1 Citation (Scopus)

Abstract

Methods of measurement and prediction of materials dynamic strength are complicated and not standardized. Usually dynamic tests are labour-consuming and each assay demands a lot of time in contrast to static experiments. The way of experimental data treatment based on incubation time criterion and randomized approach of sign-perturbed sums is considered. It is shown that a few experimental points are enough to determine strength parameter with accuracy proper for engineering. The lack of real experimental data is compensated in SPS algorithm by carrying out a large number of virtual random tests in which the Bernulli signs are randomly generated in this method.

Original languageEnglish
Pages (from-to)34-41
Number of pages8
JournalAdvances in Systems Science and Applications
Volume17
Issue number3
Publication statusPublished - 27 Dec 2017

Scopus subject areas

  • Engineering(all)

Cite this

@article{64828c4e13dc42ceb575b571332d5455,
title = "Dynamic fracture tests data analysis based on the randomized approach",
abstract = "Methods of measurement and prediction of materials dynamic strength are complicated and not standardized. Usually dynamic tests are labour-consuming and each assay demands a lot of time in contrast to static experiments. The way of experimental data treatment based on incubation time criterion and randomized approach of sign-perturbed sums is considered. It is shown that a few experimental points are enough to determine strength parameter with accuracy proper for engineering. The lack of real experimental data is compensated in SPS algorithm by carrying out a large number of virtual random tests in which the Bernulli signs are randomly generated in this method.",
keywords = "Data analysis, Incubation time, Randomized approach, Sign-perturbed sums",
author = "Volkova, {Marina V.} and Granichin, {Oleg N.} and Petrov, {Yuri V.} and Volkov, {Grigory A.}",
year = "2017",
month = "12",
day = "27",
language = "English",
volume = "17",
pages = "34--41",
journal = "Advances in Systems Science and Applications",
issn = "1078-6236",
publisher = "International Institute for General Systems Studies",
number = "3",

}

TY - JOUR

T1 - Dynamic fracture tests data analysis based on the randomized approach

AU - Volkova, Marina V.

AU - Granichin, Oleg N.

AU - Petrov, Yuri V.

AU - Volkov, Grigory A.

PY - 2017/12/27

Y1 - 2017/12/27

N2 - Methods of measurement and prediction of materials dynamic strength are complicated and not standardized. Usually dynamic tests are labour-consuming and each assay demands a lot of time in contrast to static experiments. The way of experimental data treatment based on incubation time criterion and randomized approach of sign-perturbed sums is considered. It is shown that a few experimental points are enough to determine strength parameter with accuracy proper for engineering. The lack of real experimental data is compensated in SPS algorithm by carrying out a large number of virtual random tests in which the Bernulli signs are randomly generated in this method.

AB - Methods of measurement and prediction of materials dynamic strength are complicated and not standardized. Usually dynamic tests are labour-consuming and each assay demands a lot of time in contrast to static experiments. The way of experimental data treatment based on incubation time criterion and randomized approach of sign-perturbed sums is considered. It is shown that a few experimental points are enough to determine strength parameter with accuracy proper for engineering. The lack of real experimental data is compensated in SPS algorithm by carrying out a large number of virtual random tests in which the Bernulli signs are randomly generated in this method.

KW - Data analysis

KW - Incubation time

KW - Randomized approach

KW - Sign-perturbed sums

UR - http://www.scopus.com/inward/record.url?scp=85040729614&partnerID=8YFLogxK

M3 - Article

VL - 17

SP - 34

EP - 41

JO - Advances in Systems Science and Applications

JF - Advances in Systems Science and Applications

SN - 1078-6236

IS - 3

ER -