Optimization of double-layer absorbers on constrained sound absorption system by using genetic algorithm

2005 ◽  
Vol 62 (3) ◽  
pp. 317-333 ◽  
Author(s):  
Ying-Chun Chang ◽  
Long-Jyi Yeh ◽  
Min-Chie Chiu
Keyword(s):  
Genetic Algorithm ◽  
Double Layer ◽  
Sound Absorption ◽  
Absorption System

scholarly journals Improvement of sound absorption and insulation using a double-layer metamaterial

AIP Advances ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 095010
Author(s):  
Qiquan Zheng ◽  
Honggang Zhao ◽  
Yang Wang ◽  
Junhui Cao ◽  
Jihong Wen
Keyword(s):  
Double Layer ◽  
Sound Absorption

Sound Absorption Optimization of Graded Semi-Open Cellular Metals by Adopting the Genetic Algorithm Method

2014 ◽  
Vol 136 (6) ◽  
Author(s):  
H. Meng ◽  
F. X. Xin ◽  
T. J. Lu
Keyword(s):  
Genetic Algorithm ◽  
Sound Absorption ◽  
Geometrical Parameters ◽  
Impedance Model ◽  
Cellular Metal ◽  
Design Variables ◽  
Genetic Algorithm Method ◽  
Pore Opening ◽  
Cellular Metals ◽  
Good Agreement

Built upon the acoustic impedance of circular apertures and cylindrical cavities as well as the principle of electroacoustic analogy, an impedance model is developed to investigate theoretically the sound absorption properties of graded (multilayered) cellular metals having semi-open cells. For validation, the model predictions are compared with existing experimental results, with good agreement achieved. The results show that the distribution of graded geometrical parameters in the semi-open cellular metal, including porosity, pore size, and degree of pore opening (DPO), affects significantly its sound absorbing performance. A strategy by virtue of the genetic algorithm (GA) method is subsequently developed to optimize the sound absorption coefficient of the graded semi-open cellular metal. The objective functions and geometric constraint conditions are given in terms of the key geometrical parameters as design variables. Optimal design is conducted to seek for optimal distribution of the geometrical parameters in graded semi-open cellular metals.

Sound Absorption Optimization of Porous Materials Using BP Neural Network and Genetic Algorithm

2016 ◽  
Author(s):  
Lianhui Wang ◽  
Shuming Chen ◽  
Dengfeng Wang ◽  
Yang Jiang ◽  
Jing Chen
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Porous Materials ◽  
Bp Neural Network ◽  
Sound Absorption

scholarly journals Improving the Morphological Parameters of Aluminum Foam for Maximum Sound Absorption Coefficient using Genetic Algorithm

2021 ◽  
Vol 55 (2) ◽  
pp. 117-130
Author(s):  
Mohammad Javad Jafari ◽  
Mohsen Niknam Sharak ◽  
Ali Khavanin ◽  
Touraj Ebadzadeh ◽  
Mahmood Fazlali ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Absorption Coefficient ◽  
Sound Absorption ◽  
Aluminum Foam ◽  
Sound Absorption Coefficient ◽  
Morphological Parameters

scholarly journals Optimization of double layered beam shaping assembly using genetic algorithm

2018 ◽  
Vol 24 (4) ◽  
pp. 157-164
Author(s):  
◽  
Gede Bayu Suparta ◽  
Arief Hermanto ◽  
Dwi Satya Palupi ◽  
Yohannes Sardjono ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Thermal Neutron ◽  
Double Layer ◽  
Beam Shaping ◽  
New Method ◽  
Neutron Filter ◽  
Genetic Algorithm Method ◽  
Layered Beam ◽  
Beam Shaping Assembly ◽  
Radiation Beams

Abstract The genetic algorithm method is a new method used to obtain radiation beams that meet the IAEA requirements. This method is used in optimization of configurations and compositions of materials that compose double layered Beam Shaping Assembly (BSA). The double layered BSA is modeled as having two layers of material for each of the components, which are the moderator, reflector, collimator, and filter. Up to 21st generation, the optimization results in four (4) individuals having the capacity to generate the most optimum radiation beams. The best configuration, producing the most optimum radiation beams, is attained by using combinations of materials, that is by combining Al with either one of CaF2 and PbF2for moderator; combining Pb material with either Ni or Pb for reflector; combining Ni and either FeC or C for collimator, and FeC+LiF and Cd for fast and thermal neutron filter. The parameters of radiation resulted from the four configurations of double layer BSA adequately satisfy the standard of the IAEA.

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