Baimukhametov Gadel, White Greg
School of Science, Technology and Engineering, University of Sunshine Coast, Sippy Downs, QLD 4556, Australia.
Sensors (Basel). 2024 Nov 29;24(23):7661. doi: 10.3390/s24237661.
Runway surface friction is critically important to safe aircraft operations and mostly depends on the surface texture, which provides grip in the presence of contamination and directly affects the friction coefficient in general. Microtexture assessment is the most challenging part of texture assessment since there is no standardised pavement microtexture control method in runway maintenance and management practice. The purpose of this study was to develop a simple laser profilometer and analysis model and subsequent validation for use in runway friction surveys. To that end, a simple laser profilometer was developed, and a profile picture analysis and macrotexture filtration method were designed. Test results were compared to the stylus-based roughness tester and the British Pendulum Tester. The proposed profile picture analysis and profile smothering and filtration methodology, based on linear approximation, is simpler and more effective for the case of macrotexture filtration for the friction survey. The laser profilometer model results were highly correlated with the stylus-based roughness tester results (R = 0.99). The average roughness of the microtexture profile, after smothering and macrotexture filtration, also showed good correlation with the British Pendulum results (R = 0.78). The results from this study confirm the possibility of texture assessment for routine runway friction surveys using a simple and economical laser profilometer, which is not routinely available in current airport surface friction management.
跑道表面摩擦力对飞机安全运行至关重要，且主要取决于表面纹理，表面纹理在有污染物的情况下提供抓地力，通常直接影响摩擦系数。微观纹理评估是纹理评估中最具挑战性的部分，因为在跑道维护和管理实践中没有标准化的路面微观纹理控制方法。本研究的目的是开发一种简单的激光轮廓仪和分析模型，并随后进行验证，以用于跑道摩擦调查。为此，开发了一种简单的激光轮廓仪，并设计了一种轮廓图片分析和宏观纹理过滤方法。将测试结果与基于触针的粗糙度测试仪和英国摆式测试仪进行了比较。所提出的基于线性近似的轮廓图片分析以及轮廓平滑和过滤方法，对于摩擦调查中的宏观纹理过滤情况而言更简单且更有效。激光轮廓仪模型结果与基于触针的粗糙度测试仪结果高度相关（R = 0.99）。经过平滑处理和宏观纹理过滤后，微观纹理轮廓的平均粗糙度与英国摆式测试仪的结果也显示出良好的相关性（R = 0.78）。本研究结果证实了使用一种简单且经济的激光轮廓仪进行常规跑道摩擦调查纹理评估的可能性，而这种激光轮廓仪在当前机场表面摩擦管理中并非常规可用。
