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Identification of Mechanical Fracture Parameters of Alkali-activated Slag Based Composites During Specimens Ageing

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F19%3APU134395" target="_blank" >RIV/00216305:26110/19:PU134395 - isvavai.cz</a>

  • Výsledek na webu

    <a href="http://tces.vsb.cz/Home/ArticleDetail/488" target="_blank" >http://tces.vsb.cz/Home/ArticleDetail/488</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.35181/tces-2019-0021" target="_blank" >10.35181/tces-2019-0021</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Identification of Mechanical Fracture Parameters of Alkali-activated Slag Based Composites During Specimens Ageing

  • Popis výsledku v původním jazyce

    The aim of the paper is to present the results of the experiment focused on the development of the mechanical fracture characteristics of alkali-activated slag (AAS) based composites within the time interval from 3 days to 2 years of ageing. Two AAS composites, which differed only in the presence of shrinkage reducing admixture (SRA), were prepared for the purpose of experiments. The composites were prepared using ground granulated blast furnace slag activated by water-glass with silicate modulus of 2.0, standardized quartzite sand with the particle grain size distribution of 0−2 mm, and water. Commercially produced SRA was added into the second mixture in an amount of 2 % by weight of slag. The test specimens were not protected from drying during the whole time interval and were stored in the laboratory at an ambient temperature of 21 ± 2 °C and relative humidity of 60 ± 10 %. The prism specimens made of above-mentioned composites with nominal dimensions of 40 × 40 × 160 mm with the initial central edge notch were subjected to the fracture tests in three-point bending configuration. The load F and displacement d (deflection in the middle of the span length) were continuously recorded during the fracture tests. The obtained F−d diagrams and specimen dimensions were used as input data for identification of parameters via the inverse analysis based on the artificial neural network, which aim is to transfer the fracture test response data to the desired material parameters. In this paper, the modulus of elasticity, tensile strength, and fracture energy values were identified and subsequently compared with values obtained based on the fracture test evaluation using the effective crack model and work-of-fracture method.

  • Název v anglickém jazyce

    Identification of Mechanical Fracture Parameters of Alkali-activated Slag Based Composites During Specimens Ageing

  • Popis výsledku anglicky

    The aim of the paper is to present the results of the experiment focused on the development of the mechanical fracture characteristics of alkali-activated slag (AAS) based composites within the time interval from 3 days to 2 years of ageing. Two AAS composites, which differed only in the presence of shrinkage reducing admixture (SRA), were prepared for the purpose of experiments. The composites were prepared using ground granulated blast furnace slag activated by water-glass with silicate modulus of 2.0, standardized quartzite sand with the particle grain size distribution of 0−2 mm, and water. Commercially produced SRA was added into the second mixture in an amount of 2 % by weight of slag. The test specimens were not protected from drying during the whole time interval and were stored in the laboratory at an ambient temperature of 21 ± 2 °C and relative humidity of 60 ± 10 %. The prism specimens made of above-mentioned composites with nominal dimensions of 40 × 40 × 160 mm with the initial central edge notch were subjected to the fracture tests in three-point bending configuration. The load F and displacement d (deflection in the middle of the span length) were continuously recorded during the fracture tests. The obtained F−d diagrams and specimen dimensions were used as input data for identification of parameters via the inverse analysis based on the artificial neural network, which aim is to transfer the fracture test response data to the desired material parameters. In this paper, the modulus of elasticity, tensile strength, and fracture energy values were identified and subsequently compared with values obtained based on the fracture test evaluation using the effective crack model and work-of-fracture method.

Klasifikace

  • Druh

    J<sub>ost</sub> - Ostatní články v recenzovaných periodicích

  • CEP obor

  • OECD FORD obor

    20101 - Civil engineering

Návaznosti výsledku

  • Projekt

    Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2019

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Sborník vědeckých prací Vysoké školy báňské – Technické univerzity Ostrava

  • ISSN

    1213-1962

  • e-ISSN

  • Svazek periodika

    19

  • Číslo periodika v rámci svazku

    2

  • Stát vydavatele periodika

    CZ - Česká republika

  • Počet stran výsledku

    6

  • Strana od-do

    59-64

  • Kód UT WoS článku

  • EID výsledku v databázi Scopus