Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Randomized approach to determine dynamic strength of ice. / Granichin, Nikolai ; Volkov, Grigory ; Petrov, Yuri ; Volkova, Marina .
в: Cybernetics and Physics, Том 10, № 3, 11.2021, стр. 122-126.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Randomized approach to determine dynamic strength of ice
AU - Granichin, Nikolai
AU - Volkov, Grigory
AU - Petrov, Yuri
AU - Volkova, Marina
PY - 2021/11
Y1 - 2021/11
N2 - The randomized method of Sign-Perturbed Sums (SPS) is applied within the framework of the incubation time approach to evaluate the dynamic strength of ice. The experimental data of [Carney et al., 2006; Wu and Prakash, 2015; Saletti et al., 2019] is analysed in order to estimate strength parameters of ice and describe the observed strain-rate sensitivity curves. The independence of incubation time value on the ice temperature is established in contrast with the significant dependency of the critical stress parameter. The obtained confidence interval of the spalled ice is in good correspondence with the scatter observed experimentally.
AB - The randomized method of Sign-Perturbed Sums (SPS) is applied within the framework of the incubation time approach to evaluate the dynamic strength of ice. The experimental data of [Carney et al., 2006; Wu and Prakash, 2015; Saletti et al., 2019] is analysed in order to estimate strength parameters of ice and describe the observed strain-rate sensitivity curves. The independence of incubation time value on the ice temperature is established in contrast with the significant dependency of the critical stress parameter. The obtained confidence interval of the spalled ice is in good correspondence with the scatter observed experimentally.
U2 - 10.35470/2226-4116-2021-10-3-122-126
DO - 10.35470/2226-4116-2021-10-3-122-126
M3 - Article
VL - 10
SP - 122
EP - 126
JO - Cybernetics and Physics
JF - Cybernetics and Physics
SN - 2223-7038
IS - 3
ER -
ID: 91319786