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Table of contents
1. State of the Art
1.1 Acoustic Metamaterials and Metasurfaces
1.3 Background Theory
1.3.1 Equation of State
1.3.2 Conservation of Mass
1.3.3 Conservation of Momentum
1.3.4 The Navier-Stokes Equation
1.3.5 Thermal and Viscous Losses
1.4 Conclusions
2. Methods
2.1 Numerical Modeling- The Finite Element Method
2.2 Complex Frequency Plane Analysis
2.3 Sample Fabrication
2.4 Acoustic Absorption Measurement
2.4.1 The Two-Microphone Method
2.4.2 Calibration Process
2.5 Machine Learning Algorithms
2.5.1 Discriminative and Generative Neural Networks
2.5.1.1 Principle of the Neural Network
2.5.1.2 Convolutional Neural Network
2.5.3. Note on Data Augmentation
2.6 Conclusions
3. Multi-coiled Metasurface for Extreme Low-frequency Absorption
3.1 Introduction
3.2 Coiled Metasurface Absorber
3.2.1 Two-coiled Metasurface Absorber
3.2.2 Three-coiled Structure
3.3 Multi-coiled Structure
3.3.1 Implementation of the MCM
3.3.2 Experimental Measurements
3.3.3 Bandwidth Improvement
3.3.4 Temperature Effects on the MCM
3.4 Conclusions
4. Ultrathin Acoustic Absorbing Metasurface Based on Deep Learning Approach
4.2 Structure of the Metasurface Absorber
4.3 Forward Design
4.3.1 1D Convolutional Neural Network
4.3.1.1 Network Architecture
4.3.1.2 Training and Result Analysis
4.3.2 2D Convolutional Neural Network
4.3.2.1 Network Architecture
4.3.2.2 Training and Result Analysis
4.4. Comparison with Classical Machine Learning Techniques
4.5 Acoustic Absorption Measurement
4.6 Bandwidth Improvement
4.7 Conclusions
5. Forward and Inverse Design of Metasurface Absorber for Oblique Wave Incidence
5.1 Introduction
5.2 Structure Design of Acoustic Metasurface Absorber
5.3 Data Augmentation and Preprocessing
5.4 Forward design: Convolutional Neural Network
5.4.1 Convolutional Neural Network (Processing 1D and 2D properties separately)
5.4.2 Modified Convolutional Neural Network
5.4.2.1 Network Architecture
5.4.2.2 Training Process and Result Analysis
5.4.2.3 Ablation Analysis
5.5 Inverse Design: Conditional Generative Adversarial Network
5.5.1 Network Architecture
5.5.2 Training Process and Result Analysis
5.6 Acoustic Absorption Measurements
5.7 Conclusions
General Conclusions
References
