Quantitative estimation of minimum offset for multichannel surface-wave survey with actively exciting source

Xu, Yixian; Xia, Jianghai; Miller, Richard D.

doi:10.1016/j.jappgeo.2005.08.002

Cited by 125 publications

(38 citation statements)

References 29 publications

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“…These source distances have helped to record good signals in very soft, soft and hard soils. These are in conformity with the original recommendations of PARK et al, (2002) andXU et al, (2006). Typical recorded surface wave arrivals using source to first receiver distance as 5 m with a recording length of 1000 ms are shown in Figure 2.…”

Section: Experimental Studiessupporting

confidence: 86%

Spatial Variability of the Depth of Weathered and Engineering Bedrock using Multichannel Analysis of Surface Wave Method

Anbazhagan

Sitharam

2009

Pure appl. geophys.

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In this paper an attempt has been made to evaluate the spatial variability of the depth of weathered and engineering bedrock in Bangalore, south India using Multichannel Analysis of Surface Wave (MASW) survey. One-dimensional MASW survey has been carried out at 58 locations and shear-wave velocities are measured. Using velocity profiles, the depth of weathered rock and engineering rock surface levels has been determined. Based on the literature, shear-wave velocity of 330 ± 30 m/s for weathered rock or soft rock and 760 ± 60 m/s for engineering rock or hard rock has been considered. Depths corresponding to these velocity ranges are evaluated with respect to ground contour levels and top surface levels have been mapped with an interpolation technique using natural neighborhood. The depth of weathered rock varies from 1 m to about 21 m. In 58 testing locations, only 42 locations reached the depths which have a shear-wave velocity of more than 760 ± 60 m/s. The depth of engineering rock is evaluated from these data and it varies from 1 m to about 50 m. Further, these rock depths have been compared with a subsurface profile obtained from a twodimensional (2-D) MASW survey at 20 locations and a few selected available bore logs from the deep geotechnical boreholes.

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Section: Experimental Studiessupporting

confidence: 86%

Spatial Variability of the Depth of Weathered and Engineering Bedrock using Multichannel Analysis of Surface Wave Method

Anbazhagan

Sitharam

2009

Pure appl. geophys.

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“…Errors in S-wave velocities obtained using the MASW method are 15% or less and random when compared with direct borehole measurements (XIA et al, 2002a). Other studies include repeatability of MASW (BEATY and SCHMITT, 2003), delineation of bedrock , near-surface quality factors (Q) (XIA et al, 2002b), a pitfall using shear-wave refraction surveying (XIA et al, 2002c), detection of voids (XIA et al, 2004(XIA et al, , 2007a, the MASW method using a fast and efficient method for geophone deployment-autojuggie (STEEPLES et al, 1999;TIAN et al, 2003a b), a unified workflow for geotechnical and engineering seismology (YILMAZ et al, 2006), discussion of MASW dispersion characteristics (LIN and CHANG, 2004), optimized selection of fielddata-acquisition parameters (XU et al, 2006, XIA et al, 2006a in press), estimation of S-wave velocities for a continuous earth model (XIA et al, 2006b), generation of a dispersion image using slant stacking (XIA et al, 2007b) and a s-p transform (LUO et al, 2008b), generation of a pseudo-2D shear-wave velocity section by inversion of a series of 1D dispersion curves (LUO et al, 2008a), numerical modeling of surface waves , discussion of surface-wave inversion with a high-velocity-layer intrusion model (CALDERóN-MACíAS and LUKE, 2007), and a lowvelocity-layer intrusion model (LU et al, 2007;LIANG et al, 2008). Dispersions of ground-penetrating radar data were also inverted for the subsurface material properties (KRUK et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Data-resolution Matrix and Model-resolution Matrix for Rayleigh-wave Inversion Using a Damped Least-squares Method

Xia

Miller²,

Xu³

2008

Pure appl. geophys.

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Inversion of multimode surface-wave data is of increasing interest in the near-surface geophysics community. For a given near-surface geophysical problem, it is essential to understand how well the data, calculated according to a layered-earth model, might match the observed data. A data-resolution matrix is a function of the data kernel (determined by a geophysical model and a priori information applied to the problem), not the data. A data-resolution matrix of high-frequency (C2 Hz) Rayleigh-wave phase velocities, therefore, offers a quantitative tool for designing field surveys and predicting the match between calculated and observed data. We employed a data-resolution matrix to select data that would be well predicted and we find that there are advantages of incorporating higher modes in inversion. The resulting discussion using the data-resolution matrix provides insight into the process of inverting Rayleigh-wave phase velocities with higher-mode data to estimate S-wave velocity structure. Discussion also suggested that each near-surface geophysical target can only be resolved using Rayleigh-wave phase velocities within specific frequency ranges, and higher-mode data are normally more accurately predicted than fundamental-mode data because of restrictions on the data kernel for the inversion system. We used synthetic and real-world examples to demonstrate that selected data with the data-resolution matrix can provide better inversion results and to explain with the data-resolution matrix why incorporating higher-mode data in inversion can provide better results. We also calculated model-resolution matrices in these examples to show the potential of increasing model resolution with selected surface-wave data.

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“…The SASW method used two receiver geophones (Nazarian et al 1983(Nazarian et al , 1992Stokoe et al 1994;Ganji et al 1997), whereas MASW used 24 geophones. Both MASW and SASW methods are non-destructive and low strain method, however MASW is an advanced technique (Park & Elrick 1998;Park et al , 2002Xia et al 1999;Zhang et al 2004;Xu et al 2006) to obtain Vs profiles more accurately and less time-consuming method. Most of the time to cover larger area is practically difficult to measure Vs in the field.…”

Section: Site Classmentioning

confidence: 99%

Site specific design response spectrum proposed for the capital city of Agartala, Tripura

Sil

Sitharam

2015

Geomatics, Natural Hazards and Risk

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The design response spectrum is smooth in shape compared to other response spectra. The objective of design spectra is to estimate the possible earthquake lateral loads which may experience on a particular structure during its design life. In this study, an attempt has been made to develop, design response spectra for the Agartala city, Tripura which is one of the North Eastern states in India considered at the highest level of seismic activity in the country having a zone factor 0.36g as per Indian seismic code (BIS 1893(BIS -2002. Based on the present data set collected from 1731-2011, the region is characterized and the seismicity parameters estimated separately for each source zone by Gutenberg and Richter (G-R) relationship. The two ground motion models were used for the hazard prediction. However, hazard curve, and uniform hazard response spectra (UHRS) (2% and 10% probability level for 50 years) has been developed for the Agartala at seismic bedrock level condition. Further, the NEHRP (National Earthquake Hazards Reduction Program) site classes D and E-types have been identified based on the average shear wave velocity at an upper 30 m depth of the subsurface soil profile. The direct shear wave velocity profiles were obtained through multi channel analysis of surface wave tests conducted at 27 locations at Agartala city. The design response spectra have been developed at the surface level for both the site classes. The results could be used as direct inputs for earthquake resistant design of civil engineering infrastructures of the study area.

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Quantitative estimation of minimum offset for multichannel surface-wave survey with actively exciting source

Cited by 125 publications

References 29 publications

Spatial Variability of the Depth of Weathered and Engineering Bedrock using Multichannel Analysis of Surface Wave Method

Spatial Variability of the Depth of Weathered and Engineering Bedrock using Multichannel Analysis of Surface Wave Method

Data-resolution Matrix and Model-resolution Matrix for Rayleigh-wave Inversion Using a Damped Least-squares Method

Site specific design response spectrum proposed for the capital city of Agartala, Tripura

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