Abstract

The Sign-Perturbed Sums (SPS) randomized algorithm is adapted to the procedure of data treatment of dynamic fracture tests. The original method is modified and applied for nonlinear regression function describing the strain rate dependence of material strength at the framework of structure-temporal approach. Ordinary there are few observation points of goal parameter with random noises with unknown statistical distribution, hence this stipulates the choice of SPS-algorithm for this problem. It is proved that SPS-procedure permits to define confidence intervals for dynamic strength parameter tau with proper accuracy in this case. The applicability of this method is demonstrated on example of experimental data treatment of dynamic fracture of a concrete.

Original languageEnglish
Title of host publication2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1652-1656
Number of pages5
Volume2018-January
ISBN (Electronic)9781509028733
DOIs
Publication statusPublished - 2017
Event56th IEEE Annual Conference on Decision and Control, CDC 2017 - Melbourne
Duration: 12 Dec 201715 Dec 2017

Publication series

NameProceedings od the IEEE Conference on Decision and Control
PublisherIEEE
ISSN (Print)0191-2216

Conference

Conference56th IEEE Annual Conference on Decision and Control, CDC 2017
CountryAustralia
CityMelbourne
Period12/12/1715/12/17

Scopus subject areas

  • Decision Sciences (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Control and Optimization

Cite this

Volkova, M., Volkov, G., Granichin, O., & Petrov, Y. (2017). Sign-Perturbed Sums Approach for Data Treatment of Dynamic Fracture Tests. In 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) (Vol. 2018-January, pp. 1652-1656). (Proceedings od the IEEE Conference on Decision and Control). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2017.8263887