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    Numerical Study on Impulse Reduction Performance of Protective Barriers Made of Steel Posts

    Source: Journal of Structural Engineering:;2020:;Volume ( 146 ):;issue: 010
    Author:
    Weifang Xiao
    ,
    Matthias Andrae
    ,
    Norbert Gebbeken
    DOI: 10.1061/(ASCE)ST.1943-541X.0002782
    Publisher: ASCE
    Abstract: Protective barriers are frequently used to protect buildings and their inhabitants from blast and vehicle impact. This paper presents numerical investigations of the impulse reduction performance of protective barriers made of steel posts. To explore the overpressure reduction behind the barriers, the authors presented numerical *LOAD_BLAST_ENHANCED–Arbitrary Lagrangian Eulerian (LBE-ALE) models in a previous study, which combine the advantages of both the empirical method (via the keyword LBE) and the ALE method. These models were modified in this study to provide an accurate prediction of the maximum impulses, which were further used to evaluate the impulse reduction performance of the barriers. They were validated against the impulse data measured in the experiments. It is demonstrated that Barrier Configuration M1 containing eight posts achieves the best performance in reducing the maximum impulse among all the tested barrier configurations. The net impulse reduction is as high as 22.9%, compared to the reference configuration Mref without posts. Additionally, some important observations were made from parametric studies, in which the validated numerical LBE-ALE models were utilized to analyze the influence of diverse parameters on the impulse reduction performance of the barriers, i.e., the number and cross section of posts in the single-layer arrangements as well as the number of layers in the multilayer arrangements.
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      Numerical Study on Impulse Reduction Performance of Protective Barriers Made of Steel Posts

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4267681
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    contributor authorWeifang Xiao
    contributor authorMatthias Andrae
    contributor authorNorbert Gebbeken
    date accessioned2022-01-30T21:07:11Z
    date available2022-01-30T21:07:11Z
    date issued10/1/2020 12:00:00 AM
    identifier other%28ASCE%29ST.1943-541X.0002782.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4267681
    description abstractProtective barriers are frequently used to protect buildings and their inhabitants from blast and vehicle impact. This paper presents numerical investigations of the impulse reduction performance of protective barriers made of steel posts. To explore the overpressure reduction behind the barriers, the authors presented numerical *LOAD_BLAST_ENHANCED–Arbitrary Lagrangian Eulerian (LBE-ALE) models in a previous study, which combine the advantages of both the empirical method (via the keyword LBE) and the ALE method. These models were modified in this study to provide an accurate prediction of the maximum impulses, which were further used to evaluate the impulse reduction performance of the barriers. They were validated against the impulse data measured in the experiments. It is demonstrated that Barrier Configuration M1 containing eight posts achieves the best performance in reducing the maximum impulse among all the tested barrier configurations. The net impulse reduction is as high as 22.9%, compared to the reference configuration Mref without posts. Additionally, some important observations were made from parametric studies, in which the validated numerical LBE-ALE models were utilized to analyze the influence of diverse parameters on the impulse reduction performance of the barriers, i.e., the number and cross section of posts in the single-layer arrangements as well as the number of layers in the multilayer arrangements.
    publisherASCE
    titleNumerical Study on Impulse Reduction Performance of Protective Barriers Made of Steel Posts
    typeJournal Paper
    journal volume146
    journal issue10
    journal titleJournal of Structural Engineering
    identifier doi10.1061/(ASCE)ST.1943-541X.0002782
    page13
    treeJournal of Structural Engineering:;2020:;Volume ( 146 ):;issue: 010
    contenttypeFulltext
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