Fatigue damage editing for accelerated durability testing using strain range and SWT parameter criteria

Stephens, R. I.; Dindinger, Philip M.; Gunger, J. E.

doi:10.1016/s0142-1123(97)00079-0

Cited by 55 publications

(33 citation statements)

References 8 publications

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“…The plots show imbalance in class distribution, where a number of low damage is about 2-4 times more than the high damage. This finding corresponds to the nature of the loading history in which the majority of cycles come in a small amplitude cycle (Stephens et al, 1997). Using these figures the chromosome length is set to 47 and 50 for S1 and S2, respectively.…”

Section: Resultsmentioning

confidence: 95%

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Satisfying Statistical Constraints in Preparing Edited Variable Amplitude Loading History Using Genetic Algorithm

Nopiah¹,

Osman²,

Abdullah³

et al. 2012

MAS

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A major concern that surfaces when performing the segment-based fatigue data editing technique is to certify that the values of two global statistics (root mean square and kurtosis) of the edited load history are within an acceptance interval whilst maximizing the data reduction rate and minimizing the loss in damage. The root mean square (rms) quantifies an overall energy underlying the history whilst kurtosis is important to identify impulsive character. In this paper, the stochastic Genetic Algorithm (GA) is employed as a post processing tool that helps the edited history satisfy the statistical requirements with minimum cost i.e. small decrement in the initial reduction rate. Consider the initial version of edited history being composed of high fatigue damage segments resulted from the non-overlapping segmentation method. In a case that the history does not comply with the statistical requirements, then importing a subset of low segments into the present edited history might reverse the outcome. Thus, the GA aims to search for the smallest subset that turns the history into fulfilling the rms and kurtosis needs without affecting the reduction rate too much. Experimental results show the capability of the proposed method in making the edited history fit the statistical constraints without imposing harm on the overall fatigue damage value.

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Section: Resultsmentioning

confidence: 95%

“…The editing refers to the effort of simplifying a load history and it can be done by removing small amplitude cycles that make up a large percentage of generated cycles in the history. To date, those cycles are found individually as appeared in (Stephens, Dindinger, & Gunger, 1997) or based on the segment-to-segment analysis.…”

Section: Introductionmentioning

confidence: 99%

Satisfying Statistical Constraints in Preparing Edited Variable Amplitude Loading History Using Genetic Algorithm

Nopiah¹,

Osman²,

Abdullah³

et al. 2012

MAS

View full text Add to dashboard Cite

show abstract

“…It contains large percentage of small amplitude cycles and the fatigue damage for these cycles can be small. For this reason, in many cases, the signal was edited by removing these cycles in order to produce representative and meaningful yet economical testing (Stephens et al, 1997). Therefore, it seems appropriate to see a method to summarise a fatigue strain signal.…”

Section: Fatigue Data Editingmentioning

confidence: 99%

Eliminating the Undamaging Fatigue Cycles Using the Frequency Spectrum Filtering Techniques

Abdullah¹,

Putra²,

Nuawi³

2012

Fourier Transform - Materials Analysis

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“…For final structural homologation purpose, manipulation methods for accelerate tests results considers 1) Associated to a cycle testing frequency increase up to the resonance limit, the actual praxis includes manipulation of input data by ignoring the low range cycles below 15% of the maximum load 9 , 2) building up a cumulative distribution from a time-history rainflow 10 or 3) filtering the measured events with calculated stresses below 50% of the material fatigue limit 8 . A successful technique was proposed using the strain amplitude together with the Smith-Watson-Topper fatigue model 11 for editing the cycles with the highest associated damage 12 reducing considerably the signal length considerably and consequently the time to run a complete test program.…”

Section: Introductionmentioning

confidence: 99%

From numerical calculations to materials testing homologation: a biaxial fatigue reliability prediction methodology for structural components

2013

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This article investigates a fatigue approach conducted from the design phase to testing approval. It considerers modern analytical and experimental tools for structural durability assessment over each development phase for two reference components aiming an early approval methodology validation for a new design. A Finite element analysis procedure was used to set critical spots for measurements minimizing the data acquisition efforts. Based on measured data, strain life calculation was done for two reference components in order to set the release goals for a new design submitted to this approach. An innovative fatigue experimental technique is proposed using component extracted specimens and an edited input cycle loads. Considering the random data from a standard test track and signal proportionality evaluation, while assuming the Brown Miller equation for bi-axial fatigue together with Ramberg-Osgood model, equivalent damage load blocks were edited and used as input for durability assessment on specimens representing the component material. The results for the three parts materials were plotted as Weibull diagram for B10 life estimation. Fatigue life results showed good correlation with the reference parts structural performance thus validating the method as well as approving the new design for production without additional on-vehicle durability testing. The methodology and the fatigue testing proposal is therefore recommended for future applications on similar developments.

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Fatigue damage editing for accelerated durability testing using strain range and SWT parameter criteria

Cited by 55 publications

References 8 publications

Satisfying Statistical Constraints in Preparing Edited Variable Amplitude Loading History Using Genetic Algorithm

Satisfying Statistical Constraints in Preparing Edited Variable Amplitude Loading History Using Genetic Algorithm

Eliminating the Undamaging Fatigue Cycles Using the Frequency Spectrum Filtering Techniques

From numerical calculations to materials testing homologation: a biaxial fatigue reliability prediction methodology for structural components

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