Technical Physics Letters
To authors
Volumes and Issues
- 2024
- 2023
- 2022
Strengthening of polycrystalline ice by silica nanoparticles
Golovin Yu. I.
1,2, Samodurov A. A.
1, Rodaev V. V.
1, Tyurin A. I.
1, Golovin D. Yu.
1, Razlivalova S. S.
1, Buznick V. V.
1,2
1Tambov State University, Tambov, Russia
2Lomonosov Moscow State University, Moscow, Russia
2Lomonosov Moscow State University, Moscow, Russia
Email: yugolovin@yandex.ru, samsasha@yandex.ru, rodaev1980@mail.ru, tyurin@tsu.tmb.ru, tarlin@yandex.ru, razlivalova8@yandex.ru, bouznik@ngs.ru
Ice as a construction material has a number of advantages in the Arctic. It is a local, renewable, ecologically safe resource, and it does not require supplying from the mainland. However, mechanical characteristics of natural ice are rather low. The potential of known techniques of ice strengthening employing reinforcement by microfibers or macroscopic components is limited. The paper describes strengthening of the ice matrix using nanodisperse silica particles. Six-fold reduction of grain size induced by adding 10% wt of SiO2 nanoparticles results in 2.5 times increase in strength limit in the uniaxial compression test and more than an order of magnitude increase in fracture energy. Keywords: polycrystalline ice, mechanical properties, grain structure. DOI: 10.61011/TPL.2023.06.56370.19542
- L.U. Arenson, W. Colgan, H.P. Marshall, in Snow and ice-related hazards, risks, and disasters (Elsevier Inc., 2015), p. 35--75. DOI: 10.1016/B978-0-12-394849-6.00002-0
- E.M. Schulson, P. Duval, Creep and fracture of ice (Cambridge University Press, Cambridge, 2009)
- A. Pronk, N. Vasiliev, J. Belis, in 3rd Int. Conf. on structures and architecture (ICSA 2016) (CRC Press Taylor \& Francis Group, London, 2016), p. 339--347
- N.R. Vasiliey, A.D.S. Pronk, I.N. Shatalina, F.H.V.T. Janssen, R.W.G. Houben, Cold Reg. Sci. Technol., 115, 56 (2015). DOI: 10.1016/j.coldregions.2015.03.006
- F.H.M.E. Janssen, R.W.G. Houben, Reinforced ice structures (Eindhoven University of Technology, Eindhoven, 2013)
- G.A. Nuzhnyi, V.M. Buznik, D.V. Grinevich, D.N. Landik, R.N. Cherepanin, Inorg. Mater.: Appl. Res., 11 (1), 103 (2020). DOI: 10.1134/S207511332001027X
- Y. Wu, X. Lou, X. Liu, A. Pronk, Mater. Struct., 53 (2), 29 (2020). DOI: 10.1617/s11527-020-01463-2
- X. Liu, Y. Wu, Cold Reg. Sci. Technol., 192 (2), 103381 (2021). DOI: 10.1016/j.coldregions.2021.103381
- X. Lou, Y. Wu, Cold Reg. Sci. Technol., 194, 103458 (2022). DOI: 10.1016/j.coldregions.2021.103458
- J. Xie, M.-L. Yan, J.-B. Yan, Cold Reg. Sci. Technol., 206, 103751 (2023). DOI: 10.1016/j.coldregions.2022.103751
- W.H. Press, S.A. Teukolsky, W.T. Vetterling, B.P. Flannery, Numerical recipes in C: the art of scientific computing, 2nd ed. (Cambridge University Press, Cambridge, 1992)
Подсчитывается количество просмотров абстрактов ("html" на диаграммах) и полных версий статей ("pdf"). Просмотры с одинаковых IP-адресов засчитываются, если происходят с интервалом не менее 2-х часов.
Дата начала обработки статистических данных - 27 января 2016 г.