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    Coefficient of Variation of Shear Strength of RC Beams and Size Effect

    Source: Journal of Engineering Mechanics:;2021:;Volume ( 147 ):;issue: 002::page 04020144-1
    Author:
    Wen Luo
    ,
    Jia-Liang Le
    ,
    Mohammad Rasoolinejad
    ,
    Zdeněk P. Bažant
    DOI: 10.1061/(ASCE)EM.1943-7889.0001879
    Publisher: ASCE
    Abstract: In shear failure, reinforced concrete (RC) beams always develop, in a stable manner, a finite length crack before the maximum load is reached. Thus, the crack tip location cannot sample a large volume of material with random strength because a small region in which the crack tip can lie is fixed by fracture mechanics. Consequently, the size effect on the mean strength cannot be statistical. It must be predominantly energetic or deterministic and, thus, must follow the Type-2 size effect law. What has not yet been clarified is the size effect on the coefficient of variation (CoV) of beam strength, which is important for anchoring the probability distribution of shear strength and choosing the safety factor. In this study, we run thousands of explicit finite element simulations using Abaqus-Explicit version 6.14 with microplane model M7, each with a random input of material strength and Young’s modulus for each finite element in the structure. The CoV of beam strength is found to decrease with the structure size when geometrically similar beams are compared, although the CoV tends to a constant for large sizes. This size effect on the CoV is similar to that in ductile failure governed by a Gaussian distribution of strength and contrasts with that in brittle failures following the Weibull distribution, for which the CoV is size independent. To characterize the size dependence of the strength CoV, an analytical formula is developed based on the statistics of the sample quantiles of a series of random variables.
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      Coefficient of Variation of Shear Strength of RC Beams and Size Effect

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    contributor authorWen Luo
    contributor authorJia-Liang Le
    contributor authorMohammad Rasoolinejad
    contributor authorZdeněk P. Bažant
    date accessioned2022-02-01T00:16:07Z
    date available2022-02-01T00:16:07Z
    date issued2/1/2021
    identifier other%28ASCE%29EM.1943-7889.0001879.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4271176
    description abstractIn shear failure, reinforced concrete (RC) beams always develop, in a stable manner, a finite length crack before the maximum load is reached. Thus, the crack tip location cannot sample a large volume of material with random strength because a small region in which the crack tip can lie is fixed by fracture mechanics. Consequently, the size effect on the mean strength cannot be statistical. It must be predominantly energetic or deterministic and, thus, must follow the Type-2 size effect law. What has not yet been clarified is the size effect on the coefficient of variation (CoV) of beam strength, which is important for anchoring the probability distribution of shear strength and choosing the safety factor. In this study, we run thousands of explicit finite element simulations using Abaqus-Explicit version 6.14 with microplane model M7, each with a random input of material strength and Young’s modulus for each finite element in the structure. The CoV of beam strength is found to decrease with the structure size when geometrically similar beams are compared, although the CoV tends to a constant for large sizes. This size effect on the CoV is similar to that in ductile failure governed by a Gaussian distribution of strength and contrasts with that in brittle failures following the Weibull distribution, for which the CoV is size independent. To characterize the size dependence of the strength CoV, an analytical formula is developed based on the statistics of the sample quantiles of a series of random variables.
    publisherASCE
    titleCoefficient of Variation of Shear Strength of RC Beams and Size Effect
    typeJournal Paper
    journal volume147
    journal issue2
    journal titleJournal of Engineering Mechanics
    identifier doi10.1061/(ASCE)EM.1943-7889.0001879
    journal fristpage04020144-1
    journal lastpage04020144-10
    page10
    treeJournal of Engineering Mechanics:;2021:;Volume ( 147 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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