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Conditional Filtering for Simplification of Aircraft Structural System Reliability Calculation

Conditional Filtering for Simplification of Aircraft Structural System Reliability Calculation


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About the Book

Because of the complications caused by the thousands of possible failure locations, as well as multiple load cases, failure modes, and random variables, calculation of system reliability for large-scale aircraft structures is generally difficult. Oftentimes, analysts performing such analyses use engineering judgment and personal experience to remove many of the difficulties from the systems in question. In general, however, little research has been performed to develop a systematic method for filtering possible failure locations, load cases, or failure modes. In this thesis, the foundation of such a method - the Correlation-Conditional Probability (CCP) filtering method - is developed to complement engineering judgment by algorithmically filtering possible failure locations. The technique presented here provides a logical procedure for determining the possible failure locations that contribute to the overall system reliability, thereby significantly reducing the complexity of the system reliability analysis. This is performed using three primary steps: creating simple Taylor series approximations of each limit state, executing a Monte Carlo simulation using the Taylor series limit states, and using conditional probabilities of failure and correlation metrics to filter the limit states that provide nothing to the system reliability. The results from simple structural models and numerical examples are presented that show the capabilities and limitations of the steps that make up the method, and recommendations are made for the direction of future efforts.


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Product Details
  • ISBN-13: 9781243418463
  • Publisher: Proquest, Umi Dissertation Publishing
  • Publisher Imprint: Proquest, Umi Dissertation Publishing
  • Height: 254 mm
  • Weight: 281 gr
  • ISBN-10: 124341846X
  • Publisher Date: 01 Sep 2011
  • Binding: Paperback
  • Spine Width: 9 mm
  • Width: 203 mm


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