Zobrazeno 1 - 10
of 18 180
pro vyhledávání: '"linear elasticity"'
Publikováno v:
Journal of Mathematics in Industry, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract In this work we focus on the development of a numerical algorithm for the inverse elastography problem. The goal is to perform an efficient material parameter identification knowing the elastic displacement field induced by a mechanical load
Externí odkaz:
https://doaj.org/article/eda79448eb3b4319922ee82c7225e7be
Publikováno v:
Mathematics in Engineering, Vol 6, Iss 2, Pp 261-304 (2024)
An energy functional for the obstacle problem in linear elasticity is obtained as a variational limit of nonlinear elastic energy functionals describing a material body subject to pure traction load under a unilateral constraint representing the rigi
Externí odkaz:
https://doaj.org/article/0897bd8cb4174c74be3cb4ac58c904b3
Publikováno v:
Applied Mathematics in Science and Engineering, Vol 32, Iss 1 (2024)
This work deals with a saddle point formulation of parameter identification in linear elastic contact problems with friction. Using the primal–dual formulation of the constrained minimization problem and given observations, we estimate the Lamé co
Externí odkaz:
https://doaj.org/article/3d5d37a8cde44116acd40958f0edec5b
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Adhesives can be made by patterning surfaces with discrete adhesive elements. Nature uses this approach to provide animals with highly adaptive and robust approaches towards gaining an effective grip on surfaces. The mechanism of patterned surface ad
Externí odkaz:
https://doaj.org/article/36097ca5c182414685cef203a44a6675
Autor:
Vignesh Subramaniam, Abhishek M. Shetty, Steven J. Chisolm, Taylor R. Lansberry, Anjana Balachandar, Cameron D. Morley, Thomas E. Angelini
Publikováno v:
Giant, Vol 19, Iss , Pp 100297- (2024)
Biomaterials that can be reversibly stiffened and shaped could be useful in broad biomedical applications where form-fitting scaffolds are needed. Here we investigate the combination of strong non-linear elasticity in biopolymer networks with the rec
Externí odkaz:
https://doaj.org/article/55988c5667544435bf5313d65387426f
Publikováno v:
Open Research Europe, Vol 4 (2024)
Background Large elastic deformations of gravitating cylindrical bodies play a significant role in everyday life. On the other hand, tiny such deformations are relevant for state-of-the art experiments, as they affect the physical properties of mater
Externí odkaz:
https://doaj.org/article/77cedf67f3174ead9bacd77900a2099f
Publikováno v:
Electronic Research Archive, Vol 31, Iss 11, Pp 7000-7020 (2023)
This paper is concerned with the application of a machine learning approach to inverse elastic scattering problems via neural networks. In the forward problem, the displacements are approximated by linear combinations of the fundamental tensors of th
Externí odkaz:
https://doaj.org/article/e629d4b5c1d2440da23584744b9e7654