To address the poor low‑frequency broadband noise reduction performance and insufficient ventilation load‑reducing capacity of existing high‑speed railway sound barriers, this project investigates a design method for ventilated metamaterial sound barriers based on multi‑order Fano resonance and acoustic metamaterial theory. By constructing the coupling mechanism between discrete states and continuous states, the synergy of noise reduction and ventilation load reduction is achieved. Combined with genetic algorithms and neural networks, an inverse optimization design strategy is established, ultimately yielding an integrated metamaterial sound barrier configuration that combines both noise‑reduction and load‑reduction functionalities.

Xinhao Zhang, Assistant Researcher and Postdoctoral Fellow, School of Civil Engineering, Southwest Jiaotong University. He received his Ph.D. from Southwest Jiaotong University. His research focuses on vibration and noise control in rail transit systems, and the design of acoustic/mechanical metamaterials. He has participated in multiple research projects, including the National Key Research and Development Program of China, the Joint Fund of the National Natural Science Foundation of China, and General Program projects. As the first or corresponding author, he has published 15 SCI-indexed papers in prestigious engineering journals such as Thin-Walled Structures, Journal of Building Engineering, Construction and Building Materials, Applied Acoustics, and China Railway Science (including 2 ESI Highly Cited Papers).