Definition of stochastic models during soil compaction

✍ Scribed by Panagiotis A. Drakatos

• Publisher: John Wiley and Sons
• Year: 1976
• Tongue: English
• Weight: 503 KB
• Volume: 10
• Category: Article
• ISSN: 0029-5981
• DOI: 10.1002/nme.1620100604

✦ Synopsis

Abstract

Employing experiments, Correlation Analysis, the method of ‘least square estimation’, and a special computational program, the problem of similarity between the variables of the soil‐machine system during soil compaction is examined. The solution, based on the probability theory of ‘Analysis of Variance’, consists in developing the stochastic model which defines the variables and their interactions for different systems.

In this particular case of soil compaction by cylinders the theorem of Vaschy‐Buckingham or P^i^ terms is used to define the mononyms (terms) of similarity.

The stochastic model, operant in every case, consists of an ellipsoid characteristic of the particular cylinder and its variables, so that greatest soil compaction at a given depth is achievable with a probability of 95 per cent at a level of significance of α = 0.05.