Linear Regression Models for Predicting Liquefaction during Cyclic Triaxial Testing

    Volume 32, Issue 4 (July 2009)

    ISSN: 0149-6115

    CODEN: GTJOAD

    Published Online: 27 May 2009

    Page Count: 12


    Polito, Carmine
    P.E.Associate Professor of Civil Engineering, Valparaiso University, Valparaiso, IN

    (Received 24 March 2008; accepted 18 February 2009)

    Abstract

    Cyclic triaxial tests are commonly used in research and engineering practice to evaluate soil liquefaction potential and the factors that influence it. During testing it is necessary to estimate the level of loading to be applied to the specimen. This can be a difficult task unless the engineer has previously acquired a reasonable amount of experience with this type of testing. In order to provide guidance in selecting an appropriate level of loading, a series of four linear regression models have been developed to predict liquefaction in sands and soils with nonplastic silts. The models were separated by the soil type and the method of specimen preparation. These models were developed using the data from over 750 tests collected from the author’s files and the literature. The validity of each model was assessed by examining the statistical parameters of the model, an analysis of residuals, and predictions made using additional data obtained from the literature.


    Paper ID: GTJ101752

    DOI: 10.1520/GTJ101752

    ASTM International is a member of CrossRef.

    Author
    Title Linear Regression Models for Predicting Liquefaction during Cyclic Triaxial Testing
    Symposium , 0000-00-00
    Committee D18