Assessment of aircraft landing gear cumulative stroke to develop a new runway roughness evaluation index. Issue 10 (24th August 2022)

• Record Type: Journal Article
• Authors: Liu, Shifu; Ling, Jianming; Tian, Yu; Qian, Jinsong
• Is Part Of: International journal of pavement engineering. Volume 23:Issue 10(2022)
• Page Start: 3609
• Page End: 3620
• Publication Date: 2022-08-24
• Subjects: Runway roughness -- evaluation index -- landing gear cumulative stroke (LGCS) -- correlation analysis; Pavements -- Design and construction -- Periodicals; Highway engineering -- Periodicals; 625.805
• DOI: 10.1080/10298436.2021.1910823
• Languages: English
• ISSNs: 1029-8436

Abstract

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.