One-Dimensional Phononic Crystals

2012 ◽  
pp. 45-93 ◽  
Author(s):  
EI Houssaine EI Boudouti ◽  
Bahram Djafari-Rouhani
Keyword(s):  
Phononic Crystals ◽  
One Dimensional

Acoustic wave frequency filtering in constant total length phononic crystals of Al/Pb multilayer

2021 ◽  
Author(s):  
Chittaranjan Nayak ◽  
Mehdi Solaimani ◽  
Alireza Aghajamali ◽  
Arafa H. Aly
Keyword(s):  
Acoustic Wave ◽  
Phononic Crystal ◽  
Phononic Crystals ◽  
Geometrical Parameters ◽  
One Dimensional ◽  
Internal Geometry ◽  
Total Length ◽  
Acoustic Filters ◽  
System Length ◽  
Phononic Band Gaps

In this study, we have scrutinized the frequency gap generation by changing the geometrical parameters of a one-dimensional phononic crystal. For this purpose, we have calculated the transmission coefficient of an incident acoustic wave by using the transfer matrix method. We have retained and fixed the total length of the system and changed the system internal geometry not to increase the system length too much. Another reason was to adjust the phononic band gaps and get the desired transmission properties by finding the optimum internal geometry without increasing or decreasing the total length of phononic crystals. In addition, we also propose few structures with the opportunity of applications in acoustical devices such as sonic reflectors. Our results can also be of high interest to design acoustic filters in the case that transmission of certain frequencies is necessary.

PIEZOELECTRIC MATERIAL AND ONE-DIMENSIONAL PHONONIC CRYSTAL

2019 ◽  
Vol 26 (02) ◽  
pp. 1850144 ◽  
Author(s):  
ARAFA H. ALY ◽  
AHMED NAGATY ◽  
Z. KHALIFA
Keyword(s):  
Electric Field ◽  
Piezoelectric Material ◽  
Material Properties ◽  
Phononic Crystal ◽  
Defect Layer ◽  
Phononic Crystals ◽  
Localized Modes ◽  
One Dimensional ◽  
Energy Applications ◽  
Relative Change

We have theoretically obtained the transmittance properties of one-dimensional phononic crystals incorporating a piezoelectric material as a defect layer. We have used the transfer matrix method in our analysis with/without defect materials. By increasing the thickness of the defect layer, we obtained a sharp peak created within the bandgap, that indicates to the significance of defect layer thickness on the band structure. The localized modes and a particular intensity estimated within the bandgap depend on the piezoelectric material properties. By applying different quantities of an external electric field, the position of the peak shifts to different frequencies. The electric field induces a relative change in the piezoelectric thickness. Our structure may be very useful in some applications such as sensors, acoustic switches, and energy applications.

scholarly journals Generalized thermoelastic band structures of Rayleigh wave in one-dimensional phononic crystals

Meccanica ◽  
2017 ◽  
Vol 53 (4-5) ◽  
pp. 923-935 ◽  
Author(s):  
Ying Wu ◽  
Kaiping Yu ◽  
Linyun Yang ◽  
Rui Zhao
Keyword(s):  
Rayleigh Wave ◽  
Phononic Crystals ◽  
Band Structures ◽  
One Dimensional ◽  
Generalized Thermoelastic

Topological Interface States in the Low-Frequency Band Gap of One-Dimensional Phononic Crystals

2020 ◽  
Vol 14 (5) ◽  
Author(s):  
Zheng-wei Li ◽  
Xin-sheng Fang ◽  
Bin Liang ◽  
Yong Li ◽  
Jian-chun Cheng
Keyword(s):  
Band Gap ◽  
Frequency Band ◽  
Low Frequency ◽  
Interface States ◽  
Phononic Crystals ◽  
One Dimensional

scholarly journals Predicting the Dispersion Relations of One-Dimensional Phononic Crystals by Neural Networks

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Chen-Xu Liu ◽  
Gui-Lan Yu
Keyword(s):  
Neural Networks ◽  
Prediction Accuracy ◽  
Mass Density ◽  
Back Propagation ◽  
Dispersion Relations ◽  
Phononic Crystals ◽  
Training Time ◽  
One Dimensional ◽  
Density Ratios ◽  
Parameter Prediction

Abstract In this paper, deep back propagation neural networks (DBP-NNs) and radial basis function neural networks (RBF-NNs) are employed to predict the dispersion relations (DRs) of one-dimensional (1D) phononic crystals (PCs). The data sets generated by transfer matrix method (TMM) are used to train the NNs and detect their prediction accuracy. In our work, filling fractions, mass density ratios and shear modulus ratios of PCs are considered as the input values of NNs. The results show that both the DBP-NNs and the RBF-NNs exhibit good performances in predicting the DRs of PCs. For one-parameter prediction, the RBF-NNs have shorter training time and remarkable prediction accuracy, for two- and three-parameter prediction, the DBP-NNs have more stable performance. The present work confirms the feasibility of predicting the DRs of PCs by NNs, and provides a useful reference for the application of NNs in the design of PCs and metamaterials.

scholarly journals Excitation of surface waves on one-dimensional solid–fluid phononic crystals and the beam displacement effect

AIP Advances ◽  
2014 ◽  
Vol 4 (12) ◽  
pp. 124202 ◽  
Author(s):  
Rayisa P. Moiseyenko ◽  
Jingfei Liu ◽  
Sarah Benchabane ◽  
Nico F. Declercq ◽  
Vincent Laude
Keyword(s):  
Surface Waves ◽  
Phononic Crystals ◽  
Displacement Effect ◽  
One Dimensional ◽  
Beam Displacement

Impact of limiting dimension on thermal conductivity of one-dimensional silicon phononic crystals

2017 ◽  
Vol 110 (13) ◽  
pp. 133108 ◽  
Author(s):  
R. Yanagisawa ◽  
J. Maire ◽  
A. Ramiere ◽  
R. Anufriev ◽  
M. Nomura
Keyword(s):  
Thermal Conductivity ◽  
Phononic Crystals ◽  
One Dimensional
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