Tensile Components Example: Difference between revisions

From ReliaWiki
Jump to navigation Jump to search
(Created page with '===Tensile Components Example=== A tensile component of a landing gear was put through an accelerated reliability test to determine whether the life goal would be achieved unde…')
 
No edit summary
 
(6 intermediate revisions by 3 users not shown)
Line 1: Line 1:
===Tensile Components Example===
<noinclude>{{Banner ALTA Examples}}</noinclude>
A tensile component of a landing gear is put through an accelerated reliability test to determine whether the life goal would be achieved under the designed-in load. Fifteen units, N=15, are tested at three different shock loads. The component is designed for a peak shock load of 50 kips with an estimated return of 10% of the population by 10,000 cycles (or landings). Using the Inverse Power Law-Lognormal model, determine whether the design life is met.


The following table shows the data from the test.


A tensile component of a landing gear was put through an accelerated reliability test to determine whether the life goal would be achieved under the designed-in load. Fifteen units, N=15, were tested at three different shock loads. The component was designed for a peak shock load of 50 kips with an estimated return of 10% of the population by 10,000 landings. Using the inverse power law lognormal model, determine whether the design life was met.
{|border="1" align="center" style="border-collapse: collapse;" cellpadding="5" cellspacing="5"
 
<br>
{|style= border="1" align="center"
!Failure, in Cycles
!Failure, in Cycles
!Shock Load, kips
!Shock Load, kips
Line 39: Line 38:
|216|| 128
|216|| 128
|}
|}
<br>
====Solution====




The data were entered into ALTA, and the following estimates were obtained for the parameters of the IPL-lognormal model:  
 
The data are entered into the ALTA standard folio, and the following parameters for the IPL-lognormal model are obtained:  




Line 56: Line 54:
  \end{align}</math>
  \end{align}</math>


The following probability plot shows the plot at each test stress level (73 kips, 95 kips and 128 kips) and at the use stress level (50 kips). As you can see, there is a good agreement between the data and the fitted model.
   
   
The probability plot at each test stress level (73 kips, 95 kips and 123 kips) was then obtained, as shown next.
<br>
[[Image:new_3.gif|thumb|center|300px|Probability plots at different shock loads.]]
<br>


In this plot, it can be seen that there is a good agreement between the data and the fitted model. The probability plot at a use stress level of 50 kips is shown next.
[[Image:new_3.gif|center|550px|Probability plot]]
 
 
The probability plot can be used to estimate the cycles-to failure for a 10% unreliability probability of failure. According to the plot, the cycles-to-failure is estimated to be  <math>T(Q=0.10=10%)\approxeq 12,000</math>  landings. (By pressing '''SHIFT''' and clicking the plot, you can display the coordinates and read the value on the X axis that corresponds to a value of 10 in the Y axis.)
 
Another way to obtain life information is to use the Life vs. Stress plot to plot the life line that corresponds to the 10% unreliability. The following plot shows the life line for the 10% unreliability (the first line from the left). For a stress of 50 kips (X-axis) and for the 10% unreliability line, the cycles-to-failure can be obtained by reading the value on the Y-axis. Again,  <math>T(0.1)\approxeq 12,000</math>  landings.


<br>
[[Image:new_4.gif|thumb|center|300px|The probability plot at a use stress level of 50 kips.]]
<br>


Using the Use Level Probability plot, the cycles-to failure for a 10% probability of failure can be estimated. From the plot, this time is estimated to be  <math>T(Q=0.10=10%)\approxeq 12,000</math>  landings.
[[Image:new_5.gif|center|500px|Median Life line (right) and 10% unreliability line (left) vs. stress.]]
Another way to obtain life information is by using a Life vs. Stress plot. Once a Life vs. Stress plot is selected, the 10% unreliability (probability of failure) line must be plotted. To do this, click Life Lines... in the plot panel and and select the 10% Unreliability box (or enter 10 in one of the boxes and select the box) in the Specify Life Lines window, as shown next.


<br>
[[Image:ipl_example_specify_life.gif|thumb|center|300px|]]
<br>


In the following plot, the 10% unreliability line is plotted (the first line from the left). For a stress of 50 psi (X-axis) and for the 10% unreliability line, the cycles-to-failure can be obtained by reading the value on the Y-axis. Again, <math>T(0.1)\approxeq 12,000</math>  landings.
However, a more accurate way to obtain the information is to use the Quick Calculation Pad (QCP) in ALTA. Using the QCP, the life for a 10% probability of failure at 50 kips is estimated to be 11,669.1 landings.  This is very close to the requirement. In addition, this estimate was obtained at the 50% confidence level. In other words, 50% of the time life will be greater than 11,669.1 landings, and 50% of the time life will be less. Thus, we need to obtain an estimate of the lower confidence level before any decisions are made. The following figure shows the QCP calculation that includes a 90% lower 1-sided confidence bound on the estimate. The lower confidence bound is estimated to be 9,680.84 landings. Thus, the 10,000 landings criterion is not quite met.  
<br>
[[Image:new_5.gif|thumb|center|300px|Median Life line (right) and 10% unreliability line (left) vs. stress.]]
<br>


However, a more accurate way to obtain such information is by using the Quick Calculation Pad (QCP) in ALTA. Using the QCP, the life for a 10% probability of failure at 50 kips is estimated to be 11,669.1 cycles (or landings), as shown next.


<br>
[[Image:ipl_example2_qcp.gif|center|500px|]]
[[Image:ipl_example2_qcp.gif|thumb|center|300px|]]
<br>
The design criterion of 10,000 landings is met.

Latest revision as of 04:00, 15 August 2012

ALTA Examples Banner.png


New format available! This reference is now available in a new format that offers faster page load, improved display for calculations and images and more targeted search.

As of January 2024, this Reliawiki page will not continue to be updated. Please update all links and bookmarks to the latest references at ALTA examples and ALTA reference examples.




A tensile component of a landing gear is put through an accelerated reliability test to determine whether the life goal would be achieved under the designed-in load. Fifteen units, N=15, are tested at three different shock loads. The component is designed for a peak shock load of 50 kips with an estimated return of 10% of the population by 10,000 cycles (or landings). Using the Inverse Power Law-Lognormal model, determine whether the design life is met.

The following table shows the data from the test.

Failure, in Cycles Shock Load, kips
1855 73
2158 73
2425 73
2736 73
3206 73
614 95
770 95
781 95
890 95
1055 95
152 128
162 128
173 128
209 128
216 128


The data are entered into the ALTA standard folio, and the following parameters for the IPL-lognormal model are obtained:


[math]\displaystyle{ \begin{align} Std=\ & 0.179080 \\ K=\ & 8.953055E-13 \\ n=\ & 4.638882 \end{align} }[/math]


The following probability plot shows the plot at each test stress level (73 kips, 95 kips and 128 kips) and at the use stress level (50 kips). As you can see, there is a good agreement between the data and the fitted model.


Probability plot


The probability plot can be used to estimate the cycles-to failure for a 10% unreliability probability of failure. According to the plot, the cycles-to-failure is estimated to be [math]\displaystyle{ T(Q=0.10=10%)\approxeq 12,000 }[/math] landings. (By pressing SHIFT and clicking the plot, you can display the coordinates and read the value on the X axis that corresponds to a value of 10 in the Y axis.)

Another way to obtain life information is to use the Life vs. Stress plot to plot the life line that corresponds to the 10% unreliability. The following plot shows the life line for the 10% unreliability (the first line from the left). For a stress of 50 kips (X-axis) and for the 10% unreliability line, the cycles-to-failure can be obtained by reading the value on the Y-axis. Again, [math]\displaystyle{ T(0.1)\approxeq 12,000 }[/math] landings.


Median Life line (right) and 10% unreliability line (left) vs. stress.


However, a more accurate way to obtain the information is to use the Quick Calculation Pad (QCP) in ALTA. Using the QCP, the life for a 10% probability of failure at 50 kips is estimated to be 11,669.1 landings. This is very close to the requirement. In addition, this estimate was obtained at the 50% confidence level. In other words, 50% of the time life will be greater than 11,669.1 landings, and 50% of the time life will be less. Thus, we need to obtain an estimate of the lower confidence level before any decisions are made. The following figure shows the QCP calculation that includes a 90% lower 1-sided confidence bound on the estimate. The lower confidence bound is estimated to be 9,680.84 landings. Thus, the 10,000 landings criterion is not quite met.


Ipl example2 qcp.gif