One of the factors that can be used to estimate the earthquake hazard to a building is knowing th... more One of the factors that can be used to estimate the earthquake hazard to a building is knowing the resonance value of the building. The resonance value of the building can be determined by performing microtremor measurements to obtain the natural frequency value of the building and the ground and then it be calculated to get resonance value between the building and the ground beneath it. Microtremor measurements were performed on four buildings at State Collage of Meteorology Climatology and Geophysics (STMKG). The investigated buildings have varying in height between 2 to 3 floors. Which consists of B1, B2, B3, and B4 buildings. It be measured on the different parts of the building structure (corners and center of the structures). The research was conducted to find out the resonance characteristic between the ground and the building. The equipment consist of a set of Lennartz Mark 3D seismometer with the duration of recording for 1 hour. HVSR (Horizontal to Vertical Spectral Ratio) method used to process and analyze microtremor data of the ground and then spectrum analysis applied to get the general characteristics of each component in each building. In general, the highest resonance value is obtained in B2 building. Low to moderate resonance is found in B1 building. While the B3 and B4 buildings have the same characteristics. It have low and high resonance value.
The PGA (Peak Ground Acceleration) estimation is the essential parameter in Seismic Hazard Assess... more The PGA (Peak Ground Acceleration) estimation is the essential parameter in Seismic Hazard Assessments (SHA). PSHA (Probabilistic SHA) relies on generalized attenuation equation which contains uncertainty for estimation of PGA. A sophisticated method, NDSHA (Noe-Deterministic SHA) procedure has advantages in determination of PGA from realistic model of synthetic accelerogram from source-specific properties and cooperates with the structural model of sites. At the regional scale, calculation of PGA is based on one-dimensional modal summation technique. We validated the synthetic accelerogram with observations during the M 6.5 Pidie Jaya earthquake on December 7th, 2016. Those observational accelerograms data were recorded by two stations of three-channel accelerometers deployed by BMKG, namely KCSI and LASI. Based on recorded data of the stations, evidently, the synthetics accelerogram has been well verified at the KCSI station which is located on bedrock area and less suitable for the LASI station which is located on thick sediment region. The modal summation technique is not suitable for the area located on thick sediment layer because the amplification effect which works in two-dimensional regime cannot be handle by the one-dimensional approach. Two or three-dimensional approach should be applied to the sedimentary layer at a local scale NDSHA in order to compute the amplification effect.The PGA (Peak Ground Acceleration) estimation is the essential parameter in Seismic Hazard Assessments (SHA). PSHA (Probabilistic SHA) relies on generalized attenuation equation which contains uncertainty for estimation of PGA. A sophisticated method, NDSHA (Noe-Deterministic SHA) procedure has advantages in determination of PGA from realistic model of synthetic accelerogram from source-specific properties and cooperates with the structural model of sites. At the regional scale, calculation of PGA is based on one-dimensional modal summation technique. We validated the synthetic accelerogram with observations during the M 6.5 Pidie Jaya earthquake on December 7th, 2016. Those observational accelerograms data were recorded by two stations of three-channel accelerometers deployed by BMKG, namely KCSI and LASI. Based on recorded data of the stations, evidently, the synthetics accelerogram has been well verified at the KCSI station which is located on bedrock area and less suitable for the LASI station which i...
"This study focuses on the development of an Indonesian strong ground motion database. This ... more "This study focuses on the development of an Indonesian strong ground motion database. This research will be an important contribution to Indonesian earthquake hazard assessment. This work will be perform in three (3) stages: (1) construction of earthquake-related parameters catalogue; (2) compilation of site condition information using various techniques; and (3) processing recorded ground-motions using well-known procedures to produce ground motion parameters commonly used in seismology and engineering applications. The construction of the database in this study produced 3090 records from about 249 earthquakes. It found among 249 earthquakes in this study 63 earthquakes categorize as interface/megathrust, 161 earthquakes as intraslab, 4 earthquakes as crustal, and 21 earthquakes are of unknown type. Then, the database will be used for investigating which published Ground Motion Prediction Equations (GMPE) are appropriate to use in Indonesian earthquake hazard assessment. The relevant GMPEs compared in this study are based on the resemblance of geologic and tectonic conditions of the regions where the GMPEs were developed to the study area. Twelve GMPEs have been considered in this study, consisting of nine GMPEs derived for subduction-zone event types (intraslab and interface regimes) and three GMPEs derived for the crustal regime. The analysis of GMPEs in this study was done using the graphical analysis of residuals between the observed ground motion value and the corresponding values predicted by each GMPE. The visual analysis of the statistical graphs presented in this study indicates four GMPEs (Youngs (1997), Zhao (2006), Kanno (2006) and Lin-Lee (2008) match with the recorded data reasonably well, while the others have poor fit with the data. In this study, we also rank the GMPEs using the quantitative method proposed by Scherbaum et.al (2004). The Scherbaum e.al (2004) scheme shows that comparison of PGA/PSA with threshold value 0.0005 m/s2 gives a better output than using all data. In this study, we fou [...]
The shearwave velocity over the top 30 m subsoil (Vs30) is an important assessment parameter of s... more The shearwave velocity over the top 30 m subsoil (Vs30) is an important assessment parameter of seismic ground surface motion. The 30 m top layer of soil is the closest to the structure of the building, and could have different effects depending on the type of soil and topography. The Indonesian earthquake code for building and non building structures known as SNI 1726-2012 uses the directly measured Vs30 as the primary parameter to identify the stiffness effect of sediment. The Vs30 can be measured using non invasive methods, such as multi-channel analysis of surface waves (MASW). This research was carried out by correlating the Vs30 obtained from series of MASW tests with estimated Vs30 values obtained using the Wald-Allen method and the geologic age based method. The former used the Shuttle Radar Topography Mission (SRTM) 30 arcsec data, and the topographic slope was evaluated using GIS software to estimate Vs30. The latter used the data in the geologic map available. The researc...
"This study focuses on the development of an Indonesian strong ground motion database. This ... more "This study focuses on the development of an Indonesian strong ground motion database. This research will be an important contribution to Indonesian earthquake hazard assessment. This work will be perform in three (3) stages: (1) construction of earthquake-related parameters catalogue; (2) compilation of site condition information using various techniques; and (3) processing recorded ground-motions using well-known procedures to produce ground motion parameters commonly used in seismology and engineering applications. The construction of the database in this study produced 3090 records from about 249 earthquakes. It found among 249 earthquakes in this study 63 earthquakes categorize as interface/megathrust, 161 earthquakes as intraslab, 4 earthquakes as crustal, and 21 earthquakes are of unknown type. Then, the database will be used for investigating which published Ground Motion Prediction Equations (GMPE) are appropriate to use in Indonesian earthquake hazard assessment. The relevant GMPEs compared in this study are based on the resemblance of geologic and tectonic conditions of the regions where the GMPEs were developed to the study area. Twelve GMPEs have been considered in this study, consisting of nine GMPEs derived for subduction-zone event types (intraslab and interface regimes) and three GMPEs derived for the crustal regime. The analysis of GMPEs in this study was done using the graphical analysis of residuals between the observed ground motion value and the corresponding values predicted by each GMPE. The visual analysis of the statistical graphs presented in this study indicates four GMPEs (Youngs (1997), Zhao (2006), Kanno (2006) and Lin-Lee (2008) match with the recorded data reasonably well, while the others have poor fit with the data. In this study, we also rank the GMPEs using the quantitative method proposed by Scherbaum et.al (2004). The Scherbaum e.al (2004) scheme shows that comparison of PGA/PSA with threshold value 0.0005 m/s2 gives a better output than using all data. In this study, we fou [...]
One of the factors that can be used to estimate the earthquake hazard to a building is knowing th... more One of the factors that can be used to estimate the earthquake hazard to a building is knowing the resonance value of the building. The resonance value of the building can be determined by performing microtremor measurements to obtain the natural frequency value of the building and the ground and then it be calculated to get resonance value between the building and the ground beneath it. Microtremor measurements were performed on four buildings at State Collage of Meteorology Climatology and Geophysics (STMKG). The investigated buildings have varying in height between 2 to 3 floors. Which consists of B1, B2, B3, and B4 buildings. It be measured on the different parts of the building structure (corners and center of the structures). The research was conducted to find out the resonance characteristic between the ground and the building. The equipment consist of a set of Lennartz Mark 3D seismometer with the duration of recording for 1 hour. HVSR (Horizontal to Vertical Spectral Ratio)...
One of the factors that can be used to estimate the earthquake hazard to a building is knowing th... more One of the factors that can be used to estimate the earthquake hazard to a building is knowing the resonance value of the building. The resonance value of the building can be determined by performing microtremor measurements to obtain the natural frequency value of the building and the ground and then it be calculated to get resonance value between the building and the ground beneath it. Microtremor measurements were performed on four buildings at State Collage of Meteorology Climatology and Geophysics (STMKG). The investigated buildings have varying in height between 2 to 3 floors. Which consists of B1, B2, B3, and B4 buildings. It be measured on the different parts of the building structure (corners and center of the structures). The research was conducted to find out the resonance characteristic between the ground and the building. The equipment consist of a set of Lennartz Mark 3D seismometer with the duration of recording for 1 hour. HVSR (Horizontal to Vertical Spectral Ratio) method used to process and analyze microtremor data of the ground and then spectrum analysis applied to get the general characteristics of each component in each building. In general, the highest resonance value is obtained in B2 building. Low to moderate resonance is found in B1 building. While the B3 and B4 buildings have the same characteristics. It have low and high resonance value.
The PGA (Peak Ground Acceleration) estimation is the essential parameter in Seismic Hazard Assess... more The PGA (Peak Ground Acceleration) estimation is the essential parameter in Seismic Hazard Assessments (SHA). PSHA (Probabilistic SHA) relies on generalized attenuation equation which contains uncertainty for estimation of PGA. A sophisticated method, NDSHA (Noe-Deterministic SHA) procedure has advantages in determination of PGA from realistic model of synthetic accelerogram from source-specific properties and cooperates with the structural model of sites. At the regional scale, calculation of PGA is based on one-dimensional modal summation technique. We validated the synthetic accelerogram with observations during the M 6.5 Pidie Jaya earthquake on December 7th, 2016. Those observational accelerograms data were recorded by two stations of three-channel accelerometers deployed by BMKG, namely KCSI and LASI. Based on recorded data of the stations, evidently, the synthetics accelerogram has been well verified at the KCSI station which is located on bedrock area and less suitable for the LASI station which is located on thick sediment region. The modal summation technique is not suitable for the area located on thick sediment layer because the amplification effect which works in two-dimensional regime cannot be handle by the one-dimensional approach. Two or three-dimensional approach should be applied to the sedimentary layer at a local scale NDSHA in order to compute the amplification effect.The PGA (Peak Ground Acceleration) estimation is the essential parameter in Seismic Hazard Assessments (SHA). PSHA (Probabilistic SHA) relies on generalized attenuation equation which contains uncertainty for estimation of PGA. A sophisticated method, NDSHA (Noe-Deterministic SHA) procedure has advantages in determination of PGA from realistic model of synthetic accelerogram from source-specific properties and cooperates with the structural model of sites. At the regional scale, calculation of PGA is based on one-dimensional modal summation technique. We validated the synthetic accelerogram with observations during the M 6.5 Pidie Jaya earthquake on December 7th, 2016. Those observational accelerograms data were recorded by two stations of three-channel accelerometers deployed by BMKG, namely KCSI and LASI. Based on recorded data of the stations, evidently, the synthetics accelerogram has been well verified at the KCSI station which is located on bedrock area and less suitable for the LASI station which i...
"This study focuses on the development of an Indonesian strong ground motion database. This ... more "This study focuses on the development of an Indonesian strong ground motion database. This research will be an important contribution to Indonesian earthquake hazard assessment. This work will be perform in three (3) stages: (1) construction of earthquake-related parameters catalogue; (2) compilation of site condition information using various techniques; and (3) processing recorded ground-motions using well-known procedures to produce ground motion parameters commonly used in seismology and engineering applications. The construction of the database in this study produced 3090 records from about 249 earthquakes. It found among 249 earthquakes in this study 63 earthquakes categorize as interface/megathrust, 161 earthquakes as intraslab, 4 earthquakes as crustal, and 21 earthquakes are of unknown type. Then, the database will be used for investigating which published Ground Motion Prediction Equations (GMPE) are appropriate to use in Indonesian earthquake hazard assessment. The relevant GMPEs compared in this study are based on the resemblance of geologic and tectonic conditions of the regions where the GMPEs were developed to the study area. Twelve GMPEs have been considered in this study, consisting of nine GMPEs derived for subduction-zone event types (intraslab and interface regimes) and three GMPEs derived for the crustal regime. The analysis of GMPEs in this study was done using the graphical analysis of residuals between the observed ground motion value and the corresponding values predicted by each GMPE. The visual analysis of the statistical graphs presented in this study indicates four GMPEs (Youngs (1997), Zhao (2006), Kanno (2006) and Lin-Lee (2008) match with the recorded data reasonably well, while the others have poor fit with the data. In this study, we also rank the GMPEs using the quantitative method proposed by Scherbaum et.al (2004). The Scherbaum e.al (2004) scheme shows that comparison of PGA/PSA with threshold value 0.0005 m/s2 gives a better output than using all data. In this study, we fou [...]
The shearwave velocity over the top 30 m subsoil (Vs30) is an important assessment parameter of s... more The shearwave velocity over the top 30 m subsoil (Vs30) is an important assessment parameter of seismic ground surface motion. The 30 m top layer of soil is the closest to the structure of the building, and could have different effects depending on the type of soil and topography. The Indonesian earthquake code for building and non building structures known as SNI 1726-2012 uses the directly measured Vs30 as the primary parameter to identify the stiffness effect of sediment. The Vs30 can be measured using non invasive methods, such as multi-channel analysis of surface waves (MASW). This research was carried out by correlating the Vs30 obtained from series of MASW tests with estimated Vs30 values obtained using the Wald-Allen method and the geologic age based method. The former used the Shuttle Radar Topography Mission (SRTM) 30 arcsec data, and the topographic slope was evaluated using GIS software to estimate Vs30. The latter used the data in the geologic map available. The researc...
"This study focuses on the development of an Indonesian strong ground motion database. This ... more "This study focuses on the development of an Indonesian strong ground motion database. This research will be an important contribution to Indonesian earthquake hazard assessment. This work will be perform in three (3) stages: (1) construction of earthquake-related parameters catalogue; (2) compilation of site condition information using various techniques; and (3) processing recorded ground-motions using well-known procedures to produce ground motion parameters commonly used in seismology and engineering applications. The construction of the database in this study produced 3090 records from about 249 earthquakes. It found among 249 earthquakes in this study 63 earthquakes categorize as interface/megathrust, 161 earthquakes as intraslab, 4 earthquakes as crustal, and 21 earthquakes are of unknown type. Then, the database will be used for investigating which published Ground Motion Prediction Equations (GMPE) are appropriate to use in Indonesian earthquake hazard assessment. The relevant GMPEs compared in this study are based on the resemblance of geologic and tectonic conditions of the regions where the GMPEs were developed to the study area. Twelve GMPEs have been considered in this study, consisting of nine GMPEs derived for subduction-zone event types (intraslab and interface regimes) and three GMPEs derived for the crustal regime. The analysis of GMPEs in this study was done using the graphical analysis of residuals between the observed ground motion value and the corresponding values predicted by each GMPE. The visual analysis of the statistical graphs presented in this study indicates four GMPEs (Youngs (1997), Zhao (2006), Kanno (2006) and Lin-Lee (2008) match with the recorded data reasonably well, while the others have poor fit with the data. In this study, we also rank the GMPEs using the quantitative method proposed by Scherbaum et.al (2004). The Scherbaum e.al (2004) scheme shows that comparison of PGA/PSA with threshold value 0.0005 m/s2 gives a better output than using all data. In this study, we fou [...]
One of the factors that can be used to estimate the earthquake hazard to a building is knowing th... more One of the factors that can be used to estimate the earthquake hazard to a building is knowing the resonance value of the building. The resonance value of the building can be determined by performing microtremor measurements to obtain the natural frequency value of the building and the ground and then it be calculated to get resonance value between the building and the ground beneath it. Microtremor measurements were performed on four buildings at State Collage of Meteorology Climatology and Geophysics (STMKG). The investigated buildings have varying in height between 2 to 3 floors. Which consists of B1, B2, B3, and B4 buildings. It be measured on the different parts of the building structure (corners and center of the structures). The research was conducted to find out the resonance characteristic between the ground and the building. The equipment consist of a set of Lennartz Mark 3D seismometer with the duration of recording for 1 hour. HVSR (Horizontal to Vertical Spectral Ratio)...
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