 alloy 35 ), cobalt base super-alloy (Haynes 188 36 ), and nickel alloy (Inconel-718 37 ) have been used for validation.…”

Section: Scope Of the Present Workmentioning

confidence: 99%

“…The ASME section III subsection NB 1 design procedures belong to strain invariant-based category and outline two different procedures based on constant principal stress directions (that is, proportional or in-phase loading case) and varying principal stress directions (that is, nonproportional or out-of-phase loading case). However, these procedures are not fit for nonproportional loading conditions and result in overestimation of fatigue life 2,3 .…”

Section: Introductionmentioning

confidence: 99%

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Validating generality of recently developed critical plane model for fatigue life assessments using multiaxial test database on seventeen different materials

Arora

Gupta

Samal

et al. 2020

Fatigue Fract Eng Mat Struct

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The present studies are aimed at validation of a newly developed critical plane model with respect to large variety of engineering materials used for different applications. This newly developed model has been recently reported by present authors. To strengthen general applicability of this model, multiaxial test database consisting of a wide variety of multiaxial loading paths have been considered. The strain paths include pure axial, pure torsion, in-phase axial-torsion, out-of-phase axial-torsion with phase shift angles varying from 30 to 180 having sine/trapezoidal/triangular strain waveforms, with/without mean axial/shear strains and asynchronous axial-torsion strain paths of different frequency ratios etc.The materials covered in present study are mainly categorized as ferrous and nonferrous alloys. In ferrous alloy category, material grades from plain carbon steel (mild steel, 16MnR, SA333 Gr. 6, E235 and E355), low-alloy steel (1Cr-Mo-V and S460 N) and austenitic stainless steel (SS304, SS316L and SS347)

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Section: Scope Of the Present Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Validating generality of recently developed critical plane model for fatigue life assessments using multiaxial test database on seventeen different materials

Arora

Gupta

Samal

et al. 2020

Fatigue Fract Eng Mat Struct

Self Cite

View full text Add to dashboard Cite

show abstract

“…Three sets of experimental stress responses are selected from the technical literature for comparison with the proposed plasticity model [15,23,24]. They are the 30CrNiMo8HH steel, SA 333 Gr.6 steel, and 1 %CrMoV steel [15,[23][24]. All the tests are conducted on smooth specimens at room temperature under strain-controlled model, including various strain paths, Figure 1.…”

Section: Experimental Verificationsmentioning

confidence: 99%

“…The observed and predicted responses of SA 333 Gr.6 steel and 1 %CrMoV steel are shown in the form of axial and torsional hysteresis loops, Figures 4, 5, respectively. The observed and predicted stress responses are not included for both SA 333 Gr.6 steel and 1 %CrMoV steel since the test data are absent in the original reference papers [23,24]. Both the shape and the amplitudes of the stress paths are reasonably predicted using the proposed plasticity 2.…”

Section: Experimental Verificationsmentioning

confidence: 99%

Stabilized cyclic stress‐strain calculation for metals under multiaxial loading

Qiu

Wang³

et al. 2020

Materialwissenschaft Werkst

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A simple plasticity model for modeling the stabilized cyclic stress-strain responses is developed to consider the effect of non-proportional additional hardening. In the proposed model, the plastic modulus for uniaxial loading is extended to multiaxial loading by introducing the non-proportionality factor and the additional hardening coefficient. The two introduced factors take into account the effects of non-proportional additional hardening, not only on the shape of the loading path, but also on the material and its microstructure. And then, the basic Armstrong-Frederick nonlinear hardening rule is modified to model the evolution of the back stress. The consistency condition is enforced to obtain the relationship between the back stress and plastic modulus. The proposed model requires only six material constants for estimating the stabilized responses. Comparisons between the test results (30CrNiMo8HH steel, SA 333 Gr.6 steel, and 1 %CrMoV steel) and model predictions show that the proposed model predicts relatively accurate stress responses under both proportional and non-proportional loading paths. Keywords: Stabilized response / multiaxial fatigue / plastic constitutive model / nonproportionality factor / additional hardening coefficient Schlüsselwörter: Stabilisierende Resonanz / mehraxiale Belastung / plastisch konstitutives Model / Nichtproportionalitätsfaktor / zusätzlicher Härtungskoeffizient

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“…A classical prediction model is an offline prediction model based on the generalization of the results of multiple tests [5–7]. For example, Fontana established a mathematical model to determine the relationship between the lifetime and operating parameters (load current, ambient temperature and operating frequency) of a relay by using these parameters as predictor variables and assuming the lifetime of the relay to follow the Weibull Distribution [8].…”

Section: Introductionmentioning

confidence: 99%

Characterization of Initial Parameter Information for Lifetime Prediction of Electronic Devices

Liu

Yuan

et al. 2016

PLoS ONE

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Newly manufactured electronic devices are subject to different levels of potential defects existing among the initial parameter information of the devices. In this study, a characterization of electromagnetic relays that were operated at their optimal performance with appropriate and steady parameter values was performed to estimate the levels of their potential defects and to develop a lifetime prediction model. First, the initial parameter information value and stability were quantified to measure the performance of the electronics. In particular, the values of the initial parameter information were estimated using the probability-weighted average method, whereas the stability of the parameter information was determined by using the difference between the extrema and end points of the fitting curves for the initial parameter information. Second, a lifetime prediction model for small-sized samples was proposed on the basis of both measures. Finally, a model for the relationship of the initial contact resistance and stability over the lifetime of the sampled electromagnetic relays was proposed and verified. A comparison of the actual and predicted lifetimes of the relays revealed a 15.4% relative error, indicating that the lifetime of electronic devices can be predicted based on their initial parameter information.

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Testing and assessment of fatigue life prediction models for Indian PHWRs piping material under multi-axial load cycling

Cited by 36 publications

References 19 publications

Validating generality of recently developed critical plane model for fatigue life assessments using multiaxial test database on seventeen different materials

Validating generality of recently developed critical plane model for fatigue life assessments using multiaxial test database on seventeen different materials

Stabilized cyclic stress‐strain calculation for metals under multiaxial loading

Characterization of Initial Parameter Information for Lifetime Prediction of Electronic Devices

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