EXPERIMENTAL CHECK OF THEORETICAL METHODS OF THE CALCULATION OF STRENGTH,

Abstract

The simple summation of information extracted as a result of the processing of experimental data for transducers of elongations (displacements) processed separately from each other makes it possible to establish the linearity (nonlinearity) of the tense deformed state of the system (the zone and elements not controlled by measurements are excluded), to reveal the places of intensive increase of elongations, and to establish the approach of fluidity for elements found in a uniaxial stressed state. But with a sufficiently large quantity of transducers rationally fixed, the group processing permits deriving more complete information considerably exceeding the sum of information of the isolated transducers. In this work the method applied earlier to the treatment of isolated transducers is widespread in groups selected accordingly. Such an allowance permitted constructing a uniform method in conducting a confidence evaluation of theoretical methods of calculation according to experimental investigation. The control is conducted not only for the theoretical calculation as a whole, but also for the separate elements. Hypotheses and separate parameters are estimated, and a forecast of the behavior of the system is constructed, etc. Group processing of an experiment permits considerably expanding the volume and quality of information on conducting a system under a load and the obtaining of confidence estimates for theoretical methods of calculation. (Author)

Document Details

Document Type
Technical Report
Publication Date
Nov 21, 1966
Accession Number
AD0643642

Entities

People

  • L. A. Kolesnikov

Organizations

  • National Air and Space Intelligence Center

Tags

DTIC Thesaurus Topics

  • Displacement
  • Elongation
  • Experimental Data
  • Hypotheses
  • Linearity
  • Measurement
  • Transducers

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Mechanical Engineering/Mechanics of Materials.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms