Probabilistic Analysis of Fatigue Behavior of Single Lap Riveted Joints

Armentani, Enrico; Greco, Alessandro; Luca, A. De; Sepe, Raffaele

doi:10.3390/app10103379

Cited by 16 publications

(14 citation statements)

References 24 publications

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“…However, fatigue analysis is performed by considering that the fatigue life depends on the average value and on the amplitude of the fluctuating loads [16]. However, since several mechanical components are subjected to fluctuating load conditions, then fatigue analysis is required in order to estimate their lifetime [17,18]. On the other hand, fatigue analysis requires an estimation of the cycles to failure, which is achieved when a set of n samples are tested to failure.…”

Section: Generalities Of Fatigue Analysismentioning

confidence: 99%

Fatigue-Life Prediction of Mechanical Element by Using the Weibull Distribution

2020

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Applying Goodman, Gerber, Soderberg and Elliptical failure theories does not make it possible to determine the span of failure times (cycles to failure-Ni) of a mechanical element, and so in this paper a fatigue-life/Weibull method to predict the span of the Ni values is formulated. The input’s method are: (1) the equivalent stress (σeq) value given by the used failure theory; (2) the expected Neq value determined by the Basquin equation; and (3) the Weibull shape β and scale η parameters that are fitted directly from the applied principal stress σ1 and σ2 values. The efficiency of the proposed method is based on the following facts: (1) the β and η parameters completely reproduce the applied σ1 and σ2 values. (2) The method allows us to determine the reliability index R(t), that corresponds to any applied σ1i value or observed Ni value. (3) The method can be applied to any mechanical element’s analysis where the corresponding σ1 and σ2, σeq and Neq values are known. In the performed application, the σ1 and σ2 values were determined by finite element analysis (FEA) and from the static stress analysis. Results of both approaches are compared. The steps to determine the expected Ni values by using the Weibull distribution are given.

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Section: Generalities Of Fatigue Analysismentioning

confidence: 99%

Fatigue-Life Prediction of Mechanical Element by Using the Weibull Distribution

2020

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“…In this work, the author presents how the squeeze force affects the residual stresses around the hole, which affects the fatigue strength. Armentani also observed two types of fracture, through the hole and in the proximity of the hole [ 10 ], depending on the level of stress: the higher the applied stress, the more cracking through the hole.…”

Section: Introductionmentioning

confidence: 99%

Material Model Effect for Simulating a Single-Lap Joint with a Blind Rivet

Lubas

Bednarz

2021

Materials

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This paper concerns the influence of the material modeling method on the results of strength analyses. The research object was a single lap joint with a blind rivet (ISO 12996). The results of numerical strength analysis for various configurations of material models with material and contact nonlinearity were compared not only with the experimental results of such a connection but also with the values estimated using classical analytical tools (pressure stress and Hertz stress). The research aimed to determine how the results of numerical analyses (FEMs) were influenced by the method of modeling the material model and how it relates to the experimental results. As part of the analyses, a discrete riveted model and material models were constructed. The analyses took into account various load cases (from 10 to 90% of the connection capacity) to better illustrate the relationship between the numerical and experimental results. As a result of the conducted analyses, it was determined that the linear-elastic model was an acceptable and suggested solution (with a load of up to 90% of the load capacity of the joint connection) for further tests. The work was summarized with general and specific conclusions relating to all cases of numerical modeling. In addition, the summary includes suggestions for future works.

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“…[6] General or detailed visual inspections (DVI) are performed during A and B-check (∼100 flights), while structural maintenance is typically performed by using non-destructive tests (NDT) [7] during the C and D-check (4000 ÷ 20 000 cycles) according to a fixed schedule in concertation with certification authorities. [8] Since inspection process is the major driver of maintenance cost, the structural health monitoring (SHM) systems have been introduced in aviation industry [9,10] for moving from the scheduled maintenance based on manual inspection to the condition based DOI: 10.1002/masy.202000302 maintenance (CBM) or even more to predictive maintenance (PdM). SHM systems allow to monitor and detect the damages by on board sensors attached to supervised structure, [11] such as fuselage, landing gears and bulkheads.…”

Section: Introductionmentioning

confidence: 99%

Aircraft Maintenance: Structural Health Monitoring Influence on Costs and Practices

Manco

Caterino

Macchiaroli

et al. 2021

Macromolecular Symposia

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The structural health monitoring (SHM) represents an evolution of the traditional way to design and maintain mechanical structures. SHM systems allow to continuously (or discretely) monitor the structural integrity of an asset, not waiting for the planned check. This result implies an important reduction of inspection time and guarantees an improvement of service life cost of the structural components, but how and how much this cost can be influenced is still an open issue. This research addresses the identification of previous studies that dealt with this topic. A systematic literature review (SLR) is carried out with the aim of investigating the current SHM state-of-the art in the aircraft industry in order to point out the main advantages deriving from the application of these technologies and the existing gaps and limitations. Three database (Scopus, Web of science and Google Scholar) are used for selecting peer-reviewed papers that address with evidence the changes in maintenance practices resulting from the use of SHM. The analysis proves the differences between the traditional programmed maintenance and the innovative predictive approach based on SHM information in terms of interval inspection policy and costs. Moreover, the technical limits that do not allow to totally exploit the potential strength of SHM are outlined.

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Probabilistic Analysis of Fatigue Behavior of Single Lap Riveted Joints

Cited by 16 publications

References 24 publications

Fatigue-Life Prediction of Mechanical Element by Using the Weibull Distribution

Fatigue-Life Prediction of Mechanical Element by Using the Weibull Distribution

Material Model Effect for Simulating a Single-Lap Joint with a Blind Rivet

Aircraft Maintenance: Structural Health Monitoring Influence on Costs and Practices

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