Development of a New Methodology for Rock Engineering Design

Abstract

The research conducted for this contract was aimed at developing a new methodology for rock engineering design using a systems approach termed 'Rock Engineering Systems' (RES). The basis of this 'top-down' approach is to first establish the engineering objective(s), and then construct a diagram, an interaction matrix, in which all the variables relevant to the problem are listed, together with their interactions. The matrix device enables all the interactions, or mechanisms, to be coherently and comprehensively identified. Mechanism pathways through the interaction matrix enable all potential concatenations of mechanisms and consequences to be listed. The work was successfully completed following the objectives and milestones in the contract. The flow charts for the design methodology were improved following further literature study and research in the first year. Also, the link between this interaction matrix approach and the maths associated with set theory, matrix theory and network theory was clarified in the first year. In the second year, the problem of computerizing the methodology was addressed. In the third year, the methodology was refined and successfully tested on a surface site (rock slopes in Spain) and an underground site (the AECL Underground Research Laboratory in Canada). Thus, the Rock Engineering Systems design methodology was successfully developed.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1994
Accession Number
ADA285996

Entities

People

  • John A. Hudson

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Civil Engineering
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Databases
  • Failure Mode And Effect Analysis
  • Groundwater
  • Information Systems
  • Materials Testing
  • Mechanics
  • Network Science
  • Rock Mechanics
  • Set Theory
  • Stress Strain Relations
  • Test Methods
  • Three Dimensional

Readers

  • Computational Modeling and Simulation
  • Systems Analysis and Design
  • Theoretical Analysis.