Volume 32, Issue 4 (July 2009)

    Linear Regression Models for Predicting Liquefaction during Cyclic Triaxial Testing

    (Received 24 March 2008; accepted 18 February 2009)

    Published Online: 2009

    CODEN: GTJOAD

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    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.


    Author Information:

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


    Stock #: GTJ101752

    ISSN: 0149-6115

    DOI: 10.1520/GTJ101752

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