mmme2053 notes on fatigue and fracture

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---
author: Akbar Rahman
date: \today
title: MMME2053 // Fatigue
tags: [ mmme2053, fatigue, materials, uni, engineering ]
uuid: 23852418-9fbb-44b8-a697-3c8b566e5143
---
# Stages of Fatigue
## 1: Crack Initiation
- happens on a micro-structural level
- causes the start fatigue cracks
- persistent slip bands form at the surface
- they are the result of dislocations moving along crystallographic planes
- leads to slip band intrusions and extrusions on the surface
- act as stress concentrations, **leading to crack initiation**A
![](./images/vimscrot-2022-11-03T14:11:47,770744805+00:00.png)
- crystallographic slip is controlled by shear stresses rather than normal stresses
- therefore cracks tend to initially grow in a plane of maximum shear stress range
- this leads to short cracks, usually on the order of a few grains
![The loading in this figure is horizontal tension](./images/vimscrot-2022-11-03T14:13:13,910050859+00:00.png)
## 2: Crack Propagation
- the fatigue cracks tend to join together with more cycles
- they grow along planes of maximum tensile stress
![](./images/vimscrot-2022-11-03T14:15:30,939765129+00:00.png)
## 3: Final Fracture
- occurs when crack reaches critical length
- results in either
- ductile tearing (plastic collapse)
- cleavage (brittle fracture)
# Total Life Approach (Estimating Lifetime of a Part)
- based on lab tests
- carried out under controlled loading conditions
- either stress or strain controlled loading conditions
- performed on idealised specimens
- specimens usually have finely polished defects (minimises surface roughness effects, affecting
stage 1 crack initiation)
- tests give number of loading cycles to the initiation of a measurable crack as a function of
applied stress or strain parameters
- measurability is dictated by the accuracy of the crack detection method used
- this is typically between 0.75 mm to 1.00 mm
- the challenge of fatigue design is to then relate the tests to actual component lives under
real loading conditions
- traditionally, most fatigue testing was based stress controlled conditions with mean stress,
$S_m = 0$, which is known as a fully reversed load
- the data was presented in the form of S-N curves (either semi-log or log-log plots) of alternating
stress, $S_a$, against cycles to failure, $N$ (failure defined as fracture)
![](./images/vimscrot-2022-11-03T14:31:30,946882039+00:00.png)
- figure \ref{fig:typical-s-n} contains schematic representations of two typical S-N curves
- part _(a)_ shows a continuously sloping curve
- part _(b)_ shows a discontinuity ("knee") in the curve---this is only found in a few materials
(notably low strength steels) between $10^6$ and $10^7$ cycles under non-corrosive conditions
![\label{fig:typical-s-n}](./images/vimscrot-2022-11-03T14:34:36,090286120+00:00.png)
- the curves are normally drawn through the median life value
- therefore represent 50 percent expected failure
- fatigue strength, $S_e$, is a hypothetical value of stress range at failure for exactly $N$ cycles
as obtained from an S-N curve
- fatigue limit (or endurance limit) is the limiting value of the median fatigue strength as $N$
becomes very large ($>10^8$)
# Effect of Mean Stress
- mean stress has a significant effect on fatigue behaviour in cyclically loaded components
- in figure \ref{fig:effect-of-mean-stress} you can see tensile mean stresses reduce fatigue life
- compressive stresses increase fatigue life
![\label{fig:effect-of-mean-stress}](./images/vimscrot-2022-11-03T14:31:30,946882039+00:00.png)
- effect of mean stress commonly represented as a plot of $S_a$ against $S_m$ for a given fatigue
life
- attempts have been made to generalise the relationship, as shown in figure \ref{fig:s_a-s_m}
![\label{fig:s_a-s_m}](./images/vimscrot-2022-11-03T14:45:42,986596633+00:00.png)
- modified Goodman line assumes linear relationship, where gradient and intercept are defined by
fatigue life, $S_e$, and material UTS, $S_u$, respectively
- Gerber parabola employs same intercepts but relationship is a parabola
- Soderberg line assumes linear relationship but the x intercept (mean axis end point) is taken
as yield stress, $S_y$
- these curves can be extended into the compressive mean stress region to give increasing allowable
alternating stress with increasing compressive mean stress
- this is normally taken to be horizontal for design purposes and conservatism
# Effect of Stress Concentrations
- fatigue failure is most commonly associated with notch-type features
- stress concentrations associated with notch-type features typically leads to local plastic strain
and eventually fatigue cracking
- the estimation of stress concentration factors (SCFs) are typically expressed in terms of an
elastic SCF, $K_t$:
$$K_t = \frac{\sigma^{\text{el}}_{\text{max}}}{\sigma_{\text{nom}}}$$
- the fatigue strength of a notched component can be predicted with the fatigue notch factor, $K_f$,
which is defined as the ratio of the fatigue strengths:
$$K_f= \frac{S_a^{\text{smooth}}}{S_a^{\text{notch}}}$$
> i thought $S_a$ is alternating stress and $S_e$ is fatigue strength but the
> [uni slides](./lecture_slides/fatigue_and_failure_1.pdf) (slide 18) say otherwise :sob:
> TODO: find out what it's meant to be for sure
- however $K_f$ is found to vary with both alternating stress level and mean stress level and thus
number of cycles
- figure \ref{fig:effect-of-notch} shows the effect of a notch, with $K_t = 3.4$, on the fatigue
behaviour of wrought aluminium alloy
![\label{fig:effect-of-notch}](./images/vimscrot-2022-11-03T15:22:29,993209954+00:00.png)
# S-N Design Procedure for Fatigue
- constant life diagrams plotted as $S_a$ against $S_m$ (also known as Goodman diagrams)
(figure \ref{fig:goodman-diagram}) can be used in design to give safe estimates of fatigue life
and loads
![\ref{fig:goodman-diagram}](./images/vimscrot-2022-11-03T15:40:37,514148113+00:00.png)
- the fatigue strength for zero mean stress is is reduced by the fatigue notch factor, $K_f$
- $K_t$ is used if $K_f$ is not known
- for static loading of a ductile component with a stress concentration, failure still occurs
when mean stress, $S_m$, is equal to UTS
- failure at intermediate values of mean stress is assumed to be given by the dotted line
- in order to avoid yield of whole cross-section of component, maximum nominal stress must be less
than the yield stress, $S_y$:
$$S_m + S_a < S_y$$
## Safety Factor, $F$
- determined from the position of the point relative to the safe/fail boundary:
$$\frac1F = \frac{S_aK_f}{S_e} + \frac{S_m}{S_u}$$
<details>
<summary>
Derivation
<summary>
$$F = \frac{OB}{OA}$$
from similar triangles we get
$$\frac{S_a}{\frac{S_u}{F} - S_m} = \frac{S_e}{K_fS_u}$$
</details>
# Failure Examples
## Bicycle Crank Arm
![](./images/vimscrot-2022-11-03T14:37:49,949154012+00:00.png)
![](./images/vimscrot-2022-11-03T14:37:57,733079705+00:00.png)
## D.H.-106 Comet Failure
- 1st production jet liner (debut in 1952)
- several crashed in 1954 led to an inquiry
- water tank testing and examination of a recovered fuselage showed that failure originated at a
square corner window
- future designs used oval windows
![](./images/vimscrot-2022-11-03T14:39:35,250528225+00:00.png)
![](./images/vimscrot-2022-11-03T14:39:41,710507511+00:00.png)
# Glossary (of Symbols)
- notch stress concentration factor, $K_f$
- stress concentration factor, $K_t$
- alternating stress, $S_a$
- fatigue strength, $S_e$ --- hypothetical value of stress range at failure for exactly $N$ cycles
- mean stress, $S_m$
- ultimate tensile stress, $S_u$
- yield strength, $S_y$

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---
author: Akbar Rahman
date: \today
title: MMME2053 // Fracture
tags: [ uni, mmme2053, fracture, materials, engineering ]
uuid: 17315e63-3870-428b-b65d-a5d249768c05
---
# Fracture
- Consider the stress concentration factor (SCF) for an elliptical hole in a large, linear-elastic
plate subjected to a remote, uniaxial stress
![](./images/vimscrot-2022-11-03T16:16:29,022777996+00:00.png)
- It can be shown that SCF can be expressed as:
$$K_t = \frac{\sigma_\text{max}^\text{el}}{\sigma_\text{nom}} = 1 + 2\frac{a}{b}$$
- Therefore as $b \rightarrow 0$, the hole degenerates to a crack and $\frac ab \rightarrow \infty$
$\therefore K_t \rightarrow \infty$, provided the material behaviour remains linear elastic
# Basis of the Energy Approach to Fracture Mechanics
There are three modes of loading cases: $K_\text{I}$, $K_\text{II}$, $K_\text{III}$.
- Generally, for geometries with finite boundaries, $K_\text{I}$ is used:
$$K_\text{I} = Y\sigma\sqrt{a\pi}$$
where $Y$ is a function of the crack and $a$ is never mentioned in
[the slides](./lecture_slides/fatigue_and_failure_2.pdf) (slide 6)
> TODO: find out what $Y$ and $a$ are
- $K_\text{I}$ is the Mode-1 stress-intensity factor which defined the magnitude of the elastic stress
field in the vicinity of the crack tip
- $K_\text{II}$ and $K_\text{III}$ are similar
- The energy release release rate under mixed loading is given by
$$K_\text{total} = K_\text{I} + K_\text{II} + K_\text{III}$$
![](./images/stress-intensity-factors.png)
## Typical Fracture Toughness Values
Material | $\sigma_y$ / Nm$^{-2}$ | $K_\text{Ic}$ / Nm$^{-1.5}$
----------------------------- | ---------------------- | ---------------------------
Mild steel | 220 | 140 to 200
Pressure vessel steel (HY130) | 1700 | 170
Aluminium Alloys | 100 to 600 | 45 to 23
Cast Iron | 200 to 1000 | 20 to 6
# Fatigue Crack Growth
- for a wide range of conditions, there is a logarithmic linear between crack growth rate and
intensity factor range during cyclic loading of cracked components
- it allows crack growth to be modelled and estimated based on
- knowledge of crack and component geometry
- loading conditions
- empirical crack growth data
Considering a load cycle as shown in figure \ref{fig:p-vs-t} which gives rise to a load acting on
a cracked body
![A graph of P vs t \label{fig:p-vs-t}](./images/P_vs_t.png)
- The load range and crack geometry gives rise to a cyclic variation in stress intensity factor:
$$\Delta K = K_\text{max} - K_\text{min}$$
- Paris showed that subsequent crack growth can be modelled by following equation
$$\frac{\mathrm{d}a}{\mathrm{d}N} = C\Delta K^m$$
where $C$ and $m$ are empirically determined material constants.
- Fatigue crack growth data is often as $\log \frac{\mathrm{d}a}{\mathrm{d}N}$ against $\log{\Delta K}$
![](./images/fatigue_and_failure_2_-019.png)
- Below $K_\text{th}$, no observable crack growth occurs
- Region II shows a near linear relationship---this is the region which fail by fatigue failure spend
most of their life
- In region III rapid crack grown occurs and little life is involved
- the fatigue crack growth life of the component can be obtained by integrating the Paris equation
between the limits of the initial crack size and final crack size, given that you know the
stress intensity factor
## Typical Values for $\Delta K_\text{th}$, $m$, and $\Delta K$
Material | $\Delta K_\text{th}$ | $m$ | $\Delta K$ for $\frac{\mathrm{d}a}{\mathrm{d}N} = 10^{-6}$
--------------- | -------------------- | --- | -------------
Mild Steel | 4 to 7 | 3.3 | 6.2
Stainless Steel | 4 to 6 | 3.1 | 6.3
Aluminium | 1 to 2 | 2.9 | 2.9
Copper | 1 to 3 | 3.9 | 4.3
Brass | 2 to 4 | 4.0 | 4.3 to 66.3
Nickel | 4 to 8 | 4.0 | 8.8

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