Structural Reliability Analysis

ABSTRACT: The software developed under this Phase II project provides significant advantages over the current tool. Specifically, by utilizing PredictionProbe, Inc.’s (PPI’s) general-purpose, commercial-off-the-shelf (COTS) software suite (SPISE®, UNIPASS®, ModelProbe™, and DistributionProbe™) the proposed project will develop user-friendly, object-oriented, flexible, scalable, and customizable modules for performing condition-based aircraft post inspection reliability analysis (APIRA™ Modules) for any repair scenario and post-inspection condition. When fully developed, this software will: a) allow the user to define and construct any implicit or explicit models that can describe complex repairs, post-inspection conditions, various failure criteria, and complex input random variables including conditional and user-defined random variables; b) provide the user with the capability to define and store, in a library, many repair models to be used for various repair scenarios; c) enable the user to use more advanced probabilistic, statistical, and numerical integration methods, available in SPISE®, UNIPASS®, or any other third party tools to calculate the SFPOF, POF, CSD, etc.; and d) allow the user to perform Bayesian updating of the variables and analysis when inspection and maintenance data becomes available using the SPISE® Bayesian Module, and more. BENEFIT: As a technology-based advanced R&D study project in the area of Integration Software, Probabilistic, and Bayesian Technologies, the present program will take full advantage of the existing knowledge-based advances at PPI to improve the state-of-the-art and establish a new standard of practice through the development of efficient computational methods and tools for large-scale fleet management.