Tool for analysis of multichannel analysis of surface waves (MASW) field data and evaluation of shear wave velocity profiles of soils

Olafsdottir, Elin Asta; Erlingsson, Sigurður; Bessason, Bjarni

doi:10.1139/cgj-2016-0302

Cited by 60 publications

(28 citation statements)

References 45 publications

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“…We read with interest the work presented on the new opensource software, MASWaves, for processing and analysing multichannel surface wave records using the MASW method (Olafsdottir et al 2018). We agree with the authors that the determination of the experimental dispersion curve is a very critical stage in using such a tool to obtain the shear wave velocity profile.…”

Section: Ph Loo and Ec Leongmentioning

confidence: 54%

Discussion of “Tool for analysis of multichannel analysis of surface waves (MASW) field data and evaluation of shear wave velocity profiles of soils”

Loo

Leong

2018

Can. Geotech. J.

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Section: Ph Loo and Ec Leongmentioning

confidence: 54%

Discussion of “Tool for analysis of multichannel analysis of surface waves (MASW) field data and evaluation of shear wave velocity profiles of soils”

Loo

Leong

2018

Can. Geotech. J.

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“…Multichannel analysis of surface waves (MASW) is an indirect geophysical method used to determine shear wave velocity of geomaterials (soil and rock) (Park et al 1999;Elin et al 2017). MASW uses active and passive source to generate seismic wave and map weathered and engineering bed rock (Enke et al 2008;Anbazhagan and Sitharam 2008).…”

Section: Multichannel Analysis Of Surface Waves (Masw)mentioning

confidence: 99%

“…MASW uses active and passive source to generate seismic wave and map weathered and engineering bed rock (Enke et al 2008;Anbazhagan and Sitharam 2008). It measures surface (Raleigh waves) to generate shear wave velocity profile of dispersion curve by inversion (Park et al 1999;Elin et al 2017). In addition to that, average shear wave velocity (Vs 30 ) is prepared from shear wave velocity profile to determine the site classes according to Eurocode-8 (2003), NEHRP (BSSC 2015b), International Building Code (IBC 2009), Ministry of Construction 2015 and NEHRP (BSSC 2015a, Dobry et al 2000Kanli et al 2006).…”

Section: Multichannel Analysis Of Surface Waves (Masw)mentioning

confidence: 99%

A review on the multi-criteria seismic hazard analysis of Ethiopia: with implications of infrastructural development

Ayele

Woldearegay

Meten

2021

Geoenviron Disasters

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Earthquake is a sudden release of energy due to faults. Natural calamities like earthquakes can neither be predicted nor prevented. However, the severity of the damages can be minimized by development of proper infrastructure which includes microzonation studies, appropriate construction procedures and earthquake resistant designs. The earthquake damaging effect depends on the source, path and site conditions. The earthquake ground motion is affected by topography (slope, hill, valley, canyon, ridge and basin effects), groundwater and surface hydrology. The seismic hazard damages are ground shaking, structural damage, retaining structure failures and lifeline hazards. The medium to large earthquake magnitude (< 6) reported in Ethiopia are controlled by the main Ethiopian rift System. The spatial and temporal variation of earthquake ground motion should be addressed using the following systematic methodology. The general approaches used to analyze damage of earthquake ground motions are probabilistic seismic hazard assessment (PSHA), deterministic seismic hazard assessment (DSHA) and dynamic site response analysis. PSHA considers all the scenarios of magnitude, distance and site conditions to estimate the intensity of ground motion distribution. Conversely, DSHA taken into account the worst case scenarios or maximum credible earthquake to estimate the intensity of seismic ground motion distribution. Furthermore, to design critical infrastructures, DSHA is more valuable than PSHA. The DSHA and PSHA ground motion distributions are estimated as a function of earthquake magnitude and distance using ground motion prediction equations (GMPEs) at top of the bedrock. Site response analysis performed to estimate the ground motion distributions at ground surface using dynamic properties of the soils such as shear wave velocity, density, modulus reduction, and material damping curves. Seismic hazard evaluation of Ethiopia shown that (i) amplification is occurred in the main Ethiopian Rift due to thick soil, (ii) the probability of earthquake recurrence due to active fault sources. The situation of active fault is oriented in the N-S direction. Ethiopia is involved in huge infrastructural development (including roads, industrial parks and railways), increasing population and agricultural activity in the main Ethiopian Rift system. In this activity, socio-economic development, earthquake and earthquake-generated ground failures need to be given attention in order to reduce losses from seismic hazards and create safe geo-environment.

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“…The corresponding dispersion images are shown in Figure 18c,d. The dispersion analysis tool of MASWaves [38] was used for processing the acquired time series and identifying the fundamental mode of Rayleigh wave propagation. The fundamental mode dispersion curve estimates that were identified from the repeated shots, are compared in Figure 18e.…”

Section: Field Data Inversionmentioning

confidence: 99%

Open-Source MASW Inversion Tool Aimed at Shear Wave Velocity Profiling for Soil Site Explorations

2020

Self Cite

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The shear wave velocity profile is of primary interest for geological characterization of soil sites and elucidation of near-surface structures. Multichannel Analysis of Surface Waves (MASW) is a seismic exploration method for determination of near-surface shear wave velocity profiles by analyzing Rayleigh wave propagation over a wide range of wavelengths. The inverse problem faced during the application of MASW involves finding one or more layered soil models whose theoretical dispersion curves match the observed dispersion characteristics. A set of open-source MATLAB-based tools for acquiring and analyzing MASW field data, MASWaves, has been under development in recent years. In this paper, a new tool, using an efficient Monte Carlo search technique, is introduced to conduct the inversion analysis in order to provide the shear wave velocity profile. The performance and applicability of the inversion scheme is demonstrated with synthetic datasets and field data acquired at a well-characterized geotechnical research site.

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Tool for analysis of multichannel analysis of surface waves (MASW) field data and evaluation of shear wave velocity profiles of soils

Cited by 60 publications

References 45 publications

Discussion of “Tool for analysis of multichannel analysis of surface waves (MASW) field data and evaluation of shear wave velocity profiles of soils”

Discussion of “Tool for analysis of multichannel analysis of surface waves (MASW) field data and evaluation of shear wave velocity profiles of soils”

A review on the multi-criteria seismic hazard analysis of Ethiopia: with implications of infrastructural development

Open-Source MASW Inversion Tool Aimed at Shear Wave Velocity Profiling for Soil Site Explorations

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