![]() ![]() Lee, J.W., Kim, Y.Y.: Topology optimization of muffler internal partitions for improving acoustical attenuation performance. Zhao, W.-C., Zheng, C.-J., Liu, C., Chen, H.-B.: Minimization of sound radiation in fully coupled structural-acoustic systems using FEM-BEM based topology optimization. Zhang, X., Kang, Z.: Topology optimization of damping layers for minimizing sound radiation of shell structures. (88)90086-2ĭu, J., Olhoff, N.: Minimization of sound radiation from vibrating bi-material structures using topology optimization. 336, 507–532 (2018)īendsøe, M.P., Kikuchi, N.: Generating optimal topologies in structural design using a homogenization method. ![]() 65(2), 125–141 (2004)Ĭhen, L., Liu, C., Zhao, W., Liu, L.: An isogeometric approach of two dimensional acoustic design sensitivity analysis and topology optimization analysis for absorbing material distribution. Ishizuka, T., Fujiwara, K.: Performance of noise barriers with various edge shapes and acoustical conditions. Sakagami, K., Uyama, T., Kiyama, M., Morimoto, M.: Absorption characteristics of a doubleleaf membrane with an absorptive layer in its cavity. Nahvi, H., Fouladi, M.H., Nor, M.M.: Evaluation of whole-body vibration and ride comfort in a passenger car. Finally, we validate the proposed optimization approach through a cabin example. As a key treatment in this study, we develop a fast sensitivity analysis approach based on an adjoint variable method and the fast multipole method to calculate the sensitivities of the objective function with respect to a large number of design variables. This transforms the discrete optimization into a continuous optimization problem, which can be solved by a gradient solver with the sensitivity information. Based on the solid isotropic material with penalization method, an admittance interpolation scheme is established between the element admittance and artificial element density. The acoustic absorption characteristics of porous materials are numerically described using the Delany–Bazley–Miki empirical model and modeled by the admittance boundary conditions in the boundary element analysis. To achieve the preset optimization aim, two different objective functions are accordingly defined. The optimization seeks to improve the absorbing effects of the porous material, decreasing the noise level at regions of interest or increasing the sound energy dissipated by the porous material. In this work, we develop an optimization approach to optimize the distribution of porous material layer inside cavity. ![]()
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