Influence of data acquisition and signal preprocessing parameters on the resolution of dispersion image from active MASW survey

Taipodia, Jumrik; Dey, Arindam; Baglari, Dipjyoti

doi:10.1088/1742-2140/aaaf4c

Cited by 13 publications

(3 citation statements)

References 23 publications

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“…The characteristics of peat soil including the high void ratio and low stiffness also causes slower wave travel time causing the needs of longer sampling time. Generally, the stiffer stratum allows faster wave propagation compared to that of softer stratum [31]. As for the other sampling interval where sufficient recording time was achieved, no significant changes in dispersion image resolution was observed.…”

Section: Sampling Intervalmentioning

confidence: 92%

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The Optimum Field Configuration for Active MASW Survey on Peat Soil

Basri¹,

Zainorabidin²,

Talib³

et al. 2020

IJIE

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The application of the MASW method on engineering investigation required optimization of the field configuration to ensure high quality dispersion image for reasonable shear wave velocity profile estimation. The limited investigation with respect to peat soil condition has motivated the study to determine the optimum field configuration for peat soil. The challenging characteristics of peat soil including high void ratio, compressibility, water content and low shear strength further complicates the determination of optimum field configurations. The study focused on the determination of optimum field configurations for active MASW method which includes the receiver spacing, source offset, sensor frequency and sampling interval. The results obtained shows that, the optimum receiver spacing to obtain high signal to noise ratio dispersion image was 1 meter. Smaller receiver spacing causes domination of higher modes and wide bandwidth, while longer receiver spacing causes significant drop in signal to noise ratio governed by rapid energy dissipation with distance. For the source offset, the distance of half the total spread length (X1 = L/2) provides the best resolution and minimised near-field and far-field effect. While, 4.5 Hz sensor frequency and sampling interval between 100 to 250 s provides sufficient low frequencies for deeper depth investigation and denser data. Overall, the influence of receiver spacing, source offset and sensor frequency on the dispersion image resolution was significant.

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Section: Sampling Intervalmentioning

confidence: 92%

“…Sufficient recording time is important to ensure complete shot gathers recorded. According to Taipodia et al [31], the sampling time is site dependant and high sampling frequency is recommended. Fig.…”

Section: Sampling Intervalmentioning

confidence: 99%

The Optimum Field Configuration for Active MASW Survey on Peat Soil

Basri¹,

Zainorabidin²,

Talib³

et al. 2020

IJIE

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“…In general, seismic velocity increases with depth, the shorter wavelengths propagate slower than the longer wavelengths, so the frequency content of the wave disperses with the transit time so, the dispersion curve is a relationship between the phase velocities of seismic waves with the corresponding frequencies. During data processing, the MASW approach does not aim to identify the individual dispersion curves but attempts to construct an overall image space where trends can be identified [16], [17]. In this study, the MASW raw data were analyzed and processed by using SeisImager/SW modules.…”

Section: A Seismic Refraction Datamentioning

confidence: 99%

Estimation of Geodynamic Properties using Seismic Techniques at a Steel Rolling Factory, Northwestern Gulf of Suez, Egypt

A.Mesbah,

Salama,

Albarqawy

et al. 2020

IJRTE

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The objective of the current investigations is to estimate the dynamic geotechnical properties necessary for evaluating the conditions of the subsurface in order to make better decisions for economic and safe designs of the proposed structures at a Steel Rolling Factory, Ataqa Industrial Area, Northwestern Gulf of Suez, Egypt. To achieve this purpose, four seismic refraction profiles were conducted to measure the velocity of primary seismic waves (P-waves) and four profiles were conducted using Multichannel Analysis of Surface Waves (MASW) technique in the same locations of refraction profiles to measure the velocity of shear waves (S-waves). SeisImager/2D Software Package was used in the analysis of the measured data. Data processing and interpretation reflect that the subsurface section in the study area consists of two layers, the first layer is a thin surface layer ranges in thickness from 1 to 4 meters with P-wave velocity ranges from 924 m/s to 1247 m/s and S-wave velocity ranges from 530 m/s to 745 m/s. The second layer has a P-wave velocity ranges from 1277 m/s to 1573 m/s and the S-wave velocity ranges from 684 m/s to 853 m/s. Geotechnical parameters were calculated for both layers. Since elastic moduli such as Poisson’s ratio, shear modulus, Young’s modulus, and bulk’s modulus were calculated. Competence scales such as material index, stress ratio, concentration index, and density gradient were calculated also. In addition, the ultimate and allowable bearing capacities

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Dynamic Characterization of Soils Using Various Methods for Seismic Site Response Studies

Dammala

Krishna

2019

Developments in Geotechnical Engineering

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Influence of data acquisition and signal preprocessing parameters on the resolution of dispersion image from active MASW survey

Cited by 13 publications

References 23 publications

The Optimum Field Configuration for Active MASW Survey on Peat Soil

The Optimum Field Configuration for Active MASW Survey on Peat Soil

Estimation of Geodynamic Properties using Seismic Techniques at a Steel Rolling Factory, Northwestern Gulf of Suez, Egypt

Dynamic Characterization of Soils Using Various Methods for Seismic Site Response Studies

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