PSI - Issue 28

ScienceDirect Structural Integrity Procedia 00 (2019) 000–000 Structural Integrity Procedia 00 (2019) 000–000 Available online at www.sciencedirect.com Available online at www.sciencedirect.com ScienceD rect Available online at www.sciencedirect.com ScienceDirect

www.elsevier.com/locate/procedia www.elsevier.com/locate/procedia

Procedia Structural Integrity 28 (2020) 1686–1693

© 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the European Structural Integrity Society (ESIS) ExCo Abstract The aim of the work was the search for criteria that characterize the statistical properties of materials and are related to their mechanical properties, fracture mechanisms, and loading conditions. The statistical distributions of microhardness of mild steel under tension measured at different distances from the fracture surface of the specimen were obtained, and the relationships between the slope parameter of cumulative distributions and non-destructive testing parameters were established. It was shown that the cumulative distributions of fatigue life, taken from the literature, can also be described by an exponential functions, and the slope exponent is related to the level of stress amplitude, also being sensitive parameter to change in fracture mechanism. © 2020 L.R. Botvina, I.O. Sinev, and A.V. Larionova. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the European Structural Integrity Society (ESIS) ExCo Keywords: Cumulative distributions; Microhardness; Fatigue failure, Probability, Fracture mechanism 1. Introduction The development of statistical approaches to assessing the mechanical properties and reliability of structural materials cannot but be associated with the establishment of the relationship between statistical characteristics and real physical mechanisms of material destruction. The importance of obtaining such a relationship was noted by A. Freudenthal (1968), believing that the scatter of experimental results is connected to the nature of the physical fracture process. Therefore, the statistical interpretation of testing results, which ignores the physical sense of phenomenon and is justified only by the flexibility of distributions, becomes meaningless. Thus, the study of the statistics of fracture processes transforms into the unlimited accumulation of data and their approximation by curves. 1st Virtual European Conference on Fracture Physical based parameter of statistical strength distributions L.R. Botvina a , I.O. Sinev a,b , and A.V.Larionova a,b * a A.A. Baikov Institute of Metallurgy and Materials Sciences, Russian Academy of Sciences, 49 Leninsky prospect, Moscow 199334, Russia b Bauman Moscow State Technical University,5 2-ya Baumanskaya Str., Moscow 105005, Russia Abstract The aim of the work was the search for criteria that characterize the statistical properties of materials and are related to their mechanical properties, fracture me anisms, and loading conditions. The statistical distributions of microhardness of mild st el under tension measured at different distance from the fracture surface of the specimen were obtai ed, and the relationships between the slope para eter of cumulative distributions and non-destr ctiv testing parameters were established. It was shown that the cumulative distributi ns of fatigu life, taken from the literatu e, can also be described by an exponential functions, and the slop exponent is related o the level of stress mplitude, also b ing s nsitive parameter to change in fracture mechan sm. © 2020 L.R. Botvina, I.O. Sinev, and A.V. Larionova. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND licens (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review u der re ponsibility of the European Structural Integri y So i ty (ESIS) ExCo Keywords: Cumulative distributions; Microhardness; Fatigue failure, Probability, Fracture mechanism 1. Introduction The development of statistical approaches to assessing the mechanical properties and reliability of structural materials cannot but be as oc ated with the establishm nt of the relationsh p between statistical ch racteristic and re physic mechanisms of material destruction. The imp rtance of btaining such a relations ip was noted by A. Freudenthal (1968), believing th t th scatter of experi ent l results is co nected to the nature of the physical fracture p ocess. Therefore, th stat stical interpretation of test ng results, which ig ores the p ysic l s nse of enomenon and is justified only by flexibility of distributions, becom meaningless. Thus, the study of the statistics of fracture processes tra sforms into the unlimited acc mulation f data and their approximation by curves. 1st Virtual European Conference on Fracture Physical based parameter of statistical strength distributions L.R. Botvina a , I.O. Sinev a,b , and A.V.Larionova a,b * a A.A. Baikov Institute of Metallurgy and Materials Sciences, Russian Academy of Sciences, 49 Leninsky prospect, Moscow 199334, Russia b Bauman Moscow State Technical University,5 2-ya Baumanskaya Str., Moscow 105005, Russia

* Corresponding author. Tel.: +7-499-135-96-83; fax: +7-499-135-86-80. E-mail address: botvina@imet.ac.ru * Corresponding author. Tel.: +7-499-135-96-83; fax: +7-499-135-86-80. E-mail address: botvina@imet.ac.ru

2452-3216 © 2020 L.R. Botvina, I.O. Sinev, and A.V. Larionova. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the European Structural Integrity Society (ESIS) ExCo 2452-3216 © 2020 L.R. Botvina, I.O. Sinev, and A.V. Larionova. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the European Structural Integrity Society (ESIS) ExCo

2452-3216 © 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the European Structural Integrity Society (ESIS) ExCo 10.1016/j.prostr.2020.10.143