Application of a moment tensor inversion code developed for mining-induced seismicity to fracture monitoring of civil engineering materials-Reference-Cited by-同舟云学术

Application of a moment tensor inversion code developed for mining-induced seismicity to fracture monitoring of civil engineering materials

Published:2015-01 Issue: Volume:112 Page:256-267
ISSN:0926-9851
Container-title:Journal of Applied Geophysics
language:en
Short-container-title:Journal of Applied Geophysics

Author:

Linzer Lindsay,Mhamdi Lassaad,Schumacher Thomas

Funder

University of Delaware Research Foundation (UDRF)

University of Delaware

Publisher

Elsevier BV

Subject

Geophysics

Reference48 articles.

1. Quantitative Seismology;Aki,2002

2. A relative moment tensor inversion technique applied to seismicity induced by mining;Andersen,2001

3. A maximum entropy approach to underconstraint and inconsistency in the seismic source inverse problem. Finding and interpreting seismic source moments;Brawn,1989

4. From criticality to final collapse: evolution of the “b-value” from 1.5 to 1.0;Carpinteri;Chaos, Solitons Fractals,2009

5. High-resolution Mechanics of a Microearthquake Sequence;Collins;Pure Appl. Geophys,2002

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