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Title:

A Mechanistic-Empirical Aircraft Landing Distance Prediction Method

Accession Number:

01516454

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Landing overrun accidents have become a major concern over recent decades regarding airline and airport safety. This paper is aimed to study aircraft landing and build a mechanistic-empirical aircraft landing distance prediction method, which will help airport operators and airlines mitigate the risk of runway overrun. The landing distance prediction method established in this paper incorporates a mechanistic-based analysis and an empirical real data calibration. The method includes two portions: deceleration equations and the landing distance model. Deceleration equations are built according to force and moment analysis and calibrated based on digital flight data and weather data. Then, based on the deceleration equations, a landing distance model is established. When building the landing distance model, the following characteristics are considered: pilot settings (TLA, spoiler position, and flap position configurations), aircraft operational characteristics (touchdown speed and weight), the runway friction condition, and aircraft braking system characteristics. A Boeing 737-700 real data case study is done and a comparison is made with the Boeing 737 Quick Reference Handbook reference landing distance. The results indicate the model offers an accurate prediction of aircraft landing distance. In addition, this mechanistic-empirical method has several advantages over previous methods and has the potential opportunity for routine airline safety management to enhance safety.

Supplemental Notes:

This paper was sponsored by TRB committee AV070 Aircraft/Airport Compatibility.

Monograph Accession #:

01503729

Report/Paper Numbers:

14-1255

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Zhang, Cheng
Tighe, Susan L
Jeon, Soo
Kwon, Hyock Ju (HJ)

Pagination:

17p

Publication Date:

2014

Conference:

Transportation Research Board 93rd Annual Meeting

Location: Washington DC
Date: 2014-1-12 to 2014-1-16
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Aviation; Operations and Traffic Management; Planning and Forecasting; I70: Traffic and Transport

Source Data:

Transportation Research Board Annual Meeting 2014 Paper #14-1255

Files:

TRIS, TRB, ATRI

Created Date:

Jan 27 2014 2:29PM