TY - JOUR
T1 - Probability distributions of mechanical properties of natural aggregates using a simple method
AU - Angulo, Sérgio C.
AU - Silva, Natalia V.
AU - Lange, David A.
AU - Tavares, Luís Marcelo
N1 - Funding Information:
Natalia V. Silva and Sérgio C. Angulo received the research grants of FAPESP , number 2016/02902-0, 2016/19974-3 , and 2016/20420-2. Natalia V. Silva also received the research scholarship grant from Fulbright (Doctoral Dissertation Research Award Program 2019-2020 ). Sérgio C. Angulo also received the research scholarship grant from CNPq process number 305564/2018-8 . Luís Marcelo Tavares received the research grant from CNPq process number 310293/2017-0 .
Funding Information:
The study was funded by a research project entitled ?Granulometric concepts and advanced processing applied to ecoefficient concrete? between the University of Sao Paulo (USP) and InterCement S.A, as well as by the National Institute of Science and Technology ?Advanced Eco-Efficient Cement-Based Technologies?, between USP, CNPq and FAPESP agency (process number 2014/50948-3). Natalia V. Silva and S?rgio C. Angulo received the research grants of FAPESP, number 2016/02902-0, 2016/19974-3, and 2016/20420-2. Natalia V. Silva also received the research scholarship grant from Fulbright (Doctoral Dissertation Research Award Program 2019-2020). S?rgio C. Angulo also received the research scholarship grant from CNPq process number 305564/2018-8. Lu?s Marcelo Tavares received the research grant from CNPq process number 310293/2017-0. The information and views set out in this study are those of the authors and do not necessarily reflect the opinion of FAPESP or CNPq. David A. Lange received support from the RECAST University Transportation Center established at Missouri University of Science and Technology.
Funding Information:
The study was funded by a research project entitled “Granulometric concepts and advanced processing applied to ecoefficient concrete” between the University of Sao Paulo (USP) and InterCement S.A, as well as by the National Institute of Science and Technology “Advanced Eco-Efficient Cement-Based Technologies”, between USP, CNPq and FAPESP agency (process number 2014/50948-3).
Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2020/2/10
Y1 - 2020/2/10
N2 - Characterizing the strength and the elastic modulus of single aggregate particles is relevant, in particular for use in high-strength concrete. One problem of methods normally used in this task is the time and effort demanded. The work proposes a rapid and simple test method to measure the probabilistic distributions of those properties for coarse aggregates contained in the range of particle sizes between 9.5 and 25-mm, approximately, applying it to granite and limestone. Water absorption (WA) of a hundred individual particles of each type of coarse aggregate was measured. Afterwards, the Point Load Test method is used to determine the tensile strength of all particles. A Linear Variable Differential Transducer (LVDT) coupled to the mechanical essay measured the displacements, under Hertz contact conditions, between artificially flat-made irregular particles and the testing machine fixture, allowing to determine the elastic moduli. Results were represented using the Weibull probabilistic distribution function. The one hundred individual particles, when stratified on the basis of non-destructive WA measurements, allowed capture the mechanical variability in the data. As such, mechanical tests could be performed only with approximately 20 specially selected particles of each aggregate type. Fundamental inverse exponential functions between the mechanical properties and WA confirmed the possibility of using this artifice. The tensile strengths ranged from 3 to 22 MPa for granite aggregates and from 3 to 16 MPa for limestone aggregates. Elastic moduli of the aggregates were also variable: 18–78 GPa for granite aggregates, and 18–66 GPa for limestone aggregates. Values within these ranges may influence the mechanical performance of high strength concretes.
AB - Characterizing the strength and the elastic modulus of single aggregate particles is relevant, in particular for use in high-strength concrete. One problem of methods normally used in this task is the time and effort demanded. The work proposes a rapid and simple test method to measure the probabilistic distributions of those properties for coarse aggregates contained in the range of particle sizes between 9.5 and 25-mm, approximately, applying it to granite and limestone. Water absorption (WA) of a hundred individual particles of each type of coarse aggregate was measured. Afterwards, the Point Load Test method is used to determine the tensile strength of all particles. A Linear Variable Differential Transducer (LVDT) coupled to the mechanical essay measured the displacements, under Hertz contact conditions, between artificially flat-made irregular particles and the testing machine fixture, allowing to determine the elastic moduli. Results were represented using the Weibull probabilistic distribution function. The one hundred individual particles, when stratified on the basis of non-destructive WA measurements, allowed capture the mechanical variability in the data. As such, mechanical tests could be performed only with approximately 20 specially selected particles of each aggregate type. Fundamental inverse exponential functions between the mechanical properties and WA confirmed the possibility of using this artifice. The tensile strengths ranged from 3 to 22 MPa for granite aggregates and from 3 to 16 MPa for limestone aggregates. Elastic moduli of the aggregates were also variable: 18–78 GPa for granite aggregates, and 18–66 GPa for limestone aggregates. Values within these ranges may influence the mechanical performance of high strength concretes.
KW - Aggregates
KW - Elastic modulus
KW - Tensile strength
KW - Water absorption
KW - Weibull distribution
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U2 - 10.1016/j.conbuildmat.2019.117269
DO - 10.1016/j.conbuildmat.2019.117269
M3 - Article
AN - SCOPUS:85073935475
SN - 0950-0618
VL - 233
JO - Construction and Building Materials
JF - Construction and Building Materials
M1 - 117269
ER -