ABSTRACT

This study was undertaken to develop a new index, the Main Landing Gear Cumulative Stroke (MLGCS) index, to evaluate airport runway roughness. Using ADAMS/Aircraft software, we first developed and validated a virtual prototype model of the Boeing B737-800 aircraft and then employed the model to predict the aircraft’s dynamic responses with regard to roughness. Using this prototype model and comparing it to the International Roughness Index (IRI) that is designed to evaluate roadway roughness, we established a landing gear cumulative stroke (LGCS) model to represent runway roughness. The results show that taxiing speed is an important factor using the LGCS model. According to the most unfavorable scenario, we determined the LGCS of the nose landing gear to be 100 km/h and that of the main landing gear to be 60 km/h. These results underscore that, based on correlation analysis, using the cumulative stroke of the main landing gear is more reasonable than using that of the nose landing gear to evaluate runway roughness. Furthermore, based on measured data for 37 runways, a comparison of commonly used roughness indices indicates that the MLGCS index proposed in this paper is superior to both the Boeing Bump Index and the IRI.

摘要

这项研究旨在开发一种新的指数，即主起落架累积行程 (MLGCS) 指数，以评估机场跑道的粗糙度。使用 ADAMS/Aircraft 软件，我们首先开发并验证了波音 B737-800 飞机的虚拟原型模型，然后使用该模型来预测飞机在粗糙度方面的动态响应。使用该原型模型并将其与旨在评估道路粗糙度的国际粗糙度指数 (IRI) 进行比较，我们建立了起落架累积行程 (LGCS) 模型来表示跑道粗糙度。结果表明，滑行速度是使用 LGCS 模型的一个重要因素。根据最不利的情况，我们确定前起落架的 LGCS 为 100 km/h，主起落架的 LGCS 为 60 km/h。这些结果强调，基于相关性分析，使用主起落架的累积行程比使用前起落架的累积行程来评估跑道不平度更合理。此外，基于 37 条跑道的实测数据，比较常用的粗糙度指标表明，本文提出的 MLGCS 指标优于波音 Bump Index 和 IRI。