Adaptive Gaussian process with PCA for prediction of complex dispersion relations for periodic structures
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Publication:2077541
DOI10.1016/j.euromechsol.2022.104547OpenAlexW4211128014MaRDI QIDQ2077541
Gaofeng Jia, Min Li, Zhibao Cheng, Zhifei Shi
Publication date: 21 February 2022
Published in: European Journal of Mechanics. A. Solids (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.euromechsol.2022.104547
principal component analysisperiodic structuresuncertainty quantificationsurrogate modeladaptive Gaussian processcomplex dispersion relations
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Cites Work
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- Design and analysis of computer experiments. With comments and a rejoinder by the authors
- A taxonomy of global optimization methods based on response surfaces
- Principal component analysis.
- A metaplate for complete 3D vibration isolation
- Flexural wave propagation and attenuation through Timoshenko beam coupled with periodic resonators by the method of reverberation-ray matrix
- Sequential approximate optimization for design under uncertainty problems utilizing Kriging metamodeling in augmented input space
- Actively controllable flexural wave band gaps in beam-type acoustic metamaterials with shunted piezoelectric patches
- Kriging metamodeling for approximation of high-dimensional wave and surge responses in real-time storm/hurricane risk assessment
- Probabilistic Principal Component Analysis
- Metamodels for computer-based engineering design: Survey and recommendations
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