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    Variable-Angle Spatial Truss Model for Analytical Biaxial Shear Capacity Prediction of Reinforced Concrete Members with Transverse Reinforcement

    Source: Journal of Structural Engineering:;2025:;Volume ( 151 ):;issue: 001::page 04024201-1
    Author:
    Qingcong Zeng
    ,
    Giuseppe Quaranta
    ,
    Dario De Domenico
    ,
    Giorgio Monti
    DOI: 10.1061/JSENDH.STENG-13940
    Publisher: American Society of Civil Engineers
    Abstract: Reinforced concrete (RC) elements frequently undergo biaxial shear forces, for example, columns under seismic events and spandrel beams that support an inclined roof. Nonetheless, experimental testing of RC elements subject to biaxial shear deserved far less consideration, and even fewer attempts have been made to develop analytical models for the biaxial shear capacity prediction. This paper proposes a new resisting mechanism that extends the well-established variable-angle truss model in use for uniaxial shear to calculate the biaxial shear capacity of RC beams under monotonic loading and of RC columns under cyclic loading. The coefficients ruling the concrete contribution—for which new expressions were recently derived using a machine-learning algorithm in case of uniaxial shear—are straightforwardly adapted to the proposed biaxial shear resisting mechanism without supplemental recalibration. The accuracy of the proposed analytical formulation to predict the biaxial shear capacity of RC elements is assessed against new experimental results reported in the present study and those already available in the current literature. A comparative statistical assessment shows that the proposed analytical formulation is more accurate than alternative uniaxial shear capacity equations of technical codes applied to the biaxial case under the assumption of a quadratic interaction domain.
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      Variable-Angle Spatial Truss Model for Analytical Biaxial Shear Capacity Prediction of Reinforced Concrete Members with Transverse Reinforcement

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4306741
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    contributor authorQingcong Zeng
    contributor authorGiuseppe Quaranta
    contributor authorDario De Domenico
    contributor authorGiorgio Monti
    date accessioned2025-08-17T22:18:16Z
    date available2025-08-17T22:18:16Z
    date copyright1/1/2025 12:00:00 AM
    date issued2025
    identifier otherJSENDH.STENG-13940.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4306741
    description abstractReinforced concrete (RC) elements frequently undergo biaxial shear forces, for example, columns under seismic events and spandrel beams that support an inclined roof. Nonetheless, experimental testing of RC elements subject to biaxial shear deserved far less consideration, and even fewer attempts have been made to develop analytical models for the biaxial shear capacity prediction. This paper proposes a new resisting mechanism that extends the well-established variable-angle truss model in use for uniaxial shear to calculate the biaxial shear capacity of RC beams under monotonic loading and of RC columns under cyclic loading. The coefficients ruling the concrete contribution—for which new expressions were recently derived using a machine-learning algorithm in case of uniaxial shear—are straightforwardly adapted to the proposed biaxial shear resisting mechanism without supplemental recalibration. The accuracy of the proposed analytical formulation to predict the biaxial shear capacity of RC elements is assessed against new experimental results reported in the present study and those already available in the current literature. A comparative statistical assessment shows that the proposed analytical formulation is more accurate than alternative uniaxial shear capacity equations of technical codes applied to the biaxial case under the assumption of a quadratic interaction domain.
    publisherAmerican Society of Civil Engineers
    titleVariable-Angle Spatial Truss Model for Analytical Biaxial Shear Capacity Prediction of Reinforced Concrete Members with Transverse Reinforcement
    typeJournal Article
    journal volume151
    journal issue1
    journal titleJournal of Structural Engineering
    identifier doi10.1061/JSENDH.STENG-13940
    journal fristpage04024201-1
    journal lastpage04024201-13
    page13
    treeJournal of Structural Engineering:;2025:;Volume ( 151 ):;issue: 001
    contenttypeFulltext
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