A Design Framework for Compositional Hierarchical Mechanical Metamaterials via a Qualitative Unit‐Cell Library

ABSTRACT Hierarchically designed mechanical metamaterials involve nested levels of structural organization, mimicking natural structures (such as bones, wood, and bird feathers) to create advanced functional materials. Compositional hierarchy, a specific type of hierarchical strategy that involves the methodical assembly of discrete building blocks, offers unique advantages in engineering design due to its modular nature. This involves proper selection and spatial arrangements of distinct microstructures, as a result of which the desired macroscale mechanical behavior can be achieved. Toward the design of such compositional hierarchical metamaterials, this paper presents a two‐step design framework. First, material optimization of the design domain is performed using a parameterized elasticity matrix to obtain optimal conceptual designs. Second, building‐block microstructure geometries are selected from a qualitative library and subjected to shape‐size refinement to satisfy the desired kinematic or stiffness requirements. To construct the qualitative library, a novel parameterization scheme is initially introduced, which categorizes the planar orthotropic elasticity matrix into four distinct classes. Utilizing a kinetostatic load flow visualization technique, the candidate microstructure geometries are then populated within these four classes. The framework is validated for the design of a cantilever beam with a specified lateral stiffness requirement and the design of planar sheets that exhibit specified target deformation patterns. Thus, this work provides a systematic and physically intuitive methodology applicable to arbitrary kinematic deformation and stiffness requirements.

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Publication Details

Journal
Journal of Mechanical Design
Published
2026-11-11
DOI
https://doi.org/10.1002/jomd.70000
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

A Design Framework for Compositional Hierarchical Mechanical Metamaterials via a Qualitative Unit‐Cell Library

Sree Kalyan Patiballa, Girish Krishnan, Shammo Dutta
1 links
Journal of Mechanical Design
Topology Optimization in Engineering
article

A Design Framework for Compositional Hierarchical Mechanical Metamaterials via a Qualitative Unit‐Cell Library

Sree Kalyan Patiballa, Girish Krishnan, Shammo Dutta
article en

Abstract

ABSTRACT Hierarchically designed mechanical metamaterials involve nested levels of structural organization, mimicking natural structures (such as bones, wood, and bird feathers) to create advanced functional materials. Compositional hierarchy, a specific type of hierarchical strategy that involves the methodical assembly of discrete building blocks, offers unique advantages in engineering design due to its modular nature. This involves proper selection and spatial arrangements of distinct microstructures, as a result of which the desired macroscale mechanical behavior can be achieved. Toward the design of such compositional hierarchical metamaterials, this paper presents a two‐step design framework. First, material optimization of the design domain is performed using a parameterized elasticity matrix to obtain optimal conceptual designs. Second, building‐block microstructure geometries are selected from a qualitative library and subjected to shape‐size refinement to satisfy the desired kinematic or stiffness requirements. To construct the qualitative library, a novel parameterization scheme is initially introduced, which categorizes the planar orthotropic elasticity matrix into four distinct classes. Utilizing a kinetostatic load flow visualization technique, the candidate microstructure geometries are then populated within these four classes. The framework is validated for the design of a cantilever beam with a specified lateral stiffness requirement and the design of planar sheets that exhibit specified target deformation patterns. Thus, this work provides a systematic and physically intuitive methodology applicable to arbitrary kinematic deformation and stiffness requirements.

Journal of Mechanical Design
University of Illinois Urbana-Champaign (US), University of Alabama (US)
National Science Foundation
Topology Optimization in Engineering
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