DIGITAL SIGNAL PROCESSING FOR MN/ROAD OFFLINE DATA

A computer program based on statistics and signal process theory was developed to automatically detect peaks and valleys from sensor response signals obtained during live heavy truck and falling weight deflectometer testing. Statistics are applied to each signal to characterize the nature of the response signal and to make the detection of maxima and minima more efficient. Noise effects are treated by applying filtering techniques, including Fast Fourier Transform and time domain filtering. The procedure was found to work effectively and is now being used to process pavement response data that has been collected at the Minnesota Road Research Project (Mn/ROAD) over the past three years. The output file from the program is readily loaded into the Mn/ROAD database.

• Record URL:
  • https://hdl.handle.net/20.500.14153/mndot.13560
• 
• Corporate Authors:

  Minnesota Department of Transportation

  Office of Materials, 1400 Gervais Avenue
  Maplewood, MN  United States  55109
• Authors:
  • Dai, Shongtao
  • Van Deusen, D
• Publication Date: 1996-3

Language

• English

Media Info

• Features: Figures; References;
• Pagination: 29 p.

Subject/Index Terms

• TRT Terms: Computer programs; Detection and identification; Detectors; Fast Fourier transforms; Information processing; Interference; Live loads; Maximization; Minimization; Pavements; Static loads; Structural tests; Time domain analysis
• Old TRIS Terms: Maxima; Minima; Pavement tests
• Subject Areas: Bridges and other structures; Design; Highways; Pavements; I22: Design of Pavements, Railways and Guideways;

Filing Info

• Accession Number: 00725566
• Record Type: Publication
• Report/Paper Numbers: MN/PR-96/09, Final Report
• Files: TRIS, ATRI, STATEDOT
• Created Date: Sep 13 1996 12:00AM