A Most Probable Point-Based Method for Reliability Analysis, Sensitivity Analysis and Design Optimization

By: Administration (Nasa), National Aeronaut

A major step in a most probable point (MPP)-based method for reliability analysis is to determine the MPP. This is usually accomplished by using an optimization search algorithm. The minimum distance associated with the MPP provides a measurement of safety probability, which can be obtained by approximate probability integration methods such as FORM or SORM. The reliability sensitivity equations are derived first in this paper, based on the derivatives of the optimal solution. Examples are provided later to demonstrate the use of these derivatives for better reliability analysis and reliability-based design optimization (RBDO). Hou, Gene J.-W and Newman, Perry A. (Technical Monitor) Langley Research Center NASA/CR-2004-213002, L-18606 WBS-762-20-61-01 DESIGN OPTIMIZATION; PROBABILITY THEORY; RELIABILITY ANALYSIS; SENSITIVITY ANALYSIS; ALGORITHMS; RANDOM VARIABLES; STANDARD DEVIATION; ITERATION; CONVERGENCE

• Format: Paperback
• Language: English
• ISBN: B08FKTWS2R
• ISBN13: 9798672464695
• Release Date: January 1
• Publisher: Independently Published
• Length: 34 Pages
• Weight: 0.23 lbs.
• Dimensions: 0.1" x 8.5" x 11.0"