New Approach to Structural Reliability in Fatigue Failure

Abstract

The project objective is to develop formalism for assessing fatigue fracture of welded parts of ship structures based on a newly developed automatic Learning Expert System (L.E.S.), using extensive knowledge of material characteristics, experimental results, and results obtained through computational simulations. Any study of the welds on a ship structure must take into account the uncertainties and random characteristics of the loading, as well as the fatigue lifetime of the welds. Due to the stochastic nature of the loads, the available deterministic approaches are not sufficient to give a reliable evaluation of the structural safety. Although there has been some effort to fill this gap by probabilistic approaches, these are yet of limited usefulness because of the limited available databases. The research project will ultimately demonstrate the applicability and effectiveness of L.E.S to this class of engineering mechanics problems. As the first and fundamental step in this project, it is necessary to build a relevant database. Experimental and field date has secured from Navy research centers, and through collaboration with scientists working in this general area. Additional data has been obtained from literature searches.

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Document Details

Document Type
Technical Report
Publication Date
Aug 15, 2002
Accession Number
ADA405048

Entities

People

  • Joseph Zarka
  • Sia Nemat-nasser

Organizations

  • University of California, San Diego

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Advanced Materials
  • Applied Mechanics
  • Automatic
  • Composite Materials
  • Computer Science
  • Databases
  • Engineering
  • Expert Systems
  • Failure Mode And Effect Analysis
  • Materials
  • Materials Science
  • Mechanics
  • Numerical Analysis
  • Reliability
  • Simulations
  • Statistical Analysis
  • Three Dimensional

Readers

  • Computational Fluid Dynamics (CFD)
  • Structural Health Monitoring of Composite Structures.
  • Systems Analysis and Design