|
|
|
|
| LEADER |
01879 am a22001453u 4500 |
| 001 |
5681 |
| 042 |
|
|
|a dc
|
| 100 |
1 |
0 |
|a Norfarah Nadia Ismail,
|e author
|
| 700 |
1 |
0 |
|a Sung-Ho Joh,
|e author
|
| 700 |
1 |
0 |
|a Raja Hassanul Musa Raja Ahmad,
|e author
|
| 245 |
0 |
0 |
|a Beamforming technique for investigation of lateral variability at geotechnical sites
|
| 260 |
|
|
|b Universiti Kebangsaan Malaysia,
|c 2012-12.
|
| 856 |
|
|
|z Get fulltext
|u http://journalarticle.ukm.my/5681/1/17%2520Norfarah.pdf
|
| 520 |
|
|
|a A beamformer in seismology is a signal receptor with a series of geophones, in which a beam of elastic waves is formed like a light beam by adjusting signal delays at individual geophones. Recently, beamforming has extended its applications to surface-wave measurement. In surface-wave measurement, beamforming provides unique advantages over other surface-wave methods, such as full automation in data analysis as well as directional signal reception to minimize scattered noise and multiple reflections in signals. However, certain defects depreciate the value of beamforming in terms of its practicality and feasibility. These include the requirement of having many receivers and the loss of small wavelength data due to spatial aliasing. It leads to insensitivity in identification of lateral variability, which creates the problem of having to smooth out geologic features and complexities like folding, faults and fractures. In this paper, advances in the refinement of beamforming were described on two counts: improvement of sensitivity in identification of lateral variability and recovery of aliased wave numbers, which enables evaluation of shallow material. On the passage to refinement, synthetic waveforms for typical layering systems were generated to figure out characteristics of beamformer velocities in comparison with SASW velocities and theoretical normal-mode velocities.
|
| 546 |
|
|
|a en
|
