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A probabilistic approach to evaluate dynamic and static strength of quasi-brittle materials through high-rate testing. / Volkov, Grigory; Smirnov, Ivan.

в: International Journal of Mechanical Sciences, Том 216, 106960, 15.02.2022.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

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@article{2f42bbd5593843179403a698e09feccd,
title = "A probabilistic approach to evaluate dynamic and static strength of quasi-brittle materials through high-rate testing",
abstract = "Results of mechanical tests, especially in dynamics, obtained under similar input conditions always have a statistical scatter. Currently, there is no generally accepted engineering approach to the correct assessment of critical stresses for a material under dynamic loads. For example, there is no clear understanding of how many specimens need to be tested to estimate a specific ultimate stress for a specific impact rate. The present study enhances the applicability of the randomized algorithm of Sign-Perturbed Sums to solve the mentioned problem of the dynamic strength evaluation under typical restrictions on experimental results such as few numbers of data points with unknown random noises. The combination of the incubation time criteria and this new probabilistic approach permits to estimate accurately material strength parameters: the critical failure stress and the incubation time with a given level of confidence. Comparative analysis of developing approach and different modifications of the scaling law obtained by Kimberly and Ramesh showed that both models are well agreed with empirically observed data. Experimental data of dynamic test on split Hopkinson pressure bars and a drop tower setup for different quasi-brittle materials are taken to demonstrate advantages of the new method. It is shown that incubation time of failure and critical stress values of certain materials can be estimated with a high level of confidence. These results can be used to optimize experimental studies and develop new standards for dynamic testing of materials.",
keywords = "Dynamic Strength, Experimental Data Processing, Incubation Time Approach, Sign-Perturbed Sums approach, Split Hopkinson Pressure Bar, STRAIN-RATE, UNIAXIAL COMPRESSIVE STRENGTH, BEHAVIOR, INCUBATION-TIME CRITERION, FRAGMENTATION, SIGN-PERTURBED SUMS, CONCRETE, DAMAGE MODEL, DEPENDENCE, FRACTURE",
author = "Grigory Volkov and Ivan Smirnov",
note = "Funding Information: The work was funded by Russian Foundation for Basic Research according to the research project № 20-31-70053. Publisher Copyright: {\textcopyright} 2021",
year = "2022",
month = feb,
day = "15",
doi = "10.1016/j.ijmecsci.2021.106960",
language = "Английский",
volume = "216",
journal = "International Journal of Mechanical Sciences",
issn = "0020-7403",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - A probabilistic approach to evaluate dynamic and static strength of quasi-brittle materials through high-rate testing

AU - Volkov, Grigory

AU - Smirnov, Ivan

N1 - Funding Information: The work was funded by Russian Foundation for Basic Research according to the research project № 20-31-70053. Publisher Copyright: © 2021

PY - 2022/2/15

Y1 - 2022/2/15

N2 - Results of mechanical tests, especially in dynamics, obtained under similar input conditions always have a statistical scatter. Currently, there is no generally accepted engineering approach to the correct assessment of critical stresses for a material under dynamic loads. For example, there is no clear understanding of how many specimens need to be tested to estimate a specific ultimate stress for a specific impact rate. The present study enhances the applicability of the randomized algorithm of Sign-Perturbed Sums to solve the mentioned problem of the dynamic strength evaluation under typical restrictions on experimental results such as few numbers of data points with unknown random noises. The combination of the incubation time criteria and this new probabilistic approach permits to estimate accurately material strength parameters: the critical failure stress and the incubation time with a given level of confidence. Comparative analysis of developing approach and different modifications of the scaling law obtained by Kimberly and Ramesh showed that both models are well agreed with empirically observed data. Experimental data of dynamic test on split Hopkinson pressure bars and a drop tower setup for different quasi-brittle materials are taken to demonstrate advantages of the new method. It is shown that incubation time of failure and critical stress values of certain materials can be estimated with a high level of confidence. These results can be used to optimize experimental studies and develop new standards for dynamic testing of materials.

AB - Results of mechanical tests, especially in dynamics, obtained under similar input conditions always have a statistical scatter. Currently, there is no generally accepted engineering approach to the correct assessment of critical stresses for a material under dynamic loads. For example, there is no clear understanding of how many specimens need to be tested to estimate a specific ultimate stress for a specific impact rate. The present study enhances the applicability of the randomized algorithm of Sign-Perturbed Sums to solve the mentioned problem of the dynamic strength evaluation under typical restrictions on experimental results such as few numbers of data points with unknown random noises. The combination of the incubation time criteria and this new probabilistic approach permits to estimate accurately material strength parameters: the critical failure stress and the incubation time with a given level of confidence. Comparative analysis of developing approach and different modifications of the scaling law obtained by Kimberly and Ramesh showed that both models are well agreed with empirically observed data. Experimental data of dynamic test on split Hopkinson pressure bars and a drop tower setup for different quasi-brittle materials are taken to demonstrate advantages of the new method. It is shown that incubation time of failure and critical stress values of certain materials can be estimated with a high level of confidence. These results can be used to optimize experimental studies and develop new standards for dynamic testing of materials.

KW - Dynamic Strength

KW - Experimental Data Processing

KW - Incubation Time Approach

KW - Sign-Perturbed Sums approach

KW - Split Hopkinson Pressure Bar

KW - STRAIN-RATE

KW - UNIAXIAL COMPRESSIVE STRENGTH

KW - BEHAVIOR

KW - INCUBATION-TIME CRITERION

KW - FRAGMENTATION

KW - SIGN-PERTURBED SUMS

KW - CONCRETE

KW - DAMAGE MODEL

KW - DEPENDENCE

KW - FRACTURE

UR - http://www.scopus.com/inward/record.url?scp=85120465691&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/e878e859-be34-3732-bea6-414113ea2f1b/

U2 - 10.1016/j.ijmecsci.2021.106960

DO - 10.1016/j.ijmecsci.2021.106960

M3 - статья

AN - SCOPUS:85120465691

VL - 216

JO - International Journal of Mechanical Sciences

JF - International Journal of Mechanical Sciences

SN - 0020-7403

M1 - 106960

ER -

ID: 91319652