Lei Kang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Lei Kang has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Liangwen Qi
School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou 730070, China
1 shared publication - Ting Song
School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou 730070, China
1 shared publication - Xiao-Dong Wen
School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou 730070, China
1 shared publication - Xiao-Wei Sun
School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou 730070, China
1 shared publication - Yue Cao
School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou 730070, China
1 shared publication
Latest Publications
- Open Access
Topological Design of Two-Dimensional Phononic Crystals Based on Genetic Algorithm
Phononic crystals are a kind of artificial acoustic metamaterial whose mass density and elastic modulus are periodically arranged. The precise and efficient design of phononic crystals with specific bandgap characteristics has attracted increasing attention in past decades. In this paper, an improved adaptive genetic algorithm is proposed for the reverse customization of two-dimensional phononic crystals designed to maximize the relative bandwidth at low frequencies. The energy band dispersion relation and transmission loss of the optimal structure are calculated by the finite-element method, and the effective wave-attenuation effect in the bandgap range is verified. This provides a solution for the custom-made design of acoustic metamaterials with excellent low-frequency bandgap sound insulation or other engineering applications.
Open AccessTopological Design of Two-Dimensional Phononic Crystals Based on Genetic Algorithm
Phononic crystals are a kind of artificial acoustic metamaterial whose mass density and elastic modulus are periodically arranged. The precise and efficient design of phononic crystals with specific bandgap characteristics has attracted increasing attention in past decades. In this paper, an improved adaptive genetic algorithm is proposed for the reverse customization of two-dimensional phononic crystals designed to maximize the relative bandwidth at low frequencies. The energy band dispersion relation and transmission loss of the optimal structure are calculated by the finite-element method, and the effective wave-attenuation effect in the bandgap range is verified. This provides a solution for the custom-made design of acoustic metamaterials with excellent low-frequency bandgap sound insulation or other engineering applications.