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

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

Paper in proceedings outside WoS and Scopus

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.

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.

mechanical fracture parameters, identification, geopolymer mortar

mechanical fracture parameters, identification, geopolymer mortar

ŠIMONOVÁ, H.; LIPOWCZAN, M.; LEHKÝ, D.; KUCHARCZYKOVÁ, B.; KERŠNER, Z.

2019

12.09.2018

Wilhelm Ernst & Sohn

Berlin

16th International Probabilistic Workshop

1437-1006

Beton- und Stahlbetonbau

113

S2

Federal Republic of Germany

1

5

5

https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fbest.201800059&file=best201800059-sup-0001-suppinfo.pdf