Study On Dynamic And Acoustic Performance Optimization Design Of Fully-enclosed Noise Barrier

With the continuous development of China’s high-speed railway technology,the noise problem is also more significant as the train speed increases.Noise barriers are widely used in railway engineering to solve noise problems along railway lines.Compared with vertical and semienclosed noise barriers,fully enclosed noise barriers have a better noise reduction effect.However,at the same time,the pulsating wind pressure value on its surface will also be more significant.Therefore,when designing fully enclosed noise barriers and maximizing the noise reduction effect,the design of its safety performance cannot be ignored.In this paper,the dynamic and acoustic performance of the fully enclosed sound barrier is studied.Based on the particle swarm optimization algorithm,the parameters of the fully enclosed sound barrier are optimized by taking the distance between the train and the sound barrier and the cross-sectional area of the noise barrier as the optimization parameters,and taking the fluctuating wind pressure of the noise barrier and the total noise pressure level of the noise measuring point as the optimization objectives.The main research work of this paper includes:(1)Based on the theoretical basis of computational fluid dynamics,the train-noise barrier model is established using the Workbench module of the finite element software ANSYS.The effects of different train-noise barrier distances and different noise barrier cross-sectional areas on the fluctuating wind pressure on the surface of the noise barrier and its distribution are studied.(2)Based on the noise reduction principle of the noise barrier,a fully enclosed noise barrier model is established by using the finite element module in the acoustic software LMS Virtual.Lab and the equivalent model of three noise sources are used as the train noise.The noise reduction effect of the noise barrier is studied.The effects of different train-noise barrier distances and different noise barrier cross-sectional areas on the noise reduction effect of the noise barrier are calculated.(3)Using the particle swarm multi-objective optimization algorithm,the pulsating wind pressure of the fully enclosed noise barrier and the minimum A-weighted total noise pressure level of the noise measuring points are used as the optimization objectives.The distance between the train,the noise barrier,and the cross-sectional area of the noise barrier are used as the parameters.The closed noise barrier has been optimally designed.From the set of Pareto optimal solutions obtained by calculation,the optimal solution that conforms to the actual engineering is selected,and the optimization effect of the optimal solution is compared and analyzed.There are 55 figures,16 tables and 112 references.