Fatigue life prediction under variable loading based on a new non-linear continuum damage mechanics model

Dattoma, V.; Giancane, S.; Nobile, R.; Panella, F.W.

doi:10.1016/j.ijfatigue.2005.05.001

Cited by 147 publications

(106 citation statements)

References 13 publications

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“…Lifetime for  =150MPa is N=430,000 cycles, W=0.1563 MJm -3 and for  =200MPa is N=150,000 cycles, W=0.2778MJm -3 . W-1 is the energy due to the fatigue life of 2×10 6 cycles, and W-1=0.06783MJm -3 .The loading conditions are illustrated in Fig.1, in which β1 is the fraction of life at level 1, β2 is the fraction of life at level 2 until fracture.…”

Section: Life Prediction By the Proposed Approachmentioning

confidence: 99%

“…That is, the fatigue lives predicted by Miner rule are lower than experimental values the for increasing loading and are higher than the experimental results for decreasing loading under the same loading level [2]. Therefore, many methods [3][4][5][6][7][8][9][10][11][12] has been conducted to predict fatigue life under variable loading condition based on nonlinear damage cumulative model. Especially, the literatures [13][14][15][16] explore methods to predict the fatigue life of aluminum alloy 2024-T42 subjected to variable amplitude loading.…”

Section: Introductionmentioning

confidence: 99%

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A New Approach to Prediction of Fatigue Life For 2024-T42 Aluminum Under Variable Amplitude Loading

Guo¹,

Ke-ge²,

Liu³

et al. 2017

Proceedings of the 3rd Annual International Conference on Mechanics and Mechanical Engineering (MME 2016)

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Abstract.A new approach is explored to predict the fatigue life of 2024-T42 aluminum subjected to variable amplitude loading. The predicted fatigue lives are compared with the experimental data and those predicted by Miner's rule, which show that the fatigue lives predicted by the proposed approach agree well with the experimental results and most of the errors are within a factor of 2. The proposed approach gives better prediction than the Miner's rule owing to the fact that it can take into account the loading history. Furthermore, the theoretical results tend to be non-conservative for the decreasing loading and the predicted results underestimate the experimental lives for the increasing loading.

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Section: Life Prediction By the Proposed Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A New Approach to Prediction of Fatigue Life For 2024-T42 Aluminum Under Variable Amplitude Loading

Guo¹,

Ke-ge²,

Liu³

et al. 2017

Proceedings of the 3rd Annual International Conference on Mechanics and Mechanical Engineering (MME 2016)

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“…The possible paths in Fig. 2 From Table 1, it can be seen that there are two possible changing points of strength (1-2), four possible changing points of strength (3-6) and eight possible changing points (7)(8)(9)(10)(11)(12)(13)(14) at t 1 , t 2 and t 3 , respectively. When calculating reliability by using the strength distribution at each load application, paths with all possible combinations of changing points of strength are taken into account, which also include impossible paths, such as path r 0 -1-6-10, path r 0 -2-4-12, etc.…”

Section: Reliability Models With Respect To Load Application Timesmentioning

confidence: 99%

“…D(n) is the cumulative damage caused by load, which is determined by both load application times n and the magnitude of load. According to the Miner linear damage accumulation rule [14], the damage caused by a load with a magnitude of once is:…”

Section: Reliability Models With Respect To Load Application Timesmentioning

confidence: 99%

Dynamic Reliability Analysis of Mechanical Components Based on Equivalent Strength Degradation Paths

Gao¹,

Yan²,

Xie³

et al. 2013

SV-JME

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In the design stage of mechanical components, the uncertainty in both the environmental load and the material parameters needs to be taken into consideration and a safety margin is required to guarantee the intrinsic reliability of mechanical components. The safety factor is comprehensively used in the practical design of mechanical components, which is industry specific and determined by the experience of engineers. However, the empirical safety factor cannot quantify the uncertainty and risk in mechanical design. Therefore, reliability analysis of mechanical products has gained more and more popularity [1] to [3].Reliability is defined as the probability that a product performs its intended functions without failure during a specified time period. For mechanical components, the load-strength interference (LSI) model is the most important analytical method in reliability assessment. The conventional LSI model is essentially a static reliability model. However, gradual failure of mechanical components commonly exists in practical engineering due to the strength degradation caused by corrosion, wear, erosion creep, etc. As pointed out by Martin, constructing reliability models considering strength degradation is an important issue for reliability estimation and further research on generalized methods for the dynamic reliability analysis of mechanical components is imperative [4].To overcome the shortcomings of conventional LSI models, reliability models based on stochastic process theory are investigated in which load and strength are modelled as two stochastic processes. Lewis [5] analysed the time-dependent behaviour of a 1-out-of-2: G redundant system by combining the LSI model with a Markov model. Geidl and Saunders [6] introduced time-dependent elements into the reliability equation to estimate the reliability. Somasundaram and Dhas [7] put forward a generalized formula to estimate the reliability of a dynamic parallel system, in which components equally shared the load. Noortwijk and Weide [8] developed a reliability model, in which load and strength are described as two stochastic processes. Labeau et al. proposed the framework of a dynamic reliability platform and identified its main constituents [9]. Zhang et al. analysed the main methods for dynamic reliability estimation of nuclear power plants, which include discrete dynamic event trees and Monte Carlo simulation [10]. Slak analysed production planning and scheduling, cutting tools and material flow process, and manufacturing capacities [11]. Barkallah et al. proposed a method for process planning to determine the tolerance for manufacturing with statistical tools [12].As a matter of fact, the reliability models based on stochastic process theory, such as the timedependent model, Markov model, etc, are the most important tools for dynamic reliability analysis. The Markov models are mainly used for dynamic reliability analysis of electronic elements and multi- Dynamic Reliability Analysis of Mechanical Components Based on Equivalent Strength Degradat...

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“…The Miner's rule has always been acknowledged as a simplification that is easy to use in design where detailed loading history is unknown. But under many variable amplitude loading conditions, life predictions have been found to be unreliable since it did not properly take into account the loading sequence effect [8][9][10]. Therefore, it is uncertain to use the Miner's rule for remaining fatigue life estimation of railway bridges because most of the railway bridges are subjected to variable amplitude loadings.…”

Section: Introductionmentioning

confidence: 99%

Secondary Stress based-Remaining Fatigue Life Estimation of a Riveted Bridge Connection using New Fatigue Criterion

Siriwardane¹

2007

Engineer

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This paper presents a new method to estimate the remaining fatigue lives of riveted connections of railway bridges. The proposed method mainly consists of secondary stress histories, recently developed sequential law and fully known Wohler curve. It is essential to use the fully known Wohler curve. Therefore the technique, which utilizes the transfer of the partially known code given Wohler curve to a fully known curve, is also discussed. Initially the details of new damage indicator based sequential law and it's proposed extension for multiaxial fatigue is described. Secondly the remaining fatigue life of an existing riveted bridge connection is estimated by introducing a new method. Hence validity and merits of the proposed method is confirmed by comparing the results with previous methods-based fatigue lives. ·

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Fatigue life prediction under variable loading based on a new non-linear continuum damage mechanics model

Cited by 147 publications

References 13 publications

A New Approach to Prediction of Fatigue Life For 2024-T42 Aluminum Under Variable Amplitude Loading

A New Approach to Prediction of Fatigue Life For 2024-T42 Aluminum Under Variable Amplitude Loading

Dynamic Reliability Analysis of Mechanical Components Based on Equivalent Strength Degradation Paths

Secondary Stress based-Remaining Fatigue Life Estimation of a Riveted Bridge Connection using New Fatigue Criterion

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