Detail publikace
Evaluation of Three-Point Bending Fracture Tests of Selected Concrete: Mechanical Fracture and Acoustic Emission Parameters
ŠIMONOVÁ, H. TOPOLÁŘ, L. HAVLÍKOVÁ, I. MATYSÍK, M. DANĚK, P. LEHKÝ, D. KERŠNER, Z. PAZDERA, L.
Originální název
Evaluation of Three-Point Bending Fracture Tests of Selected Concrete: Mechanical Fracture and Acoustic Emission Parameters
Anglický název
Evaluation of Three-Point Bending Fracture Tests of Selected Concrete: Mechanical Fracture and Acoustic Emission Parameters
Jazyk
en
Originální abstrakt
Authors focus attention on mechanical fracture and acoustic emission (AE) parameters obtained from records of three-point bending fracture tests on concrete specimens with initial notch. Total nine sets of specimens were tested. Three specimens at the age of 28 days were tested in each set. Concrete of each set of specimens was different in dosage of Portland cement CEM I 42.5 R and amount of used superplasticizer which resulted in different water to cement ratio of particular mixtures. The Effective Crack Model (ECM) was used to evaluate the load vs deflection diagrams to obtain modulus of elasticity, effective fracture toughness and specific fracture energy. Modulus of elasticity, tensile strength and specific fracture energy were also subject of identification via inverse analysis based on artificial neural network, which aim is to transfer the input data obtained from the fracture test to the desired material parameters. Resistance to stable and unstable crack propagation was quantified via evaluation of load vs crack mouth opening displacement diagrams using Double-K fracture model supported by identified parameters. The similar results for fracture toughness obtained by two different methods, ECM and Double-K model, was observed. The AE technique was used to monitor damage process taking place in specimens.
Anglický abstrakt
Authors focus attention on mechanical fracture and acoustic emission (AE) parameters obtained from records of three-point bending fracture tests on concrete specimens with initial notch. Total nine sets of specimens were tested. Three specimens at the age of 28 days were tested in each set. Concrete of each set of specimens was different in dosage of Portland cement CEM I 42.5 R and amount of used superplasticizer which resulted in different water to cement ratio of particular mixtures. The Effective Crack Model (ECM) was used to evaluate the load vs deflection diagrams to obtain modulus of elasticity, effective fracture toughness and specific fracture energy. Modulus of elasticity, tensile strength and specific fracture energy were also subject of identification via inverse analysis based on artificial neural network, which aim is to transfer the input data obtained from the fracture test to the desired material parameters. Resistance to stable and unstable crack propagation was quantified via evaluation of load vs crack mouth opening displacement diagrams using Double-K fracture model supported by identified parameters. The similar results for fracture toughness obtained by two different methods, ECM and Double-K model, was observed. The AE technique was used to monitor damage process taking place in specimens.
Dokumenty
BibTex
@misc{BUT128650,
author="Hana {Šimonová} and Libor {Topolář} and Ivana {Havlíková} and Michal {Matysík} and Petr {Daněk} and David {Lehký} and Zbyněk {Keršner} and Luboš {Pazdera}",
title="Evaluation of Three-Point Bending Fracture Tests of Selected Concrete: Mechanical Fracture and Acoustic Emission Parameters",
annote="Authors focus attention on mechanical fracture and acoustic emission (AE) parameters obtained
from records of three-point bending fracture tests on concrete specimens with initial notch. Total nine sets of specimens were tested. Three specimens at the age of 28 days were tested in each set. Concrete of each set of specimens was different in dosage of Portland cement CEM I 42.5 R and amount of used superplasticizer which resulted in different water to cement ratio of particular mixtures. The Effective Crack Model (ECM) was used to evaluate the load vs deflection diagrams to obtain modulus of elasticity, effective fracture toughness and specific fracture energy. Modulus of elasticity, tensile strength and specific fracture energy were also subject of identification via inverse analysis based on artificial neural network, which aim is to transfer the input data obtained from the fracture test to the desired material parameters. Resistance to stable and unstable crack propagation was quantified via evaluation of load vs crack mouth opening displacement diagrams using Double-K fracture model supported by identified parameters. The similar results for fracture toughness obtained by two different methods, ECM and Double-K model, was observed. The AE technique was used to monitor damage process taking place in specimens.
",
address="Inštitut za kovinske materiale in technologie",
booktitle="Program and book of abstracts 24th Int. Conf. on Materials and Technology",
chapter="128650",
howpublished="electronic, physical medium",
institution="Inštitut za kovinske materiale in technologie",
year="2016",
month="september",
pages="111--111",
publisher="Inštitut za kovinske materiale in technologie",
type="abstract"
}