Identification of mechanical fracture parameters for estimation of statistical properties of geopolymer mortars

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F18%3APU129021" target="_blank" >RIV/00216305:26110/18:PU129021 - isvavai.cz</a>

Výsledek na webu

<a href="https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fbest.201800059&file=best201800059-sup-0001-suppinfo.pdf" target="_blank" >https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fbest.201800059&file=best201800059-sup-0001-suppinfo.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Identification of mechanical fracture parameters for estimation of statistical properties of geopolymer mortars

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Identification of mechanical fracture parameters for estimation of statistical properties of geopolymer mortars

Popis výsledku anglicky

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.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

20101 - Civil engineering

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)

Rok uplatnění

2018

Kód důvěrnosti údajů

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