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Articulo cientifico
by A.E. Babacan S. Ceylan
This study focuses on demonstrating how a holistic approach based on geophysical, geotechnical, and Artificial Neural Network (ANN) methods in a region where urban development is intense will crucially contribute to the assessment of liquefaction potential. The liquefaction potential of the coastal part of the Araklı district of Trabzon has been evaluated. First, earthquake scenarios for different magnitudes, which may affect the study area, were produced. Maximum acceleration values to use in liquefaction analysis were calculated from the scenarios. Second, geophysical data were collected using seismic refraction, multichannel analysis of surface waves, electrical resistivity tomography, and ambient vibrations measures. In addition, results of standard penetration test were taken from the drillings in the region. The liquefaction potential using these data was also determined by ANN. The results show that the studied area has a serious risk of liquefaction and the more reliable liquefaction estimates are performed in the study area with the holistic approach. The results of this study will be of great importance for taking necessary measures in constructing engineering projects in the region, especially along the coastline.
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Articulo cientifico
by Muhammad Farid, Lindung Zalbuin Mase
Bengkulu, a city on west coast of Sumatra Island Indonesia, is very vulnerable to undergo earthquake and other natural hazards. A seismic hazard mitigation should be prioritised in this developing city. This paper presents the seismic hazard mapping on the basis of shear strain indicator for spatial plan in Bengkulu City, Indonesia. The values of ground shear strain can be the indicator for the possible damage that could occur in an area. This study was initiated by performing geophysical measurements using microtremor to obtain the geophysical description of study area. The analysis of horizontal to vertical spectral ratio (H/V) was further performed to determine peak amplitude (A0) and predominant frequency (f0). From those parameters, the empirical analyses of vulnerability indices (Kg) and ground shear strain (γ) were conducted. All results such as A0, f0, Kg, and γ were depicted in microzonation maps. The results showed that Bengkulu City was generally vulnerable to undergo seismic impact. The concern was focused along coastal area of Bengkulu City since the liquefaction damage could occur in this area. Results of this study could bring a recommendation to stakeholders to consider seismic hazard mitigation for Bengkulu City
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Actas de congresos
In the mid-1980s, the surface wave method was initially exhibited as an instrument for the geotechnical engineering field. This non-obtrusive seismic method of multi-channel examination of surface waves is prominently used to draw out the shear-wave velocity profile (variation of soil with respect to its depth). In an attempt to increase the sureness in the construed shear wave velocity (Vs) profile as a result of the ambiguity in the analysed dispersion characteristics, the multichannel method is used in this research to characterize six test sites on the campus of Delhi Technological University, Delhi. The multi-channel analysis of surface waves (MASW) method commenced from the traditional seismic survey method that engages twenty-four receivers positioned all along a linear survey track. The current study implies results from MASW survey at six sites within the DTU campus, for which the MASW data acquisition comprise of the use of a 24-channel PASI seismograph and 24 numbers of 4.5 Hz Vertical geo-phones set apart at 2 m each and source offset (2 m,4 m). The seismic power source was a steel sledgehammer (15 lbs). In order to develop and invert the surface-wave seismic data in addition to creating the one-dimensional depth versus Shear Wave Velocity (Vs) profiles WinMasw software was used. The mean shear wave velocity of the current study area is 285 m/sec. The mean shear wave velocity for Delhi city is in a range of 110 to 350 m/s.
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