PROBABILISTIC ONE-DIMENSIONAL CONSOLIDATION

The probabilistic analysis of one-dimensional consolidation requires as input the multivariate probability density function relating hydraulic conductivity, compressibility, and porosity. A Monte Carlo approach can be used to obtain solutions to hypothetical consolidation problems in which the soil properties are generated stochastically. Results show that the standard deviations associated with the input soil properties in heterogeneous soils can lead to large uncertainties in predicted hydraulic head values and consolidation rates. Uncertainties are increased by increasing soil heterogeneity and decreased by the presence of spatial trends. It appears that there is no simple way to define an equivalent homogeneous soil with single-valued average soil properties in heterogeneous soil systems. The practice, when utilized with the classical analytical solutions, may yield results significantly different from the most probable results for the actual Stochastically-heterogeneous system. /Author/

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/3519342
• Corporate Authors:

  American Society of Civil Engineers

  345 East 47th Street
  New York, NY  United States  10017-2398
• Authors:
  • Freeze, R A
• Publication Date: 1977-7

Media Info

• Features: Appendices; Figures; References;
• Pagination: p. 00 725-742
• Serial:
  • Journal of Geotechnical and Geoenvironmental Engineering
  • Volume: 103
  • Issue Number: GT7
  • Publisher: American Society of Civil Engineers
  • ISSN: 1090-0241
  • Serial URL: http://ojps.aip.org/gto

Subject/Index Terms

• TRT Terms: Compressibility; Consolidations; Heterogeneity; Monte Carlo method; Porosity; Properties of materials; Samples; Soils; Statistical analysis; Stochastic processes
• Uncontrolled Terms: Conductivity
• Old TRIS Terms: Soil characteristics
• Subject Areas: Data and Information Technology; Geotechnology; Highways; Materials;

Filing Info

• Accession Number: 00165905
• Record Type: Publication
• Report/Paper Numbers: ASCE 13067
• Files: TRIS
• Created Date: Apr 12 1978 12:00AM