Site Classification using Multichannel Channel Analysis of Surface Wave (MASW) method on Soft and Hard Ground

Ashraf, Muhammad; Kumar, N. S.; Yusoh, Rais; Hazreek, Z A M; Madun, Aziman

doi:10.1088/1742-6596/995/1/012108

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…Recent research and practical applications demonstrate the effectiveness of the method in accurately determining the distribution of shear wave velocity (Vs30) in both soil and rock (Ashraf et al, 2018). Additionally, it proves useful in estimating the Layout for MASW survey at field and geometry of MASW profile for data processing.…”

Section: Methodsmentioning

confidence: 99%

Estimating shear wave velocity and site characterization of western Riyadh City, Saudi Arabia based on multichannel analysis of surface waves

Abdelrahman,

Saadon,

Qaysi

2024

Front. Earth Sci.

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The site characterization process is vital for the engineering structures and earthworks. In the current study, a Multi-Channel Analysis of Surface Waves (MASW) was carried out in western Riyadh City, Saudi Arabia. This aimed to determine subsurface geology, material stiffness, and potential weak zones approximately down to a depth of 30 m, and to propose the suitable seismic site characterization for precise foundation design. A total of 30 MASW lines were executed utilizing the Geode digital seismograph equipped with a 24-geophone array of 4.5 Hz. The data acquisition, processing, and inversion were meticulously calibrated to derive shear velocities representing subsurface geological conditions. The Vs30 map, based on estimated values ranging from 443.71 m/s to 639.78 m/s for soil, was prepared for the area. The results of the 1D and 2D Vs profiles tinted small Vs values at shallow depths. The resulting geological model is composed of sand, gravel, moderately weathered limestone, and hard limestone sequence. Analysis of shear wave velocities shows variations, indicating low shear velocity (representing sediments or rocks of low stiffness) juxtaposed with higher velocity layers (indicating rocks of higher stiffness) at depths greater than 10 m. This could imply the presence of a cavity or weak zone. The topmost shear wave velocity zone indicated materials with low Vs values (ranging from 180 m/s to 360 m/s), predominantly associated with stiff materials such as silty sand, gravel, and sandy deposits. The subsequent zone, with 3 to about 10 m depth, was characterized by medium to very dense soil with shear wave velocity values ranging from 360 m/s to 760 m/s, attributed to layers of silty clay and silty sand. At approximately 12 m, a high shear velocity layer (ranging from 760 m/s to 1,500 m/s) was identified, extending to a maximum depth of 22 m, potentially indicative of less weathered or fractured bedrock associated with limestone. While the deepest layer, with very high shear velocity (exceeding 1,500 m/s) beyond 22 m, indicated bedrock associated with hard limestone. The average Shear-wave velocity of soil for the whole study area (Vs30 = 551.2 m/s) suggests that the site can be classified as Class C (Very Dense Soil and Soft Rock) according to the National Earthquake Hazard Reeducation Program NEHRP (National earthquake hazards reduction program, 2001). These results will support, to a great extent, the design of engineering structures in the area of study.

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Section: Methodsmentioning

confidence: 99%

Estimating shear wave velocity and site characterization of western Riyadh City, Saudi Arabia based on multichannel analysis of surface waves

Abdelrahman,

Saadon,

Qaysi

2024

Front. Earth Sci.

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“…With the goal of producing the velocity of the shear wave profile, you will first need to pick the dispersion curve, then create the initial launching model, and then execute the inversion method. Recent studies and applications have efficiently used this method to calculate shear wave velocity (Vs30) distributions in soils and rocks [49] and correspondingly near-surface geological sites. In addition, it has been shown that the class can be estimated.…”

Section: Active and Passive Seismicmentioning

confidence: 99%

The Combination of Hvsr and Masw Methods with Landsat 8 Imagery to Assess the Changing Shoreline along the Coastal Area of Central Bengkulu

Farid,

Hadi,

Refrizon

et al. 2024

Trends Sci

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The Central Bengkulu Regency possesses a coastline measuring 21.8 km, situated in direct proximity to the Indian Ocean. The heightened wave and ocean current dynamics possess the capacity to induce detrimental effects in the form of coastal abrasion along the coastline. This study conducted an examination of the rate of shoreline changes resulting from coastal abrasion in Central Bengkulu Regency, Bengkulu, Indonesia. Horizontal-to-vertical spectral ratio (HVSR) analysis, multichannel analysis of surface waves (MASW), and Landsat-8 remote sensing were all used in the current investigation. The project gets started with conducting field investigations and measurements of geophysical techniques, including the collection of Landsat-8 satellite imagery spanning the period from 1990 to 2020. Additionally, an examination was conducted on the rate at which the shoreline undergoes changes in velocity. In order to determine the increase in change that occurs along coastlines over a period of several decades, a study was carried out during which Landsat-8 satellite images were analyzed. This study investigates the application of the HVSR technique for assessing the seismic vulnerability of the ground and, additionally, the MASW technique for measuring the shear wave velocity of the coastline’s soil. Both of these methodologies are compared and contrasted with one another in this research. The findings indicated that the mean pace of coastline change in Central Bengkulu Regency was 1.5 m/yr, with the maximum velocity recorded at 4.1 m/yr. This high velocity of shoreline change is correlated with the Vs30 value of MASW measurement and Kg of HVSR measurement, where the subsurface soil structure along the coast of Central Bengkulu Regency from Vs30 measurement shows that it is dominated by stiff soil structure that is susceptible to erosion. Outcomes from the study can inform decision-making processes about safeguards and preventative measures to prevent further coastal degradation. HIGHLIGHTS In this paper, we present a framework using application passive and active seismic method with Landsat 8 for knowing the changing of shoreline coastal area in Central Bengkulu Indonesia This study demonstrated that the high velocity of the shifting shoreline is correlated with Vs30 and Kg values The subsurface soil structure is predominantly composed of stiff soil, and the changing shoreline starts at 1.5 mm/yr, which makes the coast of Central Bengkulu vulnerable to erosion GRAPHICAL ABSTRACT

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“…Field surveys can quickly provide both primary and shear wave velocities (Vp and Vs), respectively. At the time they are measured, shear modulus, young's modulus, bulk modulus, and the Poisson ratio can be calculated from equations (1)(2)(3)(4)(5)(6)(7)(8)(9)(10). The formulae will aid in determining the acceptable bearing capacity and stiffness of the subsurface materials (Adewoyin et al, 2017).…”

Section: Soil Dynamic Propertiesmentioning

confidence: 99%

“…5.358 to 15.599 GPa for the third layer. In contrast to Poisson's ratio, Young's modulus increased with depth.…”

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confidence: 99%

Dynamic Soil Properties for Construction Site Investigation Using Geophysical Methods

Bello

Muztaza

Zakaria

et al. 2023

Preprint

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Geophysical approaches are used for site characterization to determine the dynamic behaviour of soil. Structures built on a site without sufficient assessment are prone to collapse or failure. Thus, before beginning any building activity, it is critical to assess the soil dynamic qualities. This is significant because buildings are constructed on top of the ground surface, supported by the underlying soil and rock. This work aimed to determine a competent layer for building foundations. This study was conducted to evaluate the dynamic soil behaviour of Paya Terubong on Penang Island. Resistivity, Young's modulus, shear modulus, Poisson's ratio, bulk modulus, bulk density, rippability, and material bearing capacity are among the parameters utilised for the characterization. This will be obtained from the electrical resistivity, seismic refraction, and MASW methods. Three layers were detected by these methods. Results from the study indicate that the area is mostly composed of highly dense silty sand and granitic bedrock, which makes it competent for foundation construction since higher compaction raises the ultimate and allowable bearing capacities of the third layer to very high levels. In addition, soil and rock layers identified using geophysical methods match well with the borehole data showing that material stiffness increases with depth. Rippable layers extend from the ground surface to a depth of 3 meters. The calculated values gotten from the soil dynamic properties and material bearing capacity show that the second and third layers have good geotechnical qualities. The ultimate bearing capacities calculated for the first layer range from 453 to 731 kPa, while the second layer capacities range from 1041 to 1691 kPa, and capacities for the third layer range from 2013 to 3650 kPa. For setting up structures, the second layer can support building foundations at a depth of 4 meters from the existing ground level. This approach is cost-effective, saves time, and is non-destructive for site characterization.

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Site Classification using Multichannel Channel Analysis of Surface Wave (MASW) method on Soft and Hard Ground

Cited by 5 publications

References 7 publications

Estimating shear wave velocity and site characterization of western Riyadh City, Saudi Arabia based on multichannel analysis of surface waves

Estimating shear wave velocity and site characterization of western Riyadh City, Saudi Arabia based on multichannel analysis of surface waves

The Combination of Hvsr and Masw Methods with Landsat 8 Imagery to Assess the Changing Shoreline along the Coastal Area of Central Bengkulu

Dynamic Soil Properties for Construction Site Investigation Using Geophysical Methods

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