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Sign-Perturbed Sums Approach for Data Treatment of Dynamic Fracture Tests. / Volkova, Marina; Volkov, Grigory; Granichin, Oleg; Petrov, Yuri.

2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC). Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 1652-1656 (Proceedings od the IEEE Conference on Decision and Control).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

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, Proceedings od the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers Inc., pp. 1652-1656, IEEE 56th Annual Conference on Decision and Control (CDC), Melbourne, Australia, 12/12/17. https://doi.org/10.1109/CDC.2017.8263887

APA

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

Vancouver

Volkova M, Volkov G, Granichin O, Petrov Y. 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. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1652-1656. (Proceedings od the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2017.8263887

Author

Volkova, Marina ; Volkov, Grigory ; Granichin, Oleg ; Petrov, Yuri. / Sign-Perturbed Sums Approach for Data Treatment of Dynamic Fracture Tests. 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC). Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1652-1656 (Proceedings od the IEEE Conference on Decision and Control).

BibTeX

@inproceedings{5dd43abe4a694a7cb5f53584c063df47,
title = "Sign-Perturbed Sums Approach for Data Treatment of Dynamic Fracture Tests",
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.",
keywords = "STRENGTH, TEMPERATURES, DEPENDENCE, CAVITATION, TOUGHNESS, MODELS, STEEL",
author = "Marina Volkova and Grigory Volkov and Oleg Granichin and Yuri Petrov",
year = "2017",
doi = "10.1109/CDC.2017.8263887",
language = "Английский",
volume = "2018-January",
series = "Proceedings od the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1652--1656",
booktitle = "2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC)",
address = "Соединенные Штаты Америки",
note = "null ; Conference date: 12-12-2017 Through 15-12-2017",

}

RIS

TY - GEN

T1 - Sign-Perturbed Sums Approach for Data Treatment of Dynamic Fracture Tests

AU - Volkova, Marina

AU - Volkov, Grigory

AU - Granichin, Oleg

AU - Petrov, Yuri

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - STRENGTH

KW - TEMPERATURES

KW - DEPENDENCE

KW - CAVITATION

KW - TOUGHNESS

KW - MODELS

KW - STEEL

UR - http://www.scopus.com/inward/record.url?scp=85040708947&partnerID=8YFLogxK

U2 - 10.1109/CDC.2017.8263887

DO - 10.1109/CDC.2017.8263887

M3 - статья в сборнике материалов конференции

VL - 2018-January

T3 - Proceedings od the IEEE Conference on Decision and Control

SP - 1652

EP - 1656

BT - 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC)

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 12 December 2017 through 15 December 2017

ER -

ID: 32479257