Article
 

Multilinear Regression Equations for Predicting Lateral Spread Displacement from Soil Type and CPT Data

Public Deposited

Downloadable Content

Download PDF
https://ir.library.oregonstate.edu/concern/articles/z603r010t

Descriptions

Attribute NameValues
Creator
Abstract
  • In the 1990s, Bartlett and Youd introduced empirical equations for predicting horizontal displacement from liquefaction-induced lateral spreading; these equations have become popular in engineering practice. The equations were developed by multilinear regression (MLR) of lateral spreading case history data compiled by these researchers. In 2002, these equations were revised and updated to include additional case history data. The regressions indicated that the amount of horizontal displacement is statistically related to the topography, earthquake magnitude, and distance from the seismic energy source; and, the thickness, fines content, and mean grain size of the saturated, granular sediments with corrected Standard Penetration Test blow count values less than 15. This paper proposes to modify the MLR empirical equations by replacing the fines content and mean grain size factors with soil description factors. Such modification allows investigators performing preliminary evaluations to make lateral spread displacement estimates using existing geotechnical data with sparse laboratory measurements. The paper also proposes a methodology to estimate the required geotechnical inputs in the proposed modified MLR equations using cone penetration test data.
  • Keywords: Soil liquefaction, Empirical equations, Earthquakes, Lateral displacement, Cone penetration tests, Penetration tests
Resource Type
DOI
Date Available
Date Issued
Citation
  • Gillins, D. T., & Bartlett, S. F. (2014). Multilinear Regression Equations for Predicting Lateral Spread Displacement from Soil Type and Cone Penetration Test Data. Journal of Geotechnical and Geoenvironmental Engineering, 140(4). doi:10.1061/(ASCE)GT.1943-5606.0001051
Journal Title
Journal Volume
  • 140
Journal Issue/Number
  • 4
Rights Statement
Publisher
Peer Reviewed
Language
Replaces

Relationships

Parents:

This work has no parents.

Items

Thumbnail Title Date Uploaded Visibility Actions
file details GillinsDanielCivilConstructionEngMultilinearRegressionEquations.pdf 2017-07-25 Public Download