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A Most Probable Point-Based Method for Reliability Analysis, Sensitivity Analysis and Design OptimizationA 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 optimal solutions associated with the MPP provide measurements related to safety probability. This study focuses on two commonly used approximate probability integration methods; i.e., the Reliability Index Approach (RIA) and the Performance Measurement Approach (PMA). Their reliability sensitivity equations are first derived in this paper, based on the derivatives of their respective optimal solutions. Examples are then provided to demonstrate the use of these derivatives for better reliability analysis and Reliability-Based Design Optimization (RBDO).
Document ID
20040086535
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Hou, Gene J.-W.
(Old Dominion Univ. Norfolk, VA, United States)
Gumbert, Clyde R.
(NASA Langley Research Center Hampton, VA, United States)
Newman, Perry A.
(NASA Langley Research Center Hampton, VA, United States)
Date Acquired
August 21, 2013
Publication Date
May 26, 2004
Subject Category
Statistics And Probability
Report/Patent Number
PMC2004
Meeting Information
Meeting: 9th ASCE EMD/SEI/GI/AD Joint Specialty Conference on Probabilistic Mechanics and Structural Reliability
Location: Albuquerque, NM
Country: United States
Start Date: July 26, 2004
End Date: July 28, 2004
Sponsors: Sandia National Labs., American Society of Civil Engineers
Funding Number(s)
OTHER: 762-20-61
Distribution Limits
Public
Copyright
Public Use Permitted.
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