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Composite materials often exhibit mechanical anisotropy owing to the material properties or geometrical configurations of the microstructure. This makes their inverse design a two-fold problem. First, we must learn the type and orientation…

计算工程、金融与科学 · 计算机科学 2024-12-19 Asghar A. Jadoon , Karl A. Kalina , Manuel K. Rausch , Reese Jones , Jan N. Fuhg

The polyconvexity of a strain-energy function is nowadays increasingly presented as the ultimate material stability condition for an idealized elastic response. While the mathematical merits of polyconvexity are clearly understood, its…

数学物理 · 物理学 2026-02-09 Maximilian P. Wollner , Gerhard A. Holzapfel , Patrizio Neff

Real-world solids, such as rocks, soft tissues, and engineering materials, are often under some form of stress. Most real materials are also, to some degree, anisotropic due to their microstructure, a characteristic often called the…

经典物理 · 物理学 2022-08-09 Soumya Mukherjee , Michel Destrade , Artur L. Gower

Gradient polyconvex materials are nonsimple materials where we do not assume smoothness of the elastic strain but instead regularity of minors of the strain is required. This allows for a larger class of admissible deformations than in the…

偏微分方程分析 · 数学 2020-01-03 Martin Horák , Martin Kružík

We present an existence theorem for a large class of nonlinearly elastic shells with low regularity in the framework of a two-dimensional theory involving the mean and Gaussian curvatures. We restrict our discussion to hyperelastic…

偏微分方程分析 · 数学 2018-05-18 Sylvia Anicic

In the present work, two machine learning based constitutive models for finite deformations are proposed. Using input convex neural networks, the models are hyperelastic, anisotropic and fulfill the polyconvexity condition, which implies…

Polyconvexity is an important concept in the analysis of energies related to elasticity. A function $f \colon \R^{d\times d} \to \R$ is called polyconvex if it can be written as a convex function in the minors of the argument. We show that…

偏微分方程分析 · 数学 2025-11-25 David Wiedemann , Malte A. Peter

Results are presented for finding the optimal orientation of an anisotropic elastic material. The problem is formulated as minimizing the strain energy subject to rotation of the material axes, under a state of uniform stress. It is shown…

材料科学 · 物理学 2007-05-23 Andrew N. Norris

Symmetric quasiconvexity plays a key role for energy minimization in geometrically linear elasticity theory. Due to the complexity of this notion, a common approach is to retreat to necessary and sufficient conditions that are easier to…

偏微分方程分析 · 数学 2019-05-22 Omar Boussaid , Carolin Kreisbeck , Anja Schlömerkemper

A key challenge in material theory is the formulation of models that satisfy all common mechanical constitutive conditions while retaining sufficient flexibility. In this context, several important modeling aspects remain unresolved for…

计算工程、金融与科学 · 计算机科学 2026-05-27 Dominik K. Klein , Karl A. Kalina , Rogelio Ortigosa , Jesús Martínez-Frutos , Markus Kästner , Oliver Weeger

We study convexity properties of energy functions in plane nonlinear elasticity of incompressible materials and show that rank-one convexity of an objective and isotropic elastic energy $W$ on the special linear group $\mathrm{SL}(2)$…

经典分析与常微分方程 · 数学 2016-09-07 Ionel-Dumitrel Ghiba , Robert J. Martin , Patrizio Neff

Anisotropy in the mechanical response of materials with microstructure is common and yet is difficult to assess and model. To construct accurate response models given only stress-strain data, we employ classical representation theory, novel…

材料科学 · 物理学 2022-09-07 Jan N. Fuhg , Nikolaos Bouklas , Reese E. Jones

Soft solids with surface energy exhibit complex mechanical behavior, necessitating advanced constitutive models to capture the interplay between bulk and surface mechanics. This interplay has profound implications for material design and…

数学物理 · 物理学 2025-12-12 Martin Horák , Michal Šmejkal , Martin Kružík

The design of physics-augmented neural networks (PANNs) for the purposes of constitutive modeling has received considerable attention as of late for a variety of material behaviors. Here, we revisit the classical framework of isotropic…

A weak-strong uniqueness result is proved for measure-valued solutions to the system of conservation laws arising in elastodynamics. The main novelty brought forward by the present work is that the underlying stored-energy function of the…

偏微分方程分析 · 数学 2020-07-17 Konstantinos Koumatos , Stefano Spirito

The paper addresses the problem of finding the necessary and sufficient conditions to be satisfied by the engineering moduli of an anisotropic material for the elastic energy to be positive for each state of strain or stress. The problem is…

经典物理 · 物理学 2024-04-29 Paolo Vannucci

We propose a model for rate-independent evolution in elastoplastic materials under external loading, which allows large strains. In the setting of strain-gradient plasticity with multiplicative decomposition of the deformation gradient, we…

偏微分方程分析 · 数学 2021-09-01 Martin Kružík , Jiří Zeman

Incompressible nonlinearly hyperelastic materials are rarely simulated in Finite Element numerical experiments as being perfectly incompressible because of the numerical difficulties associated with globally satisfying this constraint. Most…

软凝聚态物质 · 物理学 2020-09-07 Aisling Ni Annaidh , Michel Destrade , Michael D. Gilchrist , Jerry G. Murphy

This work investigates different sufficient and necessary criteria for hyperelastic, isotropic polyconvex material models, focusing on neural network implementations for compressible and incompressible materials. Furthermore, the…

计算工程、金融与科学 · 计算机科学 2026-04-14 Gian-Luca Geuken , Patrick Kurzeja , David Wiedemann , Martin Zlatić , Marko Čanađija , Jörn Mosler

The elastic energy of mixing for multi-component solid solutions is derived by generalizing Eshelby's sphere-in-hole model for binary alloys. By surveying the dependence of the elastic energy on chemical composition and lattice misfit, we…

材料科学 · 物理学 2021-09-01 Reza Darvishi Kamachali , Lei Wang
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