E3S Web Conf.
Volume 76, 2019The 4th International Conference on Science and Technology (ICST 2018)
|Number of page(s)||5|
|Section||Disaster Mitigation & Management|
|Published online||15 January 2019|
Multi-channel analysis of surface wave method for geotechnical site characterization in Yogyakarta, Indonesia
Department of Geology, University of Yangon, Yangon, Myanmar
2 Department of Geological Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia
3 Department of Civil and Environmental Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia
4 Department of Physics, Universitas Gadjah Mada, Yogyakarta, Indonesia
5 Department of Urban Management, Kyoto University, Kyoto, Japan
* Corresponding author: firstname.lastname@example.org
On May 27th 2006, Yogyakarta earthquake happened with 6.3 Mw. It was causing widespread destruction and loss of life and property. The average shear wave velocity to 30 m (Vs30) is useful parameter for classifying sites to predict their potential to amplify seismic shaking (Boore, 2004) . Shear wave velocity is one of the most influential factors of the ground motion. The average shear wave velocity for the top 30 m of soil is referred to as Vs30. In this study, the Vs30 values were calculated by using multichannel analysis of surface waves (MASW) method. The Multichannel Analysis of Surface Waves (MASW) method was introduced by Park et al. (1999). Multi-channel Analysis of Surface Waves (MASW) is non-invasive method of estimating the shear-wave velocity profile. It utilizes the dispersive properties of Rayleigh waves for imaging the subsurface layers. MASW surveys can be divided into active and passive surveys. In active MASW method, surface waves can be easily generated by an impulsive source like a hammer, sledge hammer, weight drops, accelerated weight drops and explosive. Seismic measurements were carried out 44 locations in Yogyakarta province, in Indonesia. The dispersion data of the recorded Rayleigh waves were processed by using Seisimager software to obtain shear wave velocity profiles of the studied area. The average shear wave velocities of the soil obtained are ranging from 200 ms-1 to 988 ms-1, respectively.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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