Machine learning-based sound power topology optimization for shell structures

Design optimization for acoustics is a challenging problem for aerospace engineers. Broadband radiated sound power is a useful performance measure in aircraft design, but is computationally expensive with existing sensitivity analysis methods. Machine learning is a promising approach for learning and exploiting complex behaviour in acoustic response data. This article proposes using a reinforcement learning framework to generate designs with …