نتایج جستجو برای: seismic source

تعداد نتایج: 452641  

2011
Kees Wapenaar Joost van der Neut Elmer Ruigrok Deyan Draganov Jürg Hunziker Evert Slob Jan Thorbecke Roel Snieder

Seismic interferometry, also known as Green’s function retrieval by crosscorrelation, has a wide range of applications, ranging from surface-wave tomography using ambient noise, to creating virtual sources for improved reflection seismology. Despite its successful applications, the crosscorrelation approach also has its limitations. The main underlying assumptions are that the medium is lossles...

2017

Intensive seismicity was often observed in the front of tabular stopes in South African gold mines. The seismicity was usually caused by high stress concentration due to excavation, and some of the seismic events were fault rupture events. This study focuses on numerical modelling of seismic wave propagation resulted from a moment magnitude Mw = 1.4 seismic even...

2014
S. C. Stähler

Seismic source inversion is a non-linear problem in seismology where not just the earthquake parameters themselves but also estimates of their uncertainties are of great practical importance. Probabilistic source inversion (Bayesian inference) is very adapted to this challenge, provided that the parameter space can be chosen small enough to make Bayesian sampling computationally feasible. We pr...

Journal: :Eos, Transactions American Geophysical Union 2005

2003
Ramzi W. Elkhater Evangelos A. Yfantis John Istle Barbara Luke

In a stationary sensor situation, locating signals arriving from different directions can be achieved by using multiple sensors placed at different locations. Different methods for locating seismic signals using an array of seismometers have been examined. Matched field processing is a method for source localization whereby model fields are calculated and compared to measured data.

Journal: :Geophysical Journal International 2012

Journal: :Geophysical Journal International 1990

2003
Fabio Del Frate Fabrizio Rossi Giovanni Schiavon Salvatore Stramondo

The use of supervised neural networks for the estimation of seismic source parameters from SAR interferometric data is presented in this paper. The RNGCHN software allowed the generation of the input-output pairs necessary for the learning phase of the net. After being trained, the net has been tested on real measured data. The obtained results encourage future developments of such an approach.

Journal: :international journal of civil engineering 0
a. komak panah department of civil engineering, faculty of engineering tarbiat modares university, p.o. box 14155-4838 tehran, iran a.h. khoshay department of civil engineering, faculty of engineering tarbiat modares university, p.o. box 14155-4838 tehran, iran

to increase the safety of structures against strong ground motions and their life due to environmental issues on the earth and saving in terms of materials, it is necessary to expand and upgrade seismic resistant systems. however, more cost-effective systems which have sufficient influence on the seismic performance of structures and also more compatibility with the regional conditions, will be...

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