Abstract

Lattice structures have shown great potential in that mechanical properties are customizable without changing the material itself. Lattice materials could be light and highly stiff as well. With this flexibility of designing structures without raw material processing, lattice structures have been widely used in various applications such as smart and functional structures in aerospace and computational mechanics. Conventional methodologies for understanding behaviors of lattice materials take numerical approaches such as FEA (finite element analysis) and high-fidelity computational tools including ANSYS and ABAQUS. However, they demand a high computational load in each geometry run. Among many other methodologies, homogenization is another numerical approach but that enables to model behaviors of bulk lattice materials by analyzing either a small portion of them using numerical regression for rapid processing. In this paper, we provide a comprehensive survey of representative homogenization methodologies and their status and challenges in lattice materials with their fundamentals.

Highlights

  • Lattice material is a cellular material consisting of a periodic network of structural elements such as rods or beams

  • Lattice structures or materials could be classified into several parameters, namely, geometry, deformation properties, and rigidity

  • Geometry-based classification is widely received in mathematics and solid-state physics and especially in 2-D, two main categories are considered: regular and semi-regular [9]

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Summary

Introduction

Lattice material is a cellular material consisting of a periodic network of structural elements such as rods or beams This network of lattices exists over a wide spectrum of scale from the nanoscale to macroscale and has been applied in a wide area of applications. Nowadays the manufacturing process of lattice structure can be conducted at a very fine scale and with lower overall cost [28,29,30,31] This advancement allows lattice materials to be more experimented on and be tested against existing numerical and analytical models [26,32]

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