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RISQuantitative Representation of Aleatoric Uncertainties in Network-Like Topological Structural Systems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The complex topological characteristics of network-like structural systems, such as lattice structures, cellular metamaterials, and mass transport networks, pose a great challenge for uncertainty qualification (UQ). Various ...
Reconstruction and Generation of Porous Metamaterial Units Via Variational Graph Autoencoder and Large Language Model
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this paper, we propose and compare two novel deep generative model-based approaches for the design representation, reconstruction, and generation of porous metamaterials characterized by complex and fully connected solid ...
Designing Connectivity-Guaranteed Porous Metamaterial Units Using Generative Graph Neural Networks
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Designing 3D porous metamaterial units while ensuring complete connectivity of both solid and pore phases presents a significant challenge. This complete connectivity is crucial for manufacturability and structure-fluid ...
Design of Phononic Bandgap Metamaterials Based on Gaussian Mixture Beta Variational Autoencoder and Iterative Model Updating
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Phononic bandgap metamaterials, which consist of periodic cellular structures, are capable of absorbing energy within a certain frequency range. Designing metamaterials that trap waves across a wide wave frequency range ...