Flight Loads Data for a Boeing 737-400 in Commercial Operation.

Abstract

This report presents the flight data collected in 1993 from one Boeing 737-400 during routine commercial operation. The data collection program is part of a joint FAA/NASA effort to develop a flight recorder to obtain statistical loads data on commercial transport (FAR Part 25) aircraft during routine operations. During this prototype data collection program, 593 flights of operational flight loads were collected. Of these, 535 flights representing 817.7 hours, provided usable data. NASA developed the specifications for the recording system, defined the recording format, reduced the data to time histories of engineering units, and tested and evaluated the algorithms for data reduction and statistical reporting. The University of Dayton Research Institute (UDRI) received the flight loads data and data review software from NASA. UDRI developed soffware to reduce the flight loads data and obtain additional parameters such as derived gust velocity and continuous turbulence gust intensity. The data reduction includes, but is not limited to, analysis of e.g., accelerations, airspeeds, altitudes, flaps usage, and takeoffs and landings. Data are typically presented in cumulative distribution function or cumulative counts normalized to nautical mile or 1000 hours. Comparisons of typical usage with published FAR's are also presented.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1996
Accession Number
ADA310289

Entities

People

  • D. Skinn
  • Lisa A. Kelly
  • P. Miedlar

Organizations

  • University of Dayton

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Airframes
  • Algorithms
  • Commercial Aircraft
  • Commercial Aviation
  • Data Processing
  • Data Reduction
  • Design Criteria
  • Dynamic Pressure
  • Flight Recorders
  • Information Science
  • Mach Number
  • Passenger Aircraft
  • Recording Systems
  • Sea Level
  • Statistical Data
  • Transport Aircraft

Fields of Study

  • Physics

Readers

  • Aerospace Engineering
  • Computational Modeling and Simulation
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.