Statistical Loads Data for MD-82/83 Aircraft in Commercial Operations.

Abstract

The University of Dayton is supporting Federal Aviation Administration (FAA) research on the structural integrity requirements for the US commercial transport aircraft fleet. The primary objective of this research is to support the FAA Airborne Data Monitoring Systems Research Program by developing new and improved methods and criteria for processing and presenting large commercial transport aircraft flight and ground loads usage data. The scope of activities performed involved (I) defining the service related factors which affect the operational life of commercial aircraft; (2) designing an efficient software system to reduce, store, and process large quantities of optical quick access recorder data; and (3) providing processed data in formats that will enable the FAA to reassess existing certification criteria. Equally important, these new data will also enable the FAA, the aircraft manufacturers, and the airlines to better understand and control those factors which influence the structural integrity of commercial transport aircraft. Presented herein are analyses and statistical summaries of data collected from 3987 flights representing 7120 flight hours of six typical MD-82/83 aircraft during operational usage recorded by a single airline. The data include statistical information on accelerations, speeds, altitudes, flight duration and distance, gross weights, speed brake/spoiler cycles, thrust reverser usage, and gust velocities encountered.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1999
Accession Number
ADA361459

Entities

People

  • Daniel O. Tipps
  • Donald Skinn
  • John Rustenburg

Organizations

  • University of Dayton

Tags

Communities of Interest

  • Air Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Airframes
  • Commercial Aircraft
  • Data Reduction
  • Dynamic Pressure
  • Information Science
  • Landing Gear
  • Mach Number
  • Measurement
  • Military Aircraft
  • Nose Wheels
  • Recording Systems
  • Sea Level
  • Statistical Analysis
  • Statistical Data
  • Transport Aircraft
  • Transportation

Readers

  • Aerospace Engineering
  • Aviation Safety and Air Traffic Management
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.