遺伝的アルゴリズムを用いた消音器の最適設計

抄録

A Topology optimization attracts attention as a useful technique because of its flexibility in the design and applied to the various fields. Focusing on the acoustic field, there are some studies on the optimization design of an acoustic muffler by topology optimization. In the conventional topology optimization method, however, uses sensitivity analysis and an optimized shape depends on the initial shape. This paper presents a design method of an acoustic muffler using topology optimization based on normalized Gaussian network and genetic algorithm. This method realizes the design of an acoustic muffler under strict constraint condition without designing the initial shape. The optimized result of an acoustic muffler is presented to show usefulness of the proposed method.