Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Aggarwal, Ankush"'
Data-based approaches are promising alternatives to the traditional analytical constitutive models for solid mechanics. Herein, we propose a Gaussian process (GP) based constitutive modeling framework, specifically focusing on planar, hyperelastic an
Externí odkaz:
http://arxiv.org/abs/2210.00868
A variety of constitutive models have been developed for soft tissue mechanics. However, there is no established criterion to select a suitable model for a specific application. Although the model that best fits the experimental data can be deemed th
Externí odkaz:
http://arxiv.org/abs/2209.13038
Autor:
Wakeni, Mebratu, Aggarwal, Ankush, Kaczmarczyk, Lukasz, McBride, Andrew, Athanasiadis, Ignatios, Pearce, Chris, Steinmann, Paul
A new class of implicit-explicit (IMEX) methods combined with a p-adaptive mixed finite element formulation is proposed to simulate the diffusion of reacting species. Hierarchical polynomial functions are used to construct an $H(\mathrm{Div})$-confor
Externí odkaz:
http://arxiv.org/abs/2101.00681
Autor:
Aggarwal, Ankush, Mortensen, Peter, Hao, Jilei, Kaczmarczyk, Łukasz, Cheung, Albert T., Al Ghofaily, Lourdes, Gorman, Robert C., Desai, Nimesh D., Bavaria, Joseph E., Pouch, Alison M.
Publikováno v:
In Medical Image Analysis July 2023 87
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 February 2023 404
Publikováno v:
In Journal of the Mechanical Behavior of Biomedical Materials February 2023 138
Akademický článek
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Autor:
Aggarwal, Ankush, Pant, Sanjay
Finding roots of equations is at the heart of most computational science. A well-known and widely used iterative algorithm is the Newton's method. However, its convergence depends heavily on the initial guess, with poor choices often leading to slow
Externí odkaz:
http://arxiv.org/abs/1803.10156
Finite elasticity problems commonly include material and geometric nonlinearities and are solved using various numerical methods. However, for highly nonlinear problems, achieving convergence is relatively difficult and requires small load step sizes
Externí odkaz:
http://arxiv.org/abs/1801.06016
Autor:
McQueen, Alistair, Escuer, Javier, Schmidt, André Fensterseifer, Aggarwal, Ankush, Kennedy, Simon, McCormick, Christopher, Oldroyd, Keith, McGinty, Sean
Publikováno v:
In Journal of Controlled Release September 2022 349:992-1008