Representation of tensor functions using lower-order structural tensor set: two-dimensional point group
Mohammad Madadi, Lin Cheng, and Pu Zhang

TL;DR
This paper establishes a complete representation theory for tensor functions of all two-dimensional point groups using only low-order structural tensors, facilitating practical modeling of anisotropic materials.
Contribution
It introduces a full set of structural tensors for all 2D point groups and derives general tensor functions based on low-order tensors, simplifying applications.
Findings
Each 2D point group has a specific structural tensor set.
Derived tensor functions are expressed using only low-order tensors.
The theory enables practical modeling of anisotropic materials.
Abstract
The representation theory of tensor functions is essential to constitutive modeling of materials including both mechanical and physical behaviors. Generally, material symmetry is incorporated in the tensor functions through a structural or anisotropic tensor that characterizes the corresponding point group. The general mathematical framework was well-established in the 1990s. Nevertheless, the traditional theory suffers from a grand challenge that many point groups involve fourth or sixth order structural tensors that hinder its practical applications in engineering. Recently, researchers have reformulated the representation theory and opened up opportunities to model anisotropic materials using low-order (i.e., 2nd-order and lower) structural tensors only, although the theory was not fully established. This work aims to fully establish the reformulated representation theory of tensor…
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