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Statistical criteria for the limits of application of Hooke's law. / Orekhov, A.V.

In: ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. СЕРИЯ 10: ПРИКЛАДНАЯ МАТЕМАТИКА, ИНФОРМАТИКА, ПРОЦЕССЫ УПРАВЛЕНИЯ, Vol. 16, No. 4, 2020, p. 391-401.

Research output: Contribution to journalArticlepeer-review

Harvard

Orekhov, AV 2020, 'Statistical criteria for the limits of application of Hooke's law', ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. СЕРИЯ 10: ПРИКЛАДНАЯ МАТЕМАТИКА, ИНФОРМАТИКА, ПРОЦЕССЫ УПРАВЛЕНИЯ, vol. 16, no. 4, pp. 391-401. https://doi.org/10.21638/11701/spbu10.2020.404, https://doi.org/10.21638/11701/spbu10.2020.404, https://doi.org/10.21638/11701/SPBU10.2020.404

APA

Orekhov, A. V. (2020). Statistical criteria for the limits of application of Hooke's law. ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. СЕРИЯ 10: ПРИКЛАДНАЯ МАТЕМАТИКА, ИНФОРМАТИКА, ПРОЦЕССЫ УПРАВЛЕНИЯ, 16(4), 391-401. https://doi.org/10.21638/11701/spbu10.2020.404, https://doi.org/10.21638/11701/spbu10.2020.404, https://doi.org/10.21638/11701/SPBU10.2020.404

Vancouver

Orekhov AV. Statistical criteria for the limits of application of Hooke's law. ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. СЕРИЯ 10: ПРИКЛАДНАЯ МАТЕМАТИКА, ИНФОРМАТИКА, ПРОЦЕССЫ УПРАВЛЕНИЯ. 2020;16(4):391-401. https://doi.org/10.21638/11701/spbu10.2020.404, https://doi.org/10.21638/11701/spbu10.2020.404, https://doi.org/10.21638/11701/SPBU10.2020.404

Author

Orekhov, A.V. / Statistical criteria for the limits of application of Hooke's law. In: ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. СЕРИЯ 10: ПРИКЛАДНАЯ МАТЕМАТИКА, ИНФОРМАТИКА, ПРОЦЕССЫ УПРАВЛЕНИЯ. 2020 ; Vol. 16, No. 4. pp. 391-401.

BibTeX

@article{cee12edba69848d5ad306bb522f2aa72,
title = "Statistical criteria for the limits of application of Hooke's law",
abstract = "Modern methods for studying the stress-strain state of solids use graphical methods based on a stress-strain curve to determine the transition from elastic deformation to plastic deformation. However, this approach is not formal and it is intended only for when stress is a function of strain in the one-dimensional case. Cases, when strain is a function of the stress, are also of practical importance. The purpose of the study is to develop formal rules for determining the limits of applicability of Hooke{\textquoteright}s law. The proposed analytical methods for determining the transition from elastic deformation to plastic deformation are based on consistent statistical sequential. In this article, quadratic forms are derived for calculating the point at which the type of an increasing monotonous numerical sequence changes from linear to non-linear type. With the help of these quadratic forms, statistical criteria (approximation-estimation tests) are constructed to determine the limits of applicability for Hooke{\textquoteright}s law. These boundaries are defined as Markov moments. The novelty of the results shows that it is possible to determine the yield point without visualizing the experimental data. The numerical example of the application of a parabolic approximation- estimation test is provided. From the results of this experiment, it can be concluded that the analytical determination of the limits of applicability of Hooke{\textquoteright}s law coincides with a visual assessment. Approximation-estimation tests provide an opportunity to determine the limits of applicability of Hooke{\textquoteright}s law analytically.",
keywords = "ЗАКОН ГУКА, напряжение, деформация, АППРОКСИМАЦИОННО-ОЦЕНОЧНЫЙ КРИТЕРИЙ, МЕТОД НАИМЕНЬШИХ КВАДРАТОВ, МАРКОВСКИЙ МОМЕНТ, Hooke's law; stress; strain; approximation-estimation test; least squares method; Markov moments",
author = "A.V. Orekhov",
note = "Publisher Copyright: {\textcopyright} 2020 Saint Petersburg State University. All rights reserved. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2020",
doi = "10.21638/11701/spbu10.2020.404",
language = "English",
volume = "16",
pages = "391--401",
journal = " ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ",
issn = "1811-9905",
publisher = "Издательство Санкт-Петербургского университета",
number = "4",

}

RIS

TY - JOUR

T1 - Statistical criteria for the limits of application of Hooke's law

AU - Orekhov, A.V.

N1 - Publisher Copyright: © 2020 Saint Petersburg State University. All rights reserved. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2020

Y1 - 2020

N2 - Modern methods for studying the stress-strain state of solids use graphical methods based on a stress-strain curve to determine the transition from elastic deformation to plastic deformation. However, this approach is not formal and it is intended only for when stress is a function of strain in the one-dimensional case. Cases, when strain is a function of the stress, are also of practical importance. The purpose of the study is to develop formal rules for determining the limits of applicability of Hooke’s law. The proposed analytical methods for determining the transition from elastic deformation to plastic deformation are based on consistent statistical sequential. In this article, quadratic forms are derived for calculating the point at which the type of an increasing monotonous numerical sequence changes from linear to non-linear type. With the help of these quadratic forms, statistical criteria (approximation-estimation tests) are constructed to determine the limits of applicability for Hooke’s law. These boundaries are defined as Markov moments. The novelty of the results shows that it is possible to determine the yield point without visualizing the experimental data. The numerical example of the application of a parabolic approximation- estimation test is provided. From the results of this experiment, it can be concluded that the analytical determination of the limits of applicability of Hooke’s law coincides with a visual assessment. Approximation-estimation tests provide an opportunity to determine the limits of applicability of Hooke’s law analytically.

AB - Modern methods for studying the stress-strain state of solids use graphical methods based on a stress-strain curve to determine the transition from elastic deformation to plastic deformation. However, this approach is not formal and it is intended only for when stress is a function of strain in the one-dimensional case. Cases, when strain is a function of the stress, are also of practical importance. The purpose of the study is to develop formal rules for determining the limits of applicability of Hooke’s law. The proposed analytical methods for determining the transition from elastic deformation to plastic deformation are based on consistent statistical sequential. In this article, quadratic forms are derived for calculating the point at which the type of an increasing monotonous numerical sequence changes from linear to non-linear type. With the help of these quadratic forms, statistical criteria (approximation-estimation tests) are constructed to determine the limits of applicability for Hooke’s law. These boundaries are defined as Markov moments. The novelty of the results shows that it is possible to determine the yield point without visualizing the experimental data. The numerical example of the application of a parabolic approximation- estimation test is provided. From the results of this experiment, it can be concluded that the analytical determination of the limits of applicability of Hooke’s law coincides with a visual assessment. Approximation-estimation tests provide an opportunity to determine the limits of applicability of Hooke’s law analytically.

KW - ЗАКОН ГУКА

KW - напряжение

KW - деформация

KW - АППРОКСИМАЦИОННО-ОЦЕНОЧНЫЙ КРИТЕРИЙ

KW - МЕТОД НАИМЕНЬШИХ КВАДРАТОВ

KW - МАРКОВСКИЙ МОМЕНТ

KW - Hooke's law; stress; strain; approximation-estimation test; least squares method; Markov moments

UR - http://www.scopus.com/inward/record.url?scp=85101382711&partnerID=8YFLogxK

U2 - 10.21638/11701/spbu10.2020.404

DO - 10.21638/11701/spbu10.2020.404

M3 - Article

VL - 16

SP - 391

EP - 401

JO - ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ

JF - ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ

SN - 1811-9905

IS - 4

ER -

ID: 74204887