2018
DOI: 10.1007/s00205-018-1259-8
|View full text |Cite
|
Sign up to set email alerts
|

Nonconvex Model of Material Growth: Mathematical Theory

Abstract: The model of volumetric material growth is introduced in the framework of finite elasticity. The new results obtained for the model are presented with complete proofs. The state variables include the deformations, temperature and the growth factor matrix function. The existence of global in time solutions for the quasistatic deformations boundary value problem coupled with the energy balance and the evolution of the growth factor is shown. The mathematical results can be applied to a wide class of growth model… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 41 publications
0
1
0
Order By: Relevance
“…Classical mechanical concepts, including deformation, stretch, and strain rate pressure, play a crucial role in modeling brain shape and function. The volumetric material growth model is introduced in the framework of finite elasticity and can be applied to a wide class of growth models in mechanics and biology [3]. At the same time changes in brain volume inevitably lead to changes in cognitive abilities [4], Ultrasonography (US) continues to be one of the main methods of fetal imaging [5].…”
Section: Introductionmentioning
confidence: 99%
“…Classical mechanical concepts, including deformation, stretch, and strain rate pressure, play a crucial role in modeling brain shape and function. The volumetric material growth model is introduced in the framework of finite elasticity and can be applied to a wide class of growth models in mechanics and biology [3]. At the same time changes in brain volume inevitably lead to changes in cognitive abilities [4], Ultrasonography (US) continues to be one of the main methods of fetal imaging [5].…”
Section: Introductionmentioning
confidence: 99%