隧道表面材料反射特性对照明效果的影响分析  

Analysis of the Impact of Tunnel Surface Material Reflective Characteristics on Lighting Effectiveness

作　　者：石钊 SHI Zhao(Daye Nonferrous Design and Research Institute Co.Ltd.,Huangshi 435000,China)

机构地区：[1]大冶有色设计研究院有限公司,湖北黄石435000

出　　处：《照明工程学报》2025年第1期87-93,共7页China Illuminating Engineering Journal

摘　　要：本研究旨在深入分析隧道内各表面材料反射特性对照明效果的影响。为此采用DIALux软件建立照明仿真模型,通过该模型对照明效果进行评估。评价指标包括路面的平均亮度、总均匀度以及沿路面中线的纵向均匀度。此外运用反向传播神经网络(Back Propagation Neural Network,BPNN)进行了敏感性分析,以量化隧道拱顶、侧墙和路面材料的表面反射特性对照明效果的具体影响。研究结果表明:拱顶材料的反射系数对隧道照明效果的影响最为显著,而侧墙和路面材料的影响相对较小。此发现为隧道照明设计提供了重要的参考依据,尤其是在材料选择和照明参数优化方面,有助于提升照明系统的性能和能源效率。This study aim to thoroughly analyze the impact of the reflective properties of various tunnel surface materials on lighting effectiveness.DIALux software was used to establish a lighting simulation model to evaluate the lighting effects.The evaluation indicators include the average luminance of the road surface,overall uniformity,and longitudinal uniformity along the road surface centerline.In addition,a sensitivity analysis was performed using a Back Propagation Neural Network(BPNN)to quantify the specific impact of the surface reflectance properties of the tunnel ceiling,sidewalls,and road surface on the lighting effect.The results of the study indicate that the reflectance coefficient of the ceiling material has the most significant impact on tunnel lighting effects,while the influence of sidewall and road surface materials is relatively smaller.This finding provides important reference for tunnel lighting design,especially in terms of material selection and lighting parameter optimization,helping to enhance the performance and energy efficiency of the lighting system.

关 键 词：隧道照明 照明仿真 正交试验 BP神经网络 敏感性分析 

分 类 号：U453.7[建筑科学—桥梁与隧道工程]