Probabilistic analysis of creep crack initiation and growth in pipe components

Nikbin, Kamran; Yatomi, Masataka; Wasmer, Kilian; Webster, G. A.

doi:10.1016/s0308-0161(03)00111-x

Cited by 24 publications

(6 citation statements)

References 17 publications

(34 reference statements)

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“…tensile modulus, strain rate sensitivity (quantified by n in the RR model), it is expected that a Monte Carlo-based approach would be needed, (see e.g. Nikbin et al, 2003).…”

Section: Discussion and Interpretation Of Resultsmentioning

confidence: 99%

A coupled kinetic-constitutive approach to the study of high temperature crack initiation in single crystal nickel-base superalloys☆

O’Dowd

Busso

2006

Journal of the Mechanics and Physics of Solids

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“…tensile modulus, strain rate sensitivity (quantified by n in the RR model), it is expected that a Monte Carlo-based approach would be needed, (see e.g. Nikbin et al, 2003).…”

Section: Discussion and Interpretation Of Resultsmentioning

confidence: 99%

A coupled kinetic-constitutive approach to the study of high temperature crack initiation in single crystal nickel-base superalloys☆

O’Dowd

Busso

2006

Journal of the Mechanics and Physics of Solids

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“…In order to quantify risk of failure, statistical analysis of the data is required. 22 When a statistical analysis is undertaken, Eqs (1), (2), (3) and (9) based on experimental data are re-written aṡ…”

Section: P R O B a B I L I S T I C A N A L Y S I Smentioning

confidence: 99%

“…Uniaxial creep properties and CCG rate data are subject to experimental scatter. In order to quantify risk of failure, statistical analysis of the data is required 22 . When a statistical analysis is undertaken, , and based on experimental data are re‐written as where e with the appropriate subscript is the error in the variables which are obtained from the experimental data and statistical analysis.…”

Section: Probabilistic Analysismentioning

confidence: 99%

“…It has been shown 22 that for both solutions the distribution of C * affected by is a lognormal distribution because is assumed as normal distribution. The distribution affected by error in n is also lognormal for the reference stress solution and might be almost lognormal for EPRI solution, as function of h 1 might be slightly affected by the error in n .…”

Section: Experimental Datamentioning

confidence: 99%

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Sensitivity analysis of creep crack growth prediction using the statistical distribution of uniaxial data

Yatomi

Nikbin

2010

Fatigue Fract Eng Mat Struct

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A B S T R A C T Due to the variables and unknowns in both material properties and predictive models in creep crack growth (CCG) rates, it is difficult to predict failure of a component precisely. A failure strain constraint based transient and steady state CCG model (called NSW) modified using probabilistic techniques, has been employed to predict CCG using uniaxial data as basic material property. In this paper the influence of scatter in the creep uniaxial properties, the parameter C * and creep crack initiation and growth rate have been examined using probabilistic methods. Using uniaxial and CCG properties of C-Mn steel at 360 • C, a method is developed which takes into account the scatter of the data and its sensitivity to the correlating parameters employed. It is shown that for an improved prediction method in components containing cracks the NSW crack growth model employed would benefit from a probabilistic analysis. This should be performed by considering the experimental scatter in failure strain, the creep stress index and in estimating the C * parameter. Keywords Crack growth rate N O M E N C L A T U R Ea = crack lengtḣ a = creep crack growtḣ a i = creep crack growth rate at ith elemenṫ a ss = creep crack growth rate under steady state A = creep coefficient in creep rate b = remaining ligament ahead of crack B n = net section thickness between side-grooves C * = steady state creep characterising parameter e n , e ν , e ε f , e φ , eε, e tr and eȧ = error in n, ν, ε f , φ,ε, t r andȧ, respectively F = geometry factor for experimental estimates of C * D = constant for creep crack growth correlation by C * h 1 = non-dimensional function of geometry H = coefficient of rupture law I n = amplitude function in HRR field K = stress intensity factor n = creep exponent P = applied load P lc = limit load r c = size of creep zone ahead of crack tip t r = time to ruptureCorrespondence: M. Yatomi.

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“…Monte Carlo simulation (MCS) methods [1, 26,27] have been applied to predict the scatter in the crack growth data from the uniaxial creep prope11ies. Two procedures were employed.…”

Section: Prediction Of Creep Crack Growth Datamentioning

confidence: 99%

Prediction of Scatter in Creep Crack Growth Data from Creep Failure Strain Properties

Wasmer

Nikbin

Webster

2006

Journal of ASTM International

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Probabilistic analysis of creep crack initiation and growth in pipe components

Cited by 24 publications

References 17 publications

A coupled kinetic-constitutive approach to the study of high temperature crack initiation in single crystal nickel-base superalloys☆

A coupled kinetic-constitutive approach to the study of high temperature crack initiation in single crystal nickel-base superalloys☆

Sensitivity analysis of creep crack growth prediction using the statistical distribution of uniaxial data

Prediction of Scatter in Creep Crack Growth Data from Creep Failure Strain Properties

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