Analysis of Salmon Near-Field Data for Nonlinear Attenuation

Abstract

In order to assess the existence and impact of mild nonlinear contributions to the attenuation of seismic signals from underground explosions, free-field motion data from underground 5.3 kT nuclear test Salmon have been examined. These data, which were taken at ranges from 166 to 660 meters, show moderate strains (10-3 to .0001) which may provide nonlinear attenuation. The attenuation over an order of magnitude in peak amplitude can be described approximately by an attenuation function Q of a bit less than 10; however, the resulting waveform is noticeably wider than the data. A linear but frequency dependent Q which decreases with decreasing frequency gives a reasonable fit to much of the waveform change as well as the peak amplitude decay with range. There remains a higher speed precursor which precedes the main pulse in the data which cannot be described by this linear Q. With a spherical finite difference calculation driven by the 166 meter. Salmon pulse, it is found that a rapid shear modulus decrease at a .0001 strain threshold can reproduce the observed precursor and other features of the pulses at greater ranges when a linear absorption band Q approx. 10 is also added. The attenuation of the Salmon pulse is thus partly attributable to a nonlinear effect of material failure as well as a conventional linear mechanism. Keywords: Salmon shot.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1989
Accession Number
ADA219367

Entities

People

  • G. D. Mccartor
  • W. R. Wortman

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Earth Sciences
  • Explosions
  • Explosives
  • Failure Mode And Effect Analysis
  • Free Field
  • Frequency
  • Geography
  • Geology
  • Geophysics
  • Measurement
  • New England
  • Planetary Sciences
  • Underground Explosions
  • United States
  • Waveforms
  • Waves

Readers

  • Explosive Engineering.
  • Materials Science (Mechanical Engineering).
  • Mathematics or Statistics