Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zenan Huo"'
Publikováno v:
Mathematics, Vol 10, Iss 12, p 2024 (2022)
In this paper, a parallel Smoothed Finite Element Method (S-FEM) package epSFEM using incremental theory to solve elastoplastic problems is developed by employing the Julia language on a multicore CPU. The S-FEM, a new numerical method combining the
Externí odkaz:
https://doaj.org/article/a00266d2958647b2a24705efae3fcf52
Autor:
Zenan Huo, Yury Alkhimenkov, Flavio Calvo, Marc-Henri Derron, Michel Jaboyedoff, Yury Podladchikov, Emmanuel Wyser
The post-failure of landslide is a stage where large deformations are present. It is difficult to properly resolve such large deformations using traditional mesh-based numerical methods. Meshless methods, such as the material point method (MPM), can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9cc6fd4e1f3a32b2de8f4399e12db2f
https://doi.org/10.5194/egusphere-egu23-13391
https://doi.org/10.5194/egusphere-egu23-13391
Publikováno v:
Journal of Parallel and Distributed Computing. 138:211-221
Spectral clustering is widely used in data mining, machine learning and other fields. It can identify the arbitrary shape of a sample space and converge to the global optimal solution. Compared with the traditional k-means algorithm, the spectral clu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d44c99bada399119ed769a1ff8d03002
https://doi.org/10.1016/j.jpdc.2020.01.003
https://doi.org/10.1016/j.jpdc.2020.01.003
The study of landslides spans from pre-failure mechanisms to post-failure propagation. The risk posed by landslides often relies more on the latter, and quantitative analysis for it can also describe the hazard caused by landslides more intuitively.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9527ee34268819aa6eee443b55b8ae8
https://doi.org/10.5194/egusphere-egu22-10247
https://doi.org/10.5194/egusphere-egu22-10247
The Smoothed Finite Element Method (S-FEM) proposed by Liu G.R. can achieve more accurate results than the conventional FEM. Currently, much commercial software and many open-source packages have been developed to analyze various science and engineer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f08c52c08b239b0a4613441a07ed856
Machine learning is driving development across many fields in science and engineering. A simple and efficient programming language could accelerate applications of machine learning in various fields. Currently, the programming languages most commonly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4da01ded270d76be74ed1d587f8efbf