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Integration of Probabilistic Methods into the Design Process
- Aerospace Standard
- AIR5080
- Reaffirmed
Downloadable datasets available
Annotation ability available
Sector:
Issuing Committee:
Language:
English
Scope
This document discusses a recommended new approach to integrate probabilistic methodologies with design practices, procedures, and software codes currently being used. In addition to complementing design methods currently in use, this new procedure will permit the designer to quantify the amount of conservatism that exists for a particular design due to the large amount of additional information which is provided to the designer. This additional information will allow the designer to make better decisions when faced with tradeoffs between cost, reliability, performance, and weight. Although the methodologies described herein can be used heavily in the design process, their applicability is much more encompassing. They can be used from product concept to customer delivery.
Rationale
AIR5080 has been reaffirmed to comply with the SAE five-year review policy.
Recommended Content
| Aerospace Standard | Applications of Probabilistic Methods |
| Aerospace Standard | Perceptions and Limitations Inhibiting the Application of Probabilistic Methods |
Topic
Data Sets - Support Documents
| Title | Description | Download |
|---|---|---|
| Unnamed Dataset 1 | ||
| Unnamed Dataset 2 | ||
| Unnamed Dataset 3 | ||
| Unnamed Dataset 4 | ||
| TABLE 1 | The Life Drivers and Their Levels | |
| TABLE 2 | The Distributions Used in the Example Problem | |
| TABLE 3A | Fractional Factorial Design with Center Point | |
| Unnamed Dataset 8 | TABLE 3B - Six Additional Runs Based D-Optimal Design | |
| TABLE 4 | Random Variable Definitions | |
| TABLE 5 | Sensitivities of Individual Failures and System Failure |
Issuing Committee
G-11 Probabilistic Methods and Uncertainty Quantification
The G-11PM/UQ Committee is a part of SAE's G-11 Division. The Committee has the charter to facilitate industry consensus on Probabilistic Methods and Uncertainty Quantification approaches in order to enhance the competitiveness of industry by enabling more intelligent, affordable, and reliable product development and deployment life-cycles.
Reference
| Number | Title |
|---|---|
| AFGS-87221A | This document is not part of the subscrption. |
| ARD50009 | This document is not part of the subscrption. |
| MIL-STD-1783 | This document is not part of the subscrption. |
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