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تحقیقات سیمان و بتن 2011
جزئیات رویداد
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  • modelling of ageing effects on crack-bridging behaviour of ar-glass multifilament yarns embedded in cement-based matrix

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    • تاریخ ارائه: 1392/07/24
    • تاریخ انتشار در تی پی بین: 1392/07/24
    • تعداد بازدید: 849
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    • شماره تماس دبیرخانه رویداد: -
     this article focus on modelling of ageing effects on crack-bridging behaviour of ar-glass multifilament yarns embedded in cement-based matrix. in the first step, age-dependent changes in the crack-bridging behaviour of ar-glass multifilament yarns were investigated at the meso and micro levels. two cementitious matrices were considered where the binder contained portland cement clinker and ground granulated blast furnace slag cement, respectively. mechanical characteristics of the bond between matrix and multifilament yarns after accelerated ageing were measured by means of double-sided yarn pullout tests. in these tests the multifilament yarns bridged a single crack in the matrix arising in a notched area of the specimen. losses in performance with increasing age differed widely depending on matrix material composition. the essential cause of such losses was discovered to be the microscopic densification of the fibre-to-matrix interface. this led to increased bond intensity and restricted slip-ability of the filaments. subsequently, these micro-structural phenomena were related to the mesoscopic material behaviour by means of a phenomenological bond model. this cross-linkage model describes the crack-bridging effect of the entire multifilament yarn at the single filament level. according to the model, each filament possesses a specific deformation length depending on its position in the cross-section of the yarn. this deformation length depends on bond characteristics between single filament and cementitious matrix, which vary with age. characteristic values of the model were computed from load-crack width curves obtained from the yarn pullout tests. the changes in the microstructure were represented by the characteristic values of the model.

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