Probabilistic fatigue life analysis of welded steel plate railway bridge girders using S–N curve approach

Rao, K. Balaji; Anoop, M. S.; Raghava, G.; Prakash, M. V. Lakshmi; Rajadurai, A.

doi:10.1177/1748006x13480754

Cited by 7 publications

(7 citation statements)

References 32 publications

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“…B, C and D are three points of logarithm fatigue life at stress level S 1 , respectively. a is a constant, which changes with the position of point B, C or D. AB stands for the median S-N curve when the survival probability P = 0:50, which can be expressed by equation (2). AC and AD are the S-N curves when the survival probability P = P 1 and P = P 2 , respectively.…”

Section: New Methods For Obtaining P-s-n Curvesmentioning

confidence: 99%

“…Because the median S-N curve has been obtained in the first step, then the vertical coordinate of point A can also be figured out by substituting equation (4) in equation (2), as shown in equation (5) lg…”

Section: New Methods For Obtaining P-s-n Curvesmentioning

confidence: 99%

“…Fatigue properties of materials can be illustrated by the S-N curve, which is a graph of the magnitude of a cyclic stress against the cycles to failure. 1,2 Because of the stochastic nature of fatigue damage process, fatigue life of material usually scatters on a large range, even in the well-controlled test conditions. In order to precisely depict the dispersion of fatigue life, the P-S-N (stressnumber of stress cycles to failure with a specified survival probability) curves usually have wider application than the S-N curve, especially in the reliability engineering.…”

Section: Introductionmentioning

confidence: 99%

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A new method for obtaining P-S-N curves under the condition of small sample

Gao

Liu

2017

Proceedings of the Institution of Mechanical Engineers, Part O:

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The P-S-N curves are the traditional tool for design against fatigue, which can be transformed into straight lines in the double logarithm coordinate system. There is a widely accepted assumption that the P-S-N curves will intersect at one point if they are extended to the high-stress or low-fatigue life zone. Based on this assumption and from a perspective of geometry, a new method for obtaining P-S-N curves under the condition of small sample is proposed. The proposed method makes it possible to obtain the P-S-N curves by a unified mathematical expression. The validity of the proposed method is verified by the fatigue test data of aluminum alloy 2524-T3. The result indicates that the P-S-N curves obtained by the proposed method with 17 samples agree well with those obtained by the traditional group test method with 59 samples. By comparison, the number of samples and the fatigue test time are reduced by 71.19%, while the average relative error is less than 5%.

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Section: New Methods For Obtaining P-s-n Curvesmentioning

confidence: 99%

Section: New Methods For Obtaining P-s-n Curvesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A new method for obtaining P-S-N curves under the condition of small sample

Gao

Liu

2017

Proceedings of the Institution of Mechanical Engineers, Part O:

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“…One is to randomize the fatigue life or damage under constant amplitude load. Rao et al [7] considered the uncertainty of stress range and material properties and adopted the probabilistic S-N curve and a fatigue cumulative damage model to obtain the distribution of fatigue life. Shen et al [8] considered the uncertainty of the loading process and the fatigue strength of the material, randomized the damage caused by a single cycle, and found the relationship between the distribution function and the stress amplitude.…”

Section: Introductionmentioning

confidence: 99%

A Novel Probabilistic Fatigue Life Prediction Method for Welded Structures Based on gPC

Gao

Zhang

Yang

et al. 2021

Mathematical Problems in Engineering

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The traditional fatigue life prediction methods based on the S-N curve all believe that the parameters in the model are deterministic constants and can be categorized to the deterministic life prediction. However, in practice, it is difficult to carry out a large number of experiments due to the limitation of time or the possible shortage of funds. In addition, the specimens used in the experiments are not exactly the same, and the test operations and data reading depend on the accuracy of the test equipment as well as the subjective judgment of the testers, which result to the uncertainty of the S-N curve. Therefore, the uncertainty should be considered in order to improve the accuracy of the fatigue life prediction. In this paper, the uncertain factors affecting the fatigue life of welded joints are summarized, and the generalized polynomial chaos (gPC) is introduced into fatigue life prediction. A novel probabilistic fatigue life prediction method combined with the nonlinear cumulative damage model considering the uncertainty of the S-N curve is constructed. An illustrative example is presented to demonstrate the advantages of the proposed approach.

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“…At the present time, the cumulative fatigue damage analysis still plays a key role in predicting the life of components and structures subjected to field-load histories. The cumulative fatigue damage method includes stress-based approach (S-N curve approach) [7], strain-based approach [8], energy-based approach [9], and continuum damage mechanics approach [10]. The fatigue crack propagation theories include long crack growth method [11], physically small crack growth method [12], and microstructurally small crack growth method [13].…”

Section: Introductionmentioning

confidence: 99%

Virtual prototyping-based fatigue analysis and simulation of crankshaft

Zhou

Hou

et al. 2016

Int J Adv Manuf Technol

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Fatigue failure is defined as the progressive degradation of the strength of a structural component during the manufacturing of machine tools. As the increasing demands for high product quality result in a continuing need to achieve improvements in fatigue reliability on machining tools, many researches have been focused on it in recent decades with a result of many valuable contributions. However, current researches always focus on the fatigue analysis of rigid components, and the dimension change, necessary design, and optimization are lacked, while the component of a product is always a rigid-flexible coupling multi-body system, which could affect the accuracy and reliability of fatigue analysis, and parameterization help designers see each dimension change. This paper proposed a process of component fatigue analysis based on rigid-flexible coupling virtual prototyping. In this paper, a crankshaft in the cold heading machine is taken as an example to show the rigid-flexible coupling fatigue analysis process in detail. After the parameterization of the crankshaft is proposed, the static analysis and optimization of the crankshaft is carried out. The dynamics analysis for rigidflexible coupling of the cold heading components is also proposed. The fatigue analysis for the crankshaft is discussed in detail. The crankshaft in the cold heading machine is given as an example, which demonstrates that the methodology is obviously helpful to fatigue analysis and simulation. The physical prototyping is also carried out to demonstrate the fatigue reliability. The crankshaft of cold heading machine is given as an example, which demonstrates that the methodology is obviously helpful to fatigue analysis and simulation.

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Probabilistic fatigue life analysis of welded steel plate railway bridge girders using S–N curve approach

Cited by 7 publications

References 32 publications

A new method for obtaining P-S-N curves under the condition of small sample

A new method for obtaining P-S-N curves under the condition of small sample

A Novel Probabilistic Fatigue Life Prediction Method for Welded Structures Based on gPC

Virtual prototyping-based fatigue analysis and simulation of crankshaft

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