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    MASW-Based Shear Wave Velocities for Predicting Liquefaction-Induced Sand Boils Caused by the 2017 M5.4 Pohang, South Korea Earthquake

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2022:;Volume ( 148 ):;issue: 004::page 04022004
    Author:
    Yumin Ji
    ,
    Hwanwoo Seo
    ,
    Sinhang Kang
    ,
    Han-Saem Kim
    ,
    Jongkwan Kim
    ,
    Byungmin Kim
    DOI: 10.1061/(ASCE)GT.1943-5606.0002738
    Publisher: ASCE
    Abstract: An earthquake of moment magnitude 5.4 occurred in Pohang, South Korea on November 15, 2017. This earthquake of moderate magnitude induced failures of structures and buildings and led to ground displacements. Approximately 600 sand boils were observed in the vicinity of the epicenter. We conduct 26 multichannel analysis of surface waves (MASW) tests and obtain three shear wave velocity (VS) profiles from suspension Compression (P) and Shear (S) wave logging at liquefied and nonliquefied sites near the epicenter. The phase velocities at frequencies lower than 10 Hz at the liquefied sites were smaller than those at the nonliquefied sites. The cyclic stress ratios (CSRs), cyclic resistance ratios (CRRs), and factors of safety were calculated. The CRR curves for these approaches predicted sand boils in Pohang with an accuracy of 79.5%. The liquefaction potential index (LPI) was calculated at 29 sites and is geospatially interpolated to create maps near the epicenter. The LPI maps had a maximum accuracy of 77% when LPI thresholds were 8 and 2 for two approaches from the literature. The high accuracies from both local and regional liquefaction evaluations demonstrate the applicability of the existing approaches for moderate earthquakes in South Korea.
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      MASW-Based Shear Wave Velocities for Predicting Liquefaction-Induced Sand Boils Caused by the 2017 M5.4 Pohang, South Korea Earthquake

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4283577
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    • Journal of Geotechnical and Geoenvironmental Engineering

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    contributor authorYumin Ji
    contributor authorHwanwoo Seo
    contributor authorSinhang Kang
    contributor authorHan-Saem Kim
    contributor authorJongkwan Kim
    contributor authorByungmin Kim
    date accessioned2022-05-07T21:19:09Z
    date available2022-05-07T21:19:09Z
    date issued2022-01-31
    identifier other(ASCE)GT.1943-5606.0002738.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4283577
    description abstractAn earthquake of moment magnitude 5.4 occurred in Pohang, South Korea on November 15, 2017. This earthquake of moderate magnitude induced failures of structures and buildings and led to ground displacements. Approximately 600 sand boils were observed in the vicinity of the epicenter. We conduct 26 multichannel analysis of surface waves (MASW) tests and obtain three shear wave velocity (VS) profiles from suspension Compression (P) and Shear (S) wave logging at liquefied and nonliquefied sites near the epicenter. The phase velocities at frequencies lower than 10 Hz at the liquefied sites were smaller than those at the nonliquefied sites. The cyclic stress ratios (CSRs), cyclic resistance ratios (CRRs), and factors of safety were calculated. The CRR curves for these approaches predicted sand boils in Pohang with an accuracy of 79.5%. The liquefaction potential index (LPI) was calculated at 29 sites and is geospatially interpolated to create maps near the epicenter. The LPI maps had a maximum accuracy of 77% when LPI thresholds were 8 and 2 for two approaches from the literature. The high accuracies from both local and regional liquefaction evaluations demonstrate the applicability of the existing approaches for moderate earthquakes in South Korea.
    publisherASCE
    titleMASW-Based Shear Wave Velocities for Predicting Liquefaction-Induced Sand Boils Caused by the 2017 M5.4 Pohang, South Korea Earthquake
    typeJournal Paper
    journal volume148
    journal issue4
    journal titleJournal of Geotechnical and Geoenvironmental Engineering
    identifier doi10.1061/(ASCE)GT.1943-5606.0002738
    journal fristpage04022004
    journal lastpage04022004-16
    page16
    treeJournal of Geotechnical and Geoenvironmental Engineering:;2022:;Volume ( 148 ):;issue: 004
    contenttypeFulltext
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