Structural Redundancy for Continuous and Discrete Systems

Abstract

The design, inspection and structural redundancy interactions (DIRT) concept was first introduced at a Ship Structure Committee sponsored symposium in Williamsburg, Virginia, USA in 1983. In order to produce structures that are safer and more efficient in performance throughout their lifetime and in which a degree of damage tolerance can be planned, it is important that the full effects of redundancy are allowed for in the design validation process. The purpose of this study is to assess the role of redundancy in marine structures in the context of reserve and residual strength. The study has included a review of the basic terms and definitions of redundancy and reserve and residual strength in the context of both discrete and continuous structural topologies and has then examined criteria for defining overall stability in such topologies. A series of numerical studies on simple structural forms, representative of both discrete and continuous structures, has been undertaken and used to illustrate the major aspects and problems involved. The study concludes with recommendations for a range of future projects with the goals to examine and quantify more rigorously the role of redundancy on the reserve and residual strength characteristics of specific ranges of marine structures.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1991
Accession Number
ADA247671

Entities

People

  • J. F. Garside
  • P. K. Das

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Computational Science
  • Computer Programs
  • Construction
  • Databases
  • Engineers
  • Failure Mode And Effect Analysis
  • Geometric Forms
  • Geometry
  • Materials
  • Mechanical Working
  • Mechanics
  • Modulus Of Elasticity
  • Naval Architecture
  • Random Variables
  • Stress Strain Relations
  • Two Dimensional
  • Yield Strength

Readers

  • Operations Research
  • Structural Health Monitoring of Composite Structures.
  • Systems Analysis and Design