Uncertainty Quantification of Tunable Elastic Metamaterials using Polynomial Chaos

TL;DR

This paper applies Polynomial Chaos theory to quantify manufacturing uncertainties in elastic metamaterials, analyzing their effects on band gaps and providing a design algorithm to account for these deviations.

Contribution

It introduces a novel application of Polynomial Chaos to quantify uncertainties in elastic metamaterials and guides robust design under manufacturing variances.

Findings

Uncertainties affect band gap width and location.

Dispersion analysis reveals the impact of surface roughness and tolerances.

The proposed algorithm aids in designing more reliable metamaterials.

Abstract

Owing to their periodic and intricate configurations, metamaterials engineered for acoustic and elastic wave control inevitably suffer from manufacturing anomalies and deviate from theoretical dispersion predictions. This work exploits the Polynomial Chaos theory to quantify the magnitude and extent of these deviations and assess their impact on the desired behavior. It is shown that uncertainties stemming from surface roughness, tolerances, and other inconsistencies in a metamaterial's unit cell parameters alter the targetted band gap width, location and the confidence level with which it is guaranteed. The effect of uncertainties are projected from a Bloch-wave dispersion analysis of three distinct phononic and resonant cellular configurations and are further confirmed in the frequency response the finite structures. The analysis concludes with a unique algorithm intended to guide the design of metamaterials in the presence of system uncertainties.