Investigations of Tectonic Stress, Applied Relaxation-Source Theory to Earthquake-Explosion Discrimination

Abstract

Results relating to the analytical modeling of earthquakes by relaxation-source theory models are summarized. Applications to explosion- earthquake discrimination and earthquake source parameter estimation, particularly tectonic stress determinations, are discussed in detail. The theoretical work summarized includes: generalized representation theorems, energy considerations, equivalence theory, radiation field solutions for relaxation models of earthquakes, computer based earthquake field simulation, predictions of m sub b - M sub s relations for earthquakes and explosions, and comparisons of relaxation source theory results with results from numerical models of earthquakes. Further, the theoretical basis for m sub b - M sub s discrimination and discrimination using spectral magnitude parameters is discussed in detail. Comparative studies undertaken, involving observed data for earthquakes, include comparisons of relaxation theory spectra to observations of earthquake spectra in the near field distance range with associated inference of source properties, and modeling of the static field using numerical dislocation and relaxation models in order to infer failure conditions and prestress fields.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 15, 1975
Accession Number
ADA021744

Entities

People

  • Charles B. Archambeau

Organizations

  • University of Colorado Boulder

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Agreements
  • Computational Science
  • Computers
  • Detection
  • Doppler Effect
  • Elastic Waves
  • Explosions
  • Frequency Bands
  • Geometry
  • Mechanics
  • Near Field
  • Radiation
  • Simulations
  • Stress Concentration
  • Stresses
  • Surface Waves
  • Wave Propagation

Readers

  • Computational Modeling and Simulation
  • Plasma Physics / Magnetohydrodynamics
  • Seismology

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms