To enhance the vibration mitigation performance of honeycomb wave impeding blocks (HWIB) against low-frequency environmental vibrations induced by vibratory rollers, this study systematically investigates the influence of material selection and layout parameters on HWIB vibration reduction effect through bandgap theory, numerical simulation, and backpropagation neural network-genetic algorithm. Key findings include: 1) the HWIB with rubber core-foam shell composite structure achieves 91% reduction in root mean square (RMS) acceleration at monitoring points; 2) three effective vibration isolation bandgaps (0-6 Hz, 11-14 Hz, and 19-21 Hz) are identified along the M-K direction; 3) filling depth and filling thickness are identified as critical layout parameters; 4) backpropagation (BP) neural network-genetic algorithm(GA) optimization further reduces RMS acceleration and acceleration power spectral density (PSD) amplitude by 9.8% and 26.7% respectively, demonstrating significant optimization effectiveness. The research provides technical support for downsizing vibration isolation trenches, improving low-frequency vibration control, and promoting HWIB applications in construction sites.
Wang et al. (Mon,) studied this question.