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    Application of Glass Failure Prediction Model to Bent Glass Using Finite-Element Modeling

    Source: Journal of Architectural Engineering:;2021:;Volume ( 027 ):;issue: 002::page 04021001-1
    Author:
    James G. Soules
    ,
    Stephen M. Morse
    ,
    H. Scott Norville
    DOI: 10.1061/(ASCE)AE.1943-5568.0000454
    Publisher: ASCE
    Abstract: Designers of architectural glass in the United States rely on model building codes and standards for definitions of load resistance (LR) and other factors pertinent to design. Unfortunately, US model building codes and standards currently address only flat glass. These US model building codes and standards provide no generally accepted methodology to facilitate the determination of LT for bent glass. Because architects frequently use bent glass in buildings, a well-defined procedure for determining its LR is needed. The primary analysis tools available to engineers today are based on the finite-element method and can be applied to a wide range of different glass lite geometries. The authors developed a nonlinear finite-element model and applied the glass failure prediction model (GFPM) to the nonlinear finite-element model output to determine the probability of breakage for the specified bent glass lite geometry and the selected load combinations. The results of their analyses compare favorably to the stresses obtained from a strain gauged full-scale bent glass lite test specimen. The authors also compared the LR of the bent glass lite to the LR of a flat glass lite with the same rectangular dimensions of the bent glass lite to demonstrate the strength increase of bent glass constructions over flat glass constructions for the single geometry studied.
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      Application of Glass Failure Prediction Model to Bent Glass Using Finite-Element Modeling

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4271636
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    • Journal of Architectural Engineering

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    contributor authorJames G. Soules
    contributor authorStephen M. Morse
    contributor authorH. Scott Norville
    date accessioned2022-02-01T00:33:18Z
    date available2022-02-01T00:33:18Z
    date issued6/1/2021
    identifier other%28ASCE%29AE.1943-5568.0000454.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4271636
    description abstractDesigners of architectural glass in the United States rely on model building codes and standards for definitions of load resistance (LR) and other factors pertinent to design. Unfortunately, US model building codes and standards currently address only flat glass. These US model building codes and standards provide no generally accepted methodology to facilitate the determination of LT for bent glass. Because architects frequently use bent glass in buildings, a well-defined procedure for determining its LR is needed. The primary analysis tools available to engineers today are based on the finite-element method and can be applied to a wide range of different glass lite geometries. The authors developed a nonlinear finite-element model and applied the glass failure prediction model (GFPM) to the nonlinear finite-element model output to determine the probability of breakage for the specified bent glass lite geometry and the selected load combinations. The results of their analyses compare favorably to the stresses obtained from a strain gauged full-scale bent glass lite test specimen. The authors also compared the LR of the bent glass lite to the LR of a flat glass lite with the same rectangular dimensions of the bent glass lite to demonstrate the strength increase of bent glass constructions over flat glass constructions for the single geometry studied.
    publisherASCE
    titleApplication of Glass Failure Prediction Model to Bent Glass Using Finite-Element Modeling
    typeJournal Paper
    journal volume27
    journal issue2
    journal titleJournal of Architectural Engineering
    identifier doi10.1061/(ASCE)AE.1943-5568.0000454
    journal fristpage04021001-1
    journal lastpage04021001-8
    page8
    treeJournal of Architectural Engineering:;2021:;Volume ( 027 ):;issue: 002
    contenttypeFulltext
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