Simple Statistical Methodology for Evaluating Rock Mechanics Exploration Data,

Abstract

A simplified approach is to provide a scientific basis for allocating testing and instrumentation and a systematic procedure for interpreting field observations. The aim is to provide a practical tool that can be used and understood. The methods proposed here require little familiarity with probability theory or statistics. They deal only with the averages, variances, and covariances of uncertain parameters, and lead to mathematically simple relations among sources of error or uncertainty, and estimates of engineering parameters. The purpose of a more scientific treatment of site characterization and data analysis is not that it might lead to probabilistic design and risk analysis, but only that it might improve traditional practice. This report is organized in four subsequent sections. The first places the present work within the larger frame of reference of site exploration and characterization. The second briefly summarizes the mathematical background upon which later developments rest. The third presents a procedure for identifying probable errors in estimates of rock mass properties or profiles. The fourth develops a simplified sampling theory by which testing programs might be designed. Finally, conclusions are drawn on how one should proceed from the foundation already developed.

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1983
Accession Number
ADP002389

Entities

People

  • G. B. Baecher

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Covariance
  • Data Analysis
  • Data Science
  • Engineering
  • Geotechnical Engineering
  • Information Science
  • Mechanics
  • Risk
  • Risk Analysis
  • Rock Mechanics
  • Sampling
  • Statistics

Readers

  • Systems Analysis and Design