A comparison between S-N Logistic and Kohout-Věchet formulations applied to the fatigue data of old metallic bridges materials

Barbosa, Joelton Fonseca; Correia, José A.F.O.; Montenegro, Pedro Aires; Júnior, Raimundo Carlos Silvério Freire; Lesiuk, Grzegorz; Jesus, Abílio M.P. De; Calçada, Rui

doi:10.3221/igf-esis.48.38

Cited by 17 publications

(4 citation statements)

References 10 publications

(14 reference statements)

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“…( 7)) and the mean relative error (MRE) (Eq. ( 8)) of the number of cycles computed from critical node and PM/TCD approach were estimated and presented in Table 7, according to Barbosa et al [27,28,29]. The consistency of the results obtained confirms the improvement of the fatigue predictions using the PM/TCD method regarding the critical node approach.…”

Section: Calibration Of the Tcd Methods On Lcf And Ulcf Life Predictionmentioning

confidence: 67%

Low and ultra-low-cycle fatigue behavior of X52 piping steel based on theory of critical distances

Pereira

Jesus

Xavier

et al. 2020

International Journal of Fatigue

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The cyclic failure observed in structural components such as pipelines subjected to extreme loading conditions highlights some limitations concerning the application of existing fatigue damage models. The evaluation and prediction of this type of failure in these steel components under large-scale plastic yielding associated with high levels of stress triaxiality are not sufficiently known nor explored. This fatigue domain is conventionally called ultra-low-cycle fatigue (ULCF) and damage features are representative of both low-cycle fatigue (LCF) and monotonic ductile fracture. Thus, in order to understand the ULCF damage mechanisms both monotonic and LCF tests are required to get representative bounding damage information to model the material damage behaviour under such extreme loading conditions. This paper aims at exploring the Theory of Critical Distances (TCD) in the LCF and ULCF fatigue regimes, including the application of the point, line and area methods. The application of the TCD theories has not been explored so far in the ULCF fatigue regimes, despite its promising results in the LCF and high-cycle fatigue. An experimental program was carried out on several specimens' geometries made of X52 piping steel. In detail, smooth plane specimens and notched plane specimens were cyclic loaded under tension/compression loading in order to obtain fatigue lives within the range of 10 1 -10 4 cycles. In addition, cyclic bending tests on notched plane specimens were also incorporated in this study. Finite element simulations of all small-scale tests were conducted allowing to derive elastoplastic stress/strain fields along the potential crack paths. The numerical data were subjected to a post-processing in order to find characteristic lengths that can be treated as a fatigue property according to the TCD. A unified strain-life relation is proposed for the X52 piping steel together with a characteristic material length, consisting of a practical relation for pipeline strain-based design under extreme cyclic loading conditions.

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Section: Calibration Of the Tcd Methods On Lcf And Ulcf Life Predictionmentioning

confidence: 67%

Low and ultra-low-cycle fatigue behavior of X52 piping steel based on theory of critical distances

Pereira

Jesus

Xavier

et al. 2020

International Journal of Fatigue

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“…The number of specimens for each material used in this study can be found in Table 1 and are within the limits indicated by the ASTM E739 standard. Figures 2 and 3 show examples of the generation of S-N reliability curves using experimental fatigue data (stress R-ratio equal to -1) of metallic material from the Luı´z I Bridge in Portugal 66 and experimental data of laminate DD16 (stress R-ratio equal to 0.8) collected from Mandell and Samborsky, 67 respectively. The laminate DD16 is a glass fiber-reinforced plastic, manufactured by the resin transfer process using an orthopolyester matrix, reaching a fiber volume ratio of 36%.…”

Section: Fatigue Modelsmentioning

confidence: 99%

“…Despite the simple application of ASTM E739 and the need for a small experimental dataset, its limitations include being unable to describe the fatigue behavior of the material, restricting application to the region where the experimental data are found; being unable to simultaneously assess regions with low-and high-fatigue cycles, as reported by Barbosa et al; 66 and only allowing the use of log-normal distribution, neglecting the recognized importance of the Weibull distribution in failure analysis.…”

Section: Fatigue Modelsmentioning

confidence: 99%

Probabilistic S-N fields based on statistical distributions applied to metallic and composite materials: State of the art

Barbosa

Correia

Júnior

et al. 2019

Advances in Mechanical Engineering

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Fatigue life prediction of materials can be modeled by deterministic relations, via mean or median S-N curve approximation. However, in engineering design, it is essential to consider the influence of fatigue life scatter using deterministic-stochastic methods to construct reliable S-N curves and determine safe operation regions. However, there are differences between metals and composites that must be considered when proposing reliable S-N curves, such as distinct fracture mechanisms, distinct ultimate strengths under tension and compression loading, and different cumulative fatigue damage mechanisms including low-cycle fatigue. This study aims at conducting a review of the models used to construct probabilistic S-N fields ( P-S-N fields) and demonstrate the methodologies applied to fit the P-S-N fields that are best suited to estimate fatigue life of the selected materials. Results indicate that the probabilistic Stüssi and Sendeckyj models were the most suitable for composite materials, while, for metals, only the probabilistic Stüssi model presented a good fitting of the experimental data, for all fatigue regimes.7

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“…More precise measurements and analysis are required to estimate the behavior of these old materials facing dynamic loads. In that line, recent works on Portuguese metallic bridges [7,8], propose probabilistic approaches to deal with material models uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Material Behavior and Fatigue Assessment of Old Steel Bridges of the Spanish Conventional Rail Network

et al. 2021

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This work presented salient features of the steel behavior of seven metallic bridges close to, or over, 100 years old, among the Spanish conventional rail network as well as the results of a fatigue life expectancy study. A preliminary study of the properties of the constituent materials obtained from the bridges samples was carried out followed by dynamic fatigue tests under service representative loads. Due to the steelmaking techniques in the late 19th and early 20th centuries, disperse fatigue behavior results were obtained. However, the wide safety margins with which these bridges were designed, as well as the mechanical properties of the steel (relatively good mechanical resistance but with low ductility), seem to guarantee a long fatigue life. This estimate decreases sharply with increasing loads.

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A comparison between S-N Logistic and Kohout-Věchet formulations applied to the fatigue data of old metallic bridges materials

Cited by 17 publications

References 10 publications

Low and ultra-low-cycle fatigue behavior of X52 piping steel based on theory of critical distances

Low and ultra-low-cycle fatigue behavior of X52 piping steel based on theory of critical distances

Probabilistic S-N fields based on statistical distributions applied to metallic and composite materials: State of the art

Material Behavior and Fatigue Assessment of Old Steel Bridges of the Spanish Conventional Rail Network

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