Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Monika Stipsitz"'
Autor:
Silvester Sabathiel, Hèlios Sanchis-Alepuz, Andrew S. Wilson, Jacob Reynvaan, Monika Stipsitz
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Effective thermal management is crucial for the performance and longevity of devices such as computer chips and batteries. A fundamental challenge in this field is accurately determining temperature distributions, which are often limited by
Externí odkaz:
https://doaj.org/article/c65f0ddf4a82461287ad02579e9e71ba
Autor:
Monika Stipsitz, Hèlios Sanchis-Alepuz
Publikováno v:
Mathematical and Computational Applications, Vol 27, Iss 1, p 7 (2022)
Thermal simulations are an important part of the design process in many engineering disciplines. In simulation-based design approaches, a considerable amount of time is spent by repeated simulations. An alternative, fast simulation tool would be a we
Externí odkaz:
https://doaj.org/article/79ee66a912f04102a525ecdb5bac1e7e
Publikováno v:
2022 IEEE Design Methodologies Conference (DMC).
Autor:
Monika Stipsitz, Hèlios Sanchis-Alepuz
Publikováno v:
Mathematical and Computational Applications; Volume 27; Issue 1; Pages: 7
Thermal simulations are an important part of the design process in many engineering disciplines. In simulation-based design approaches, a considerable amount of time is spent by repeated simulations. An alternative, fast simulation tool would be a we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::682a106c4d3ac1d5e0fd163b8b5772a2
Publikováno v:
Biomechanics and Modeling in Mechanobiology. 19:861-874
An efficient solver for large-scale linear $$\mu \hbox {FE}$$μFE simulations was extended for nonlinear material behavior. The material model included damage-based tissue degradation and fracture. The new framework was applied to 20 trabecular biops
Publikováno v:
Stipsitz, Monika; Zysset, Philippe K.; Pahr, Dieter H. (2021). Prediction of the Inelastic Behaviour of Radius Segments: Damage-based Nonlinear Micro Finite Element Simulation vs Pistoia Criterion. Journal of biomechanics, 116, p. 110205. Elsevier 10.1016/j.jbiomech.2020.110205
The Pistoia criterion (PC) is widely used to estimate the failure load of distal radius segments based on linear micro Finite Element (μFE) analyses. The advantage of the PC is that a simple strain-threshold and a tissue volume fraction can be used
Publikováno v:
The Journal of Chemical Physics. 143:114905
We generalize the inverse patchy colloid model that was originally developed for heterogeneously charged particles with two identical polar patches and an oppositely charged equator to a model that can have a considerably richer surface pattern. Base