Dynamic Fracture Tests Data Treatment Based on the Randomized Approach

Authors

  • Marina Vladimirovna Volkova Saint Petersburg State University
  • Oleg N. Granichin Saint Petersburg State University; Institute of Problems of Mechanical Engineering Russian Academy of Sciences
  • Yuri V. Petrov Saint Petersburg State University; Institute of Problems of Mechanical Engineering Russian Academy of Sciences
  • Grigory A. Volkov Saint Petersburg State University; Institute of Problems of Mechanical Engineering Russian Academy of Sciences

DOI:

https://doi.org/10.25728/assa.2017.17.3.498

Keywords:

sign-perturbed sums, incubation time, randomized approach, data analysis

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.

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Published

2017-12-26

How to Cite

Volkova, M. V., Granichin, O. N., Petrov, Y. V., & Volkov, G. A. (2017). Dynamic Fracture Tests Data Treatment Based on the Randomized Approach. Advances in Systems Science and Applications, 17(3), 34–41. https://doi.org/10.25728/assa.2017.17.3.498

Issue

Vol. 17 No. 3 (2017): Special Issue on Traditional School "Control, Information and Optimization"

Section

Special issue "Selected papers of the 18th Congress of WOSC"