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ŠIMONOVÁ, H. LIPOWCZAN, M. LEHKÝ, D. KUCHARCZYKOVÁ, B. KERŠNER, Z.
Original Title
Identification of mechanical fracture parameters for estimation of statistical properties of geopolymer mortars
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
The aim of this paper is to identify statistics of mechanical fracture parameters based on evaluation of fracture tests records. The prism specimens made from fine-grained composite based on alkali activated fly ash matrix with nominal dimension 40 × 40 × 160 mm and initial central edge notch were subjected to fracture tests in three-point bending configuration. The dependence of load F on displacement d (deflection in the middle of the span length) was recorded during the fracture tests. The obtained F−d diagrams and specimen dimensions were used as input data for parameters identification via inverse analysis based on artificial neural network, which aim is to transfer the fracture test response data to the desired material parameters. In this paper, the modu-lus of elasticity, tensile strength and fracture energy values were identified and subsequently compared with values obtained based on fracture test evaluation using effective crack model and work-of-fracture method.
Keywords
mechanical fracture parameters, identification, geopolymer mortar
Authors
ŠIMONOVÁ, H.; LIPOWCZAN, M.; LEHKÝ, D.; KUCHARCZYKOVÁ, B.; KERŠNER, Z.
Released
12. 9. 2018
Publisher
Wilhelm Ernst & Sohn
Location
Berlin
ISBN
1437-1006
Periodical
Beton- und Stahlbetonbau
Year of study
113
Number
S2
State
Federal Republic of Germany
Pages from
1
Pages to
5
Pages count
URL
https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fbest.201800059&file=best201800059-sup-0001-suppinfo.pdf
BibTex
@inproceedings{BUT149934, author="Hana {Šimonová} and Martin {Lipowczan} and David {Lehký} and Barbara {Kucharczyková} and Zbyněk {Keršner}", title="Identification of mechanical fracture parameters for estimation of statistical properties of geopolymer mortars", booktitle="16th International Probabilistic Workshop", year="2018", journal="Beton- und Stahlbetonbau", volume="113", number="S2", pages="1--5", publisher="Wilhelm Ernst & Sohn", address="Berlin", issn="1437-1006", url="https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fbest.201800059&file=best201800059-sup-0001-suppinfo.pdf" }