Crack growth-based fatigue life prediction using an equivalent initial flaw model. Part I: Uniaxial loading

Xiang, Yibing; Lu, Zizi; Liu, Yongming

doi:10.1016/j.ijfatigue.2009.07.011

Cited by 79 publications

(52 citation statements)

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“…2 , the value of CAFL would decrease as the crack size increases because the value of th K remains constant. It is concluded that this condition would subsequently allow slightly lower magnitude stress-range cycles in a spectrum to contribute to the crack growth [5,[8][9].…”

Section: The Concept Of Bi-linear S-n Curvesmentioning

confidence: 99%

Fatigue Life Evaluation of in-Service Steel Bridges by Using Bi-Linear S-N Curves

Yen¹,

李海汀²,

王春生³

et al. 2015

Volume 11 Number 3

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ABSTRACT:The in-service steel bridges are often required to carry increasing volume of traffic and heavier trucks or freight trains. More attention should be paid to possible fatigue damages of such structures. It has been reported that for many structure details with an equivalent stress range below the constant amplitude fatigue limit (CAFL) and free of fatigue cracks, calculations show that the remaining fatigue life has been exhausted. This condition indicates that it could be too conservative to predict the remaining fatigue life of in-service steel bridges by utilizing the equivalent constant amplitude stress ranges with the direct extension of S-N curves of AASHTO specifications with a slope of -3 to below the CAFL. This over-prediction of fatigue damage may lead to unnecessary rehabilitation and maintenance actions. For a better fatigue life evaluation and prediction, a set of bi-linear S-N curves with a break at the CAFL for the AASHTO fatigue strength categories and with a slope of -4 below, has been proposed for fatigue life evaluation of in-service structures. This paper applies the concept of the equivalent constant amplitude stress range for bi-linear curves to AASHTO specifications and Eurocode. Cases of fatigue evaluation of in-service steel bridge components are studied by correlating the field-measured live-load stresses with the bi-linear S-N curves. Comparative results from the bi-linear S-N curve approach, the current AASHTO specifications and Eurocode approach are presented.

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Section: The Concept Of Bi-linear S-n Curvesmentioning

confidence: 99%

Fatigue Life Evaluation of in-Service Steel Bridges by Using Bi-Linear S-N Curves

Yen¹,

李海汀²,

王春生³

et al. 2015

Volume 11 Number 3

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“…Previous researches showed that cracks initiated at the very beginning of fatigue life and the propagation of small crack were influenced by the inherent microstructure resulting in the abnormal propagation behavior as compared with the long crack behavior [29][30][31][32]. Therefore, the precise measurement of small crack growth rate and the good understanding of small crack growth mechanism are very important in the reliable prediction of the fatigue life of materials [33][34][35][36][37][38][39][40][41][42][43][44][45][46].…”

Section: Fatiguementioning

confidence: 99%

Defect Characterization Based on Eddy Current Technique: Technical Review

Ghoni

Dollah

Sulaiman

et al. 2014

Advances in Mechanical Engineering

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Eddy current testing is widely used for nondestructive evaluation of metallic structures in characterizing numerous types of defects occurring in various locations. It offers remarkable advantages over other nondestructive techniques because of its ease of implementation. This paper presents a technical review of Eddy current technique in various scope of defect detection. The first part presents Eddy current evaluation on various defects location and orientation such as steam generator tubes, stress crack corrosion, and fatigue cracks. The next section analyzes the use of pulsed Eddy current and pulsed Eddy current thermography as an alternative method for monitoring the growth of cracks with the aid of computational techniques for postsignal analysis.

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“…Two major components of the crack phase will occur during the fatigue failure process: the initiation, and the propagation of fatigue cracks under cycling load (Xiang et al, 2010;Domínguez Almaraz et al, 2010;Kamal et al, 2012;Zulkifli et al, 2011). The summation of these components in number of cycles is called the fatigue life, and the stress or strain under which the fatigue life occurs is defined as the fatigue strength.…”

Section: Prediction Of Fatigue Lifementioning

confidence: 99%

“…The second method of fatigue life prediction is used to calculate the number of cycles for failure of a component by taking into account the equivalent initial flaw size (EIFS). The basic equation for calculating the EIFS using a short crack has been proposed by several researchers (El Haddad et al, 1979;Xiang et al, 2010). The equation expresses the fatigue endurance by using the fatigue threshold stress intensity factor ΔΚ th , crack length a, and a geometry correction factor Y=0.73, which is crack configuration dependent (Nan et al, 2008):…”

Section: Prediction Of Fatigue Lifementioning

confidence: 99%

Fatigue Life Prediction of Commercially Pure Titanium after Nitrogen Ion Implantation

Ali¹,

Mustapa²,

Ghazali³

et al. 2013

Int J Automot Mech Eng

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Prediction of fatigue life has become an interesting issue in biomaterial engineering and design for reliability and quality purposes, particularly for biometallic material with modified surfaces. Commercially pure titanium (Cp-Ti) implanted with nitrogen ions is a potential metallic biomaterial of the future. The effect of nitrogen ion implantation on fatigue behavior of Cp-Ti was investigated by means of axial loading conditions. The as-received and nitrogen-ion implanted specimens with the energy of 100 keV and dose of 2 × 10 17 ions cm -2 , were used to determine the fatigue properties and to predict the life cycle of the specimens. The effect of nitrogen ion implantation indicated revealed improved the tensile strength due to the formation of nitride phases, TiN and Ti 2 N. The fatigue strength of Cp-Ti and Nii-Ti was 250 and 260 MPa, respectively. The analytical results show good agreement with experimental results.

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Crack growth-based fatigue life prediction using an equivalent initial flaw model. Part I: Uniaxial loading

Cited by 79 publications

References 0 publications

Fatigue Life Evaluation of in-Service Steel Bridges by Using Bi-Linear S-N Curves

Fatigue Life Evaluation of in-Service Steel Bridges by Using Bi-Linear S-N Curves

Defect Characterization Based on Eddy Current Technique: Technical Review

Fatigue Life Prediction of Commercially Pure Titanium after Nitrogen Ion Implantation

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