Maximum entropy method for model and reliability updating using inspection data

Xuefei Guan, Ratneshwar Jha, Yongming Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this paper, a general method for probabilistic model and reliability updating using response measures is presented. The prior probability density functions for model parameters are derived according to the principle of Maximum Entropy (MaxEnt) when partial information is available. A posterior is formulated using the principle of Minimization of Discrimination Information (MDI) to perform probabilistic model and reliability updating when new inspection data are available. Simulation-based approaches are adopted to calculate the asymptotic solutions for the prior and posterior densities. A realistic fatigue crack growth example with experimental data is presented for illustration and validation of the proposed method.

Original languageEnglish (US)
Title of host publication51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
StatePublished - Dec 16 2010
Externally publishedYes
Event51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference - Orlando, FL, United States
Duration: Apr 12 2010Apr 15 2010

Publication series

NameCollection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
ISSN (Print)0273-4508

Other

Other51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
Country/TerritoryUnited States
CityOrlando, FL
Period4/12/104/15/10

ASJC Scopus subject areas

  • Architecture
  • Materials Science(all)
  • Aerospace Engineering
  • Mechanics of Materials
  • Mechanical Engineering

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