Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Near-surface characterization and delineation of 2-D shear wave velocity profile from geologically complex landscape of Kangra Valley, NW Himalaya, India
https://orcid.org/0000-0002-0083-0915
Abstract The geotechnical characterization for delineating stiffness parameters is important to aid safe engineering foundations. The Multichannel Analysis of Surface Waves (MASW) was utilized to estimate shear wave velocity (Vs) profile and near-surface material characterization. The initial reconnaissance surveys allow optimization of acquisition parameters for seismic data recording that controls signal penetration and attenuation. The gathering of multiple records with several receivers in the surface-wave inversion technique progressively enhanced the dynamic characterization of the sediments. The 2-D genetic algorithm was used for the inversion of dispersion curve. The seismic data was processed to prepare multiple 1-D and 2-D share wave velocity (Vs) profiles. The depth of exploration in 2-D profiling varied from 25 to 52 m. The average Vs of the top 30 m soil column was used to classify the site as per National Earthquake Hazards Reduction Program (NEHRP) classification. The analysis reveals the majority of sites come under soil class D ($ Vs_{30} $ = 180–360 m/s) and class C ($ Vs_{30} $ = 360–760 m/s). The response analysis performed for different sites reveals variation in spectral acceleration at 10 Hz (single-story buildings) ranging from 0.09 to 0.5 g and at 5 Hz (double-story buildings) ranging from 0.13 to 1.7 g. The present study also discusses the variation of stiffness parameters across the study region to understand the subsurface heterogeneities and allowable bearing capacity for a safe engineering foundation for constructing earthquake-resilient in the area.
Near-surface characterization and delineation of 2-D shear wave velocity profile from geologically complex landscape of Kangra Valley, NW Himalaya, India
https://orcid.org/0000-0002-0083-0915
Abstract The geotechnical characterization for delineating stiffness parameters is important to aid safe engineering foundations. The Multichannel Analysis of Surface Waves (MASW) was utilized to estimate shear wave velocity (Vs) profile and near-surface material characterization. The initial reconnaissance surveys allow optimization of acquisition parameters for seismic data recording that controls signal penetration and attenuation. The gathering of multiple records with several receivers in the surface-wave inversion technique progressively enhanced the dynamic characterization of the sediments. The 2-D genetic algorithm was used for the inversion of dispersion curve. The seismic data was processed to prepare multiple 1-D and 2-D share wave velocity (Vs) profiles. The depth of exploration in 2-D profiling varied from 25 to 52 m. The average Vs of the top 30 m soil column was used to classify the site as per National Earthquake Hazards Reduction Program (NEHRP) classification. The analysis reveals the majority of sites come under soil class D ($ Vs_{30} $ = 180–360 m/s) and class C ($ Vs_{30} $ = 360–760 m/s). The response analysis performed for different sites reveals variation in spectral acceleration at 10 Hz (single-story buildings) ranging from 0.09 to 0.5 g and at 5 Hz (double-story buildings) ranging from 0.13 to 1.7 g. The present study also discusses the variation of stiffness parameters across the study region to understand the subsurface heterogeneities and allowable bearing capacity for a safe engineering foundation for constructing earthquake-resilient in the area.
Near-surface characterization and delineation of 2-D shear wave velocity profile from geologically complex landscape of Kangra Valley, NW Himalaya, India
https://orcid.org/0000-0002-0083-0915
Abstract The geotechnical characterization for delineating stiffness parameters is important to aid safe engineering foundations. The Multichannel Analysis of Surface Waves (MASW) was utilized to estimate shear wave velocity (Vs) profile and near-surface material characterization. The initial reconnaissance surveys allow optimization of acquisition parameters for seismic data recording that controls signal penetration and attenuation. The gathering of multiple records with several receivers in the surface-wave inversion technique progressively enhanced the dynamic characterization of the sediments. The 2-D genetic algorithm was used for the inversion of dispersion curve. The seismic data was processed to prepare multiple 1-D and 2-D share wave velocity (Vs) profiles. The depth of exploration in 2-D profiling varied from 25 to 52 m. The average Vs of the top 30 m soil column was used to classify the site as per National Earthquake Hazards Reduction Program (NEHRP) classification. The analysis reveals the majority of sites come under soil class D ($ Vs_{30} $ = 180–360 m/s) and class C ($ Vs_{30} $ = 360–760 m/s). The response analysis performed for different sites reveals variation in spectral acceleration at 10 Hz (single-story buildings) ranging from 0.09 to 0.5 g and at 5 Hz (double-story buildings) ranging from 0.13 to 1.7 g. The present study also discusses the variation of stiffness parameters across the study region to understand the subsurface heterogeneities and allowable bearing capacity for a safe engineering foundation for constructing earthquake-resilient in the area.
Near-surface characterization and delineation of 2-D shear wave velocity profile from geologically complex landscape of Kangra Valley, NW Himalaya, India
Mahajan, Ambrish Kumar (Autor:in) / Kumar, Praveen (Autor:in)
2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
BKL:
56.00$jBauwesen: Allgemeines
/
38.58
Geomechanik
/
38.58$jGeomechanik
/
56.20
Ingenieurgeologie, Bodenmechanik
/
56.00
Bauwesen: Allgemeines
/
56.20$jIngenieurgeologie$jBodenmechanik
RVK:
ELIB18
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