dc.contributor.author | Šimonová, Hana | |
dc.contributor.author | Kucharczyková, Barbara | |
dc.contributor.author | Lipowczan, Martin | |
dc.contributor.author | Lehký, David | |
dc.contributor.author | Bilek Jr., Vlastimil | |
dc.contributor.author | Kocáb, Dalibor | |
dc.date.accessioned | 2020-08-25T09:20:14Z | |
dc.date.available | 2020-08-25T09:20:14Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Sborník vědeckých prací Vysoké školy báňské - Technické univerzity Ostrava. Řada stavební. 2019, roč. 19, č. 2, s. 59-64 : il. | cs |
dc.identifier.issn | 1213-1962 | |
dc.identifier.uri | http://hdl.handle.net/10084/141747 | |
dc.description.abstract | 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 the abovementioned
composites with nominal dimensions of 40 × 40
× 160 mm with the initial central edge notch were
subjected to the fracture tests in a 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. | cs |
dc.language.iso | en | cs |
dc.publisher | Vysoká škola báňská - Technická univerzita Ostrava | cs |
dc.relation.ispartofseries | Sborník vědeckých prací Vysoké školy báňské - Technické univerzity Ostrava. Řada stavební | cs |
dc.relation.uri | http://tces.vsb.cz/Home/ArticleDetail/488 | cs |
dc.rights | © Vysoká škola báňská - Technická univerzita Ostrava | cs |
dc.rights | Attribution-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nd/4.0/ | * |
dc.subject | fracture test | cs |
dc.subject | inverse analysis | cs |
dc.subject | artificial neural network | cs |
dc.subject | effective crack model | cs |
dc.subject | work-of-fracture method | cs |
dc.subject | slag | cs |
dc.subject | alkali activation | cs |
dc.title | Identification of Mechanical Fracture Parameters of Alkali-Activated Slag Based Composites During Specimens Ageing | cs |
dc.type | article | cs |
dc.identifier.doi | 10.35181/tces-2019-0021 | |
dc.rights.access | openAccess | cs |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |