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Part A: Materials Science

A statistical model of fatigue failure incorporating effects of specimen size and load amplitude on fatigue life

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Pages 2089-2125 | Received 11 Oct 2018, Accepted 10 Apr 2019, Published online: 01 May 2019
 

ABSTRACT

Among many contributing factors, the load range, number of load cycles and specimen geometry (including configuration and size) are three major variables for fatigue failure. Most existing statistical fatigue models deal with only one or two of these three variables. According to the statistical distribution of microcracks with respect to their size and spatial location, a weakest-link probabilistic model for fatigue failure is established to incorporate the combined effect of load range, number of load cycles and specimen size. The model reveals a compound parameter of load range and number of load cycles reminiscent of the empirical formulae of fatigue stress-life curve and its correlation with another compound parameter of cumulative failure probability and specimen size. Four sets of published fatigue test data are adopted to validate the model.

Acknowledgements

Wei-Sheng Lei is indebted to Professors Winfried Dahl and Wolfgang Bleck for hosting an earlier research stay at the Institute of Ferrous Metallurgy (IEHK), RWTH Acchen Technical University under the Alexander von Humboldt Research Fellowship.

Disclosure statement

No potential conflict of interest was reported by the authors.

Nomenclature

a =

microcrack size

ai =

initial microcrack size

amax =

maximum microcrack size

A, L, V=

specimen surface area, length and volume in sequence

A0,L0,V0 =

reference area, length and volume in sequence

E =

elastic modulus

F(σes) =

fracture probability of an existing microcrack

KI =

mode-I stress intensity factor

ΔK =

range of stress intensity factor

Kmax, Kmin =

maximum and minimum stress intensity factors

Kc =

critical stress intensity factor for local failure

Kth,L =

local threshold of stress intensity factor

N =

number of loading cycles

n =

cyclic strain-hardening exponent

P =

cumulative probability

p(σ,a,V0) =

fracture probability of volume element V0 with a microcrack

R =

stress ratio

S =

generalised cyclic load

S¯ =

average value of S on all the possible material planes

s =

microscopic fracture strength

σys =

yield stress

σ1,σ2,σ3 =

principal stresses

σij(t) =

instant stress component at time t

σe, Δσe =

effective stress and its range

σm =

mean stress

σn =

normal stress component

Δσ, Δσnom =

local and nominal stress ranges

σmax, σmin =

maximum and minimum stresses

σa, σa,nom =

local and nominal tensile stress amplitudes

τa,τa,nom =

local and nominal shear stress amplitudes

ε˙ij(t) =

instant strain rate at time t

εmax, εmin =

maximum and minimum strains

Δε, Δεnom =

local and nominal strain ranges

εa,εa,nom =

local and nominal strain amplitudes

εp,a, Δεp =

plastic strain amplitude and plastic strain range

Δγ =

shear strain range

εf =

fatigue ductility coefficient

ΔWt =

total strain energy range

Wg =

strain work density per loading cycle with the period T

Bαβ =

beta function

Hb =

stress heterogeneity factor

ci, mi =

model parameters in Paris’ law for microcracks (i=I,II,III)

c0,d, m, χ, kg0, η1, η2, λ1 =

material constant

B, C, Nth, Sth, σth, xth, Vth, Wth =

thresholds

a0, N0, Nu, S0,Su, ,δ, σ0,0,Wu =

scale parameters

A1, A2, B, Const, c1,c2,D,β1, k,q,W,λ2, λ3, λ3 =

constants

b, c,α,β =

shape factors

Y =

dimensionless parameter dependent on crack geometry

y=f(x1|x2,x3) =

y as a function of variable x1 with given values of variables x2andx3

Ω, ψ =

angles

HCF=

high cycle fatigue

LCF=

low cycle fatigue

VHCF=

very high cycle fatigue

PDF=

probability density function

f(a)=

PDF of microcrack size (a)

g(s)=

PDF of microscopic fracture strength (s)

Additional information

Funding

The financial support of the National Natural Science funding (No. 11872364) and CAS Pioneer Hundred Talents Program is acknowledged.

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