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

AN - SCOPUS:85040729614

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 -