#5639. Robust topology optimization of negative Poissons ratio metamaterials under material uncertainty

July 2026publication date
Proposal available till 22-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Analysis;
Applied Mathematics;
Engineering (all);
Computer Graphics and Computer-Aided Design;
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Abstract:
Metamaterials are synthetic materials designed to have unique properties like negative Poisson ratio (NPR). NPR metamaterials, also known as auxetics, offer significant value in applications that require high energy absorption, e.g., packing materials, medical knee pads, footwear. However, material uncertainty arising out of manufacturing tolerance, inhomogeneity of material properties, and others could lead to significant variations in the response of the metamaterials. Thus, a SIMP based robust topology optimization (RTO) design for the NPR metamaterials under material uncertainty is investigated. The weighted mean and variance of the deterministic objective function is utilized to form a robust objective function.
Keywords:
Material uncertainty; Mechanical metamaterials; Negative Poisson ratio; Robust topology optimization

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