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    Probabilistic Seismic Loading Considerations for the Assessment of Liquefaction-Induced Volumetric Settlements in the Free Field

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2021:;Volume ( 147 ):;issue: 003::page 04020175
    Author:
    Kevin W. Franke
    ,
    Brian D. Peterson
    ,
    Braden M. Error
    ,
    Jingwen He
    ,
    Jasmyn N. Harper
    DOI: 10.1061/(ASCE)GT.1943-5606.0002469
    Publisher: ASCE
    Abstract: Engineers have long integrated predicted volumetric strains in liquefied soils to predict free-field, postliquefaction settlements. These free-field settlements have commonly been used to define a lower bound estimate of settlements beneath structures or embankments. Semiempirical methods for predicting volumetric strains during liquefaction require characterization of the seismic loading impacting the soil. The way in which probabilistic estimates of seismic loading is characterized can significantly impact the predicted postliquefaction settlements. This study evaluates three potential approaches for characterizing probabilistic seismic loading and their impact on the computed free-field, postliquefaction volumetric settlement hazard. The pseudo-probabilistic approach, which is arguably the most common approach in engineering practice in the US, shows considerable bias in its predicted volumetric settlements, including an average underprediction of settlement equal to 38% when compared to a fully probabilistic approach at a return period of 2,475 years. A simple linear relationship to correct pseudo-probabilistic estimates of free-field, postliquefaction volumetric settlements at return periods of 475 and 2,475 years for two common semiempirical volumetric strain models is presented.
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      Probabilistic Seismic Loading Considerations for the Assessment of Liquefaction-Induced Volumetric Settlements in the Free Field

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4269301
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    contributor authorKevin W. Franke
    contributor authorBrian D. Peterson
    contributor authorBraden M. Error
    contributor authorJingwen He
    contributor authorJasmyn N. Harper
    date accessioned2022-01-30T22:37:49Z
    date available2022-01-30T22:37:49Z
    date issued3/1/2021
    identifier other(ASCE)GT.1943-5606.0002469.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4269301
    description abstractEngineers have long integrated predicted volumetric strains in liquefied soils to predict free-field, postliquefaction settlements. These free-field settlements have commonly been used to define a lower bound estimate of settlements beneath structures or embankments. Semiempirical methods for predicting volumetric strains during liquefaction require characterization of the seismic loading impacting the soil. The way in which probabilistic estimates of seismic loading is characterized can significantly impact the predicted postliquefaction settlements. This study evaluates three potential approaches for characterizing probabilistic seismic loading and their impact on the computed free-field, postliquefaction volumetric settlement hazard. The pseudo-probabilistic approach, which is arguably the most common approach in engineering practice in the US, shows considerable bias in its predicted volumetric settlements, including an average underprediction of settlement equal to 38% when compared to a fully probabilistic approach at a return period of 2,475 years. A simple linear relationship to correct pseudo-probabilistic estimates of free-field, postliquefaction volumetric settlements at return periods of 475 and 2,475 years for two common semiempirical volumetric strain models is presented.
    publisherASCE
    titleProbabilistic Seismic Loading Considerations for the Assessment of Liquefaction-Induced Volumetric Settlements in the Free Field
    typeJournal Paper
    journal volume147
    journal issue3
    journal titleJournal of Geotechnical and Geoenvironmental Engineering
    identifier doi10.1061/(ASCE)GT.1943-5606.0002469
    journal fristpage04020175
    journal lastpage04020175-11
    page11
    treeJournal of Geotechnical and Geoenvironmental Engineering:;2021:;Volume ( 147 ):;issue: 003
    contenttypeFulltext
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