YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    • View Item
    •   YE&T Library
    • ASCE
    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Reliability-Based Performance of Embankments Improved with Deep Mixing Considering Spatial Variability of Material Properties

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2018:;Volume ( 004 ):;issue: 004
    Author:
    Wijerathna Manasi;Liyanapathirana D. S.
    DOI: 10.1061/AJRUA6.0000987
    Publisher: American Society of Civil Engineers
    Abstract: Geotechnical structures are generally designed using the deterministic approach, where uniform properties are used over the material space. This approach is not appropriate for deep cement mixed (DCM) ground due to the highly variable nature of material properties within the cement mixed soil. Although a large overdesign factor can reduce the risk of unsatisfactory performance, this method does not provide a systematic approach. Proper understanding of the variability-dependent performance of DCM ground is important to specify the design strength as well as to specify the quality controlling criteria. Therefore, in this paper, the reliability-based performance of an embankment stabilized using DCM wall panels underneath the side slopes was investigated. The spatial variability of elastic modulus and shear strength properties was considered. The strength variation was specified using the coefficient of variation (COV), mean strength, and the spatial correlation length. Material properties for different cases were randomly generated from a lognormal distribution with a specific mean strength and a COV using a computer program written in MATLAB. The ABAQUS finite element analysis was executed for each case within this MATLAB program and the reliability was determined using 1,5 Monte Carlo realizations. Results demonstrate that the spatial correlation length of strength properties has a great influence on the reliability-based performance of the embankment. The most critical probability of unsatisfactory performance was observed when the spatial correlation length is .18 times the width of DCM wall panels, at all mean strengths and COVs. The lateral deformation data obtained from Monte Carlo simulations showed increasing upper bound with increasing spatial correlation length and COV. The partial factor of safety (PFOS) has significantly contributed to the skewness of the deformation distribution without any change to the upper and lower bounds of the distribution.
    • Download: (1.635Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      Reliability-Based Performance of Embankments Improved with Deep Mixing Considering Spatial Variability of Material Properties

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4248228
    Collections
    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

    Show full item record

    contributor authorWijerathna Manasi;Liyanapathirana D. S.
    date accessioned2019-02-26T07:36:32Z
    date available2019-02-26T07:36:32Z
    date issued2018
    identifier otherAJRUA6.0000987.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4248228
    description abstractGeotechnical structures are generally designed using the deterministic approach, where uniform properties are used over the material space. This approach is not appropriate for deep cement mixed (DCM) ground due to the highly variable nature of material properties within the cement mixed soil. Although a large overdesign factor can reduce the risk of unsatisfactory performance, this method does not provide a systematic approach. Proper understanding of the variability-dependent performance of DCM ground is important to specify the design strength as well as to specify the quality controlling criteria. Therefore, in this paper, the reliability-based performance of an embankment stabilized using DCM wall panels underneath the side slopes was investigated. The spatial variability of elastic modulus and shear strength properties was considered. The strength variation was specified using the coefficient of variation (COV), mean strength, and the spatial correlation length. Material properties for different cases were randomly generated from a lognormal distribution with a specific mean strength and a COV using a computer program written in MATLAB. The ABAQUS finite element analysis was executed for each case within this MATLAB program and the reliability was determined using 1,5 Monte Carlo realizations. Results demonstrate that the spatial correlation length of strength properties has a great influence on the reliability-based performance of the embankment. The most critical probability of unsatisfactory performance was observed when the spatial correlation length is .18 times the width of DCM wall panels, at all mean strengths and COVs. The lateral deformation data obtained from Monte Carlo simulations showed increasing upper bound with increasing spatial correlation length and COV. The partial factor of safety (PFOS) has significantly contributed to the skewness of the deformation distribution without any change to the upper and lower bounds of the distribution.
    publisherAmerican Society of Civil Engineers
    titleReliability-Based Performance of Embankments Improved with Deep Mixing Considering Spatial Variability of Material Properties
    typeJournal Paper
    journal volume4
    journal issue4
    journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    identifier doi10.1061/AJRUA6.0000987
    page4018035
    treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2018:;Volume ( 004 ):;issue: 004
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian