What question did this study set out to answer?

This research aims to develop a framework for the efficient design and optimization of graded metamaterials subjected to concentrated stochastic excitations.

August 1, 2026Journal of Engineering Mechanics

A Comprehensive Framework for Design and Optimization of Graded Metamaterials Subjected to Concentrated Bandwidth Excitations

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Authors

JPJ. PereiraUniversity of Michigan–Dearborn RRRafael O. RuizUniversity of Michigan–Dearborn

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Randomized trial demonstrates optimized design of graded metamaterials under stochastic excitations, indicating effective strategies.

Key Points

This research aims to develop a framework for the efficient design and optimization of graded metamaterials subjected to concentrated stochastic excitations.
Proposed integration of a surrogate reduced-order model utilizing multiregion component mode synthesis and PCA/kriging.
Implemented a state-space stochastic excitation model to solve performance variance efficiently using the Lyapunov equation.
Applied Bayesian optimization to identify optimal grading parameters that minimize vibration amplification.
Demonstrated a trade-off between performance and computational cost in metamaterial design.
Validated accuracy of the surrogate model in predicting stochastic performance of a 2D metamaterial.
Established that optimal design parameterization significantly depends on excitation bandwidth.

Cite This Study

Pereira et al. (2026) studied this question.

synapsesocial.com/papers/6a6d9868e258b358b3c6bc41 https://doi.org/10.1061/jenmdt.emeng-8960

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A Comprehensive Framework for Design and Optimization of Graded Metamaterials Subjected to Concentrated Bandwidth Excitations

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Cite This Study

A Comprehensive Framework for Design and Optimization of Graded Metamaterials Subjected to Concentrated Bandwidth Excitations

Discussion

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Implication

Key Points

Cite This Study

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