A Means of Predicting Swelling Pressures of Soils Found in the Rocky Mountain Area.

Abstract

Swelling soils are responsible for considerable damage to structures and significant monetary losses. The ability to predict and quantify this phenomenon has been the basis for much investigation over the last 50 years. To date, no one method has been found which will adequately accomplish this. In this report, the results of historical investigations are briefly summarized, as are the mechanisms which are involved in the swelling process. Based upon these historical results, two methods for examining empirical data are proposed. The first method correlates the swelling pressure to the natural dry density and the liquid limit of the soil. The second method parallels the first, except that the correlation is accomplished using an introduced parameter (plasticity index/percent of soil passing the no. 200 sieve) instead of the liquid limit. An empirical data base from the Rocky Mountain geographical area is examined using these two methods. The data base consists of both clay soils and sedimentary claystones. Predictive equations are deduced for each analysis method. The first method (using the liquid limit) produces better results, and comparisons of predicted versus measured values are presented for this method. A listing of the data used in the analyses is included in this report. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 19, 1980
Accession Number
ADA087020

Entities

People

  • Walter Ernest Heinz

Tags

Communities of Interest

  • Air Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Civil Engineering
  • Data Analysis
  • Databases
  • Differential Thermal Analysis
  • Electron Microscopes
  • Engineering
  • Engineers
  • Mechanics
  • Moisture Content
  • Phyllosilicates
  • Physical Properties
  • Plastic Explosives
  • Regression Analysis
  • Rocky Mountains
  • Soil Classification
  • Thermal Analysis
  • United States

Readers

  • Agricultural Chemistry/Soil Science
  • Computational Modeling and Simulation
  • Systems Analysis and Design