LU Kexin1, 2, LI Jinhui3, SHANG Xiaodong1, 2, YUAN Minmin1, 2
Journal of Vibration and Shock. 2026, 45(19): 185-195.
To address the complex objective conditions and difficuly in quantification of subjective evaluation in the selection of noise barrier schemes, an evaluation method based on new distance measure is proposed. First, on the basis of the traditional TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution), the entropy weight method was introduced to determine the weight, eliminating the differences caused by different evaluation indexes. Further, comprehensive consideration was given to the static distance and dynamic trend, making up for the subjective assignment bias. Secondly, the Euclidean distance and gray TOPSIS were used to quickly achieve multi-scenario comparison, sorting and selection. Focusing on the position and shape relationship of the numerical sequence, this paper explored the closeness of the posture of the noise barrier scheme to the positive and negative ideal solution curves, thereby eliminating single-theory limitations and evaluation failure. Finally, the new distance measure was utilized to construct a universal noise barrier incremental class level evaluation system. Taking the noise barrier selection of Nansha Bridge as an example, the method was applied to solve insignificant low-frequency noise reduction, easy overturning of strong crosswind panel body, and poor landscape integration in the noise barrier. Finally, a reasonable, feasible and safe noise barrier scheme was selected from seven alternatives, demonstrating the feasibility of the method. The study shows that noise barrier selection based on the new distance measure improves the accuracy of evaluation weights, and solves the problems of excessive dependence on experts' subjective assignment and invalid scheme judgment with the Euclidean distance. Improvement of Euclidean distance via gray correlation, takes into account both the positional relationship and correlation, remedying the judgment failure. The method optimizes the traditional evaluation process, and improves the objectivity of index weighting, and constructs a universal hierarchical evaluation index system for highway noise barriers. The study results can provide technical reference for the scientific selection of noise barriers.
