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A “data-driven uncertainty” computational method to model and predict instabilities of a frictional system
Most of the recently developed methods for predicting instabilities of frictional systems couple stochastic algorithms with the finite element method (FEM). They use random variables to model the uncertainty of input parameters through standard probability laws. Regardless of the fact that advanced...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer International Publishing
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925556/ https://www.ncbi.nlm.nih.gov/pubmed/36815948 http://dx.doi.org/10.1186/s40323-023-00241-3 |