|
|
| (2 intermediate revisions by one other user not shown) |
| Line 1: |
Line 1: |
| ===Stress-Strength Analysis in Design for Reliability===
| | #REDIRECT [[Stress-Strength_Analysis]] |
| | |
| As we know, the expected reliability is called from the following stress-strength calculation:
| |
| | |
| <center><math>R=P[Stress\le Strength]=\int_{0}^{\infty }{{{f}_{Stress}}(x)\cdot {{R}_{Strength}}(x)}dx</math></center>
| |
| | |
| The stress distribution is usually estimated from customer usage data, such as the mileage per year of a passenger car or the load distribution for a beam. The strength distribution, on the other hand, is affected by the material used in the component, the geometric dimensions and the manufacturing process.
| |
| | |
| Because the stress distribution can be estimated from customer usage data, we can assume that <math>{f}_{Stress} </math> is known. Therefore, for a given reliability goal, the strength distribution <math> {R}_{Strength}</math> is the only unknown in the given equation. The factors that affect the strength distribution can be adjusted to obtain a strength distribution that meets the reliability goal. The following example explains how to use Weibull++ to determine the parameters for a strength distribution that are required to meet a specified reliability goal.
| |
| | |
| '''Example 2:'''
| |
| {{Example: Stress-Strength Analysis for Determing Strength Distribution}}
| |