# Random Response Fatigue Analysis

The study of fatigue life of structures under Random Loading.

The setup is similar to a Random Response Analysis setup, with an additional Fatigue
subcase. The `LCID` field on the FATLOAD entry
references the subcase ID of the Random Response Analysis subcase.

Power Spectral Density (PSD) results from the Random Response Analysis are used to calculate Moments ($${m}_{n}$$) that are used to generate the probability density function for the number of cycles versus the stress range.

The PSD Moments are calculated based on the Stress PSD generated from the Random Response Analysis, as shown below.

## Input

Calculates Random Response Fatigue.

### Power Spectral Density (PSD) Moments

- ${f}_{k}$
- Frequency value
- ${G}_{k}$
- PSD response value at frequency ${f}_{k}$

The stability of ${m}_{0}$ can be checked by setting PARAM, CHKM0, YES. A warning is printed if the frequency interval must be further refined.

### Calculate Probability of Stress Range Occurrence

Calculation of the Probability of occurrence of a stress range between the initial and final stress range values within each bin section are user-defined.

The probability $P\left(\text{\Delta}{S}_{i}\right)$ of a stress range occuring between $\left(\text{\Delta}{S}_{i}-\delta S/2\right)$ and $\left(\text{\Delta}{S}_{i}+\delta S/2\right)$ is $P\left(\text{\Delta}{S}_{i}\right)={p}_{i}\delta S$.

### Probability Density Function (probability density of number of cycles versus stress range)

PSD Moments calculated as shown above are used in the generation of a Probability
Density Function $f({m}_{n})$ for the stress range. The function is based on the
specified damage model on the `RNDPDF` continuation line on
FATPARM. Currently, DIRLIK, LALANNE,
NARROW, and THREE options are available to
define the damage model. Multiple damage
models are also supported (the worst damage is selected for output from the
specified damage models).

- ${D}_{1}=\frac{2\left({x}_{m}-{\gamma}^{2}\right)}{1+{\gamma}^{2}}$
- ${D}_{2}=\frac{1-\gamma -{D}_{1}+{D}_{1}^{2}}{1-R}$
- ${D}_{3}=1-{D}_{1}-{D}_{2}$
- $Z=\frac{S}{2\sqrt{{m}_{0}}}$
- $Q=\frac{1.25\left(\gamma -{D}_{3}-{D}_{2}R\right)}{{D}_{1}}$
- $R=\frac{\gamma -{x}_{m}-{D}_{1}^{2}}{1-\gamma -{D}_{1}+{D}_{1}^{2}}$
- $\gamma =\frac{{m}_{2}}{\sqrt{{m}_{0}{m}_{4}}}$
- Irregularity Factor
- ${x}_{m}=\frac{{m}_{1}}{{m}_{0}}\sqrt{\frac{{m}_{2}}{{m}_{4}}}$
- $S$
- Stress range

- $\gamma =\frac{{m}_{2}}{\sqrt{{m}_{0}{m}_{4}}}$
- Irregularity factor
- $S$
- Stress range

Where, $S$ is the stress range.

In the NARROW band model, if the irregularity factor is less than 0.95, then OptiStruct will issue a warning that the irregularity factor is small. Ideally, the irregularity factor should be 1.0 if the signal is NARROW band.

By default, OptiStruct uses number of zero crossings (${n}_{zcross}=\sqrt{{m}_{2}/{m}_{0}}$) instead of number of peaks (${n}_{peaks}=\sqrt{{m}_{4}/{m}_{2}}$) for NARROW band, because the numerical calculations involving ${m}_{4}$ sometimes may lead to unstable numerical behavior. If the signal is ideally NARROW band, the number of zero crossings and number of peaks should almost be equal. However, PARAM,NBZRCRS,NO can be used to switch OptiStruct to using number of peaks (${n}_{peaks}$ ) for NARROW band.

The Steinberg 3-Band Random Fatigue Damage model uses the following probability function.

Where, $S$ is the stress range.

`RANDOM`continuation line of FATPARM:

`FACSREND`- Calculates the upper limit of the stress range
(
`SREND`). This is calculated as`SREND`= 2*RMS Stress*FACSREND. The RMS Stress is output from Random Response Subcase. The stress ranges of interest are limited by`SREND`. Any stresses beyond`SREND`are not considered in Random Fatigue Damage calculations. `SREND`- Directly specifies the upper limit of the stress range (if
`SREND`is blank, then the`SREND`calculated based on`FACSREND`is used). `NBIN`- Calculates the width of the stress range (
`DS`= $\delta S$) for which the probability is calculated (Figure 2). The default is 100 and the first bin starts from 0.0 to $\delta S$. The width of the stress range is calculated as`DS`=`SREND`/`NBIN`. `DS`- Directly defines the width of the stress ranges ($\delta S$). (if
`DS`is blank, then the`DS`calculated based on`NBIN`is used).

### Calculate Probability of Stress Range Occurrence

Calculation of the Probability of occurrence of a stress range between the initial and final stress range values within each bin section are based on the damage models.

The probability $P\left({S}_{i}\right)$ of a stress range occurring between $\left({S}_{i}-\delta S/2\right)$ and $\left({S}_{i}+\delta S/2\right)$ is $P\left({S}_{i}\right)={p}_{i}({S}_{i})\delta S$.

Where, $S$ is stress range.

For the THREE damage model, there are only three bins. The number of cycles at each stress range (2*RMS, 4*RMS, and 6*RMS) are calculated by directly multiplying the corresponding probabilities with the total number of zero-crossings (refer to section below regarding calculation of number of zero-crossings).

### Select Damage Models

`PDFi`fields of the

`RNDPDF`continuation line on the FATPARM Bulk Data Entry. The following information may provide additional understanding to help choose the damage model for an OptiStruct run.

- You can see from the previous sections, that the PSD moments of stress are used to calculated corresponding moments, which are used to determine the probability density function for the stress-range.
- DIRLIK and LALANNE models generate probabilities across a wider distribution of the stress-range spectrum. Therefore, these models should be used when the input random signal consists of a variety of stress-ranges across multiple frequencies. Therefore, the information in the probability density function better captures the wider range in stress-range distribution if DIRLIK and LALANNE are used.
- The NARROW model is intended for random signals for which the stress range is expected to be closely associated with a high probability of particular certain stress range distribution. Therefore, if you know that the input random data does not have a wide range of stress-range distribution, and that the distribution is mainly concentrated about a particular stress range, then you should select NARROW, since it expects the highest probability of stress-ranges to lie at or around this particular stress range.
- The THREE model is like the NARROW model, except that it expects the distribution of the random signal to contain, in addition to the association with 1*RMS, associations (albeit smaller) with 2*RMS, and 3*RMS. Therefore, if your input random data is mainly clustered around stress ranges in 1*RMS, and to a lesser extent, 2*RMS, and 3*RMS, then you should select THREE.

### Number of Peaks and Zero Crossings

Where, $${m}_{n}$$ is the corresponding moments calculated, as shown in Power Spectral Density (PSD) Moments.

Where, $$T$$ is Total exposure time given by the `T#` fields on the `FATSEQ` Bulk Data
Entry.

### Fatigue Life and Damage

To account for the mean stress correction with any loading that leads to a mean
stress different from zero, you can define a static subcase that consists of such
loading (typically gravity loads). This static subcase can be referenced on the
`STSUBID` field of the RANDOM
continuation line.