Research output: Contribution to journal › Article › peer-review
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 language | English |
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Pages (from-to) | 34-41 |
Number of pages | 8 |
Journal | Advances in Systems Science and Applications |
Volume | 17 |
Issue number | 3 |
State | Published - 27 Dec 2017 |
ID: 32480019