Guidelines for Minimization of Uncertainties and Estimation of a Reliable Shear Wave Velocity Profile Using MASW Testing: A State-of-the-Art Review

Jakka, Ravi S.; Desai, Aniket; Foti, Sebastiano

doi:10.1007/978-981-19-3330-1_12

Cited by 6 publications

(1 citation statement)

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“…So, the number of layers was 10, which is a good trade-off between vertical resolution and stability for many sites (Ivanov and Feigenbaum 2017). The range of the layer thickness for each layer was selected based on the available maximum and minimum wavelengths from the dispersion curve and the recommendations by Jakka et al (2023). As the inversion algorithm can choose any thickness based on the wide range suggested, it is required to provide a wide range of Vs so that the algorithm can take the best-fitted value.…”

Section: Inversion To Generate Vs Profilesmentioning

confidence: 99%

Use of a-priori information to minimize uncertainties in surface wave inversion and subsequent site response analysis

Desai

Jakka

Foti

2022

Preprint

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Multi-channel analysis of surface waves (MASW) is the most popular method to estimate the shear wave velocity (Vs) profile of soil and subsequently, the seismic site response. Nevertheless, the inversion process to retrieve the Vs profile from MASW testing is inherently ill-posed and non-unique, inducing considerable uncertainties in the results. Also, using nonlinearity curves without knowing the soil type leads to further uncertainties in site response analysis (SRA) results. Despite several efforts by researchers, the uncertainties in MASW testing and subsequent SRA still remain a matter of obvious concern in earthquake engineering. In this study, an attempt has been made to investigate how these uncertainties can be tackled by utilizing a-priori information from geotechnical investigations. The type of a-priori information used in this work is the number and thickness of soil layers, soil type, and index properties. Initially, a numerical study was carried out using simulations of MASW and SRA for nine possible types of idealized Vs profiles using three different types of earthquake motions. Then, a field MASW test, borehole drilling, sampling and SRA were carried out at a site in Roorkee, India. Statistical properties of the results without and with a-priori information were determined and compared. It was found that for any type of Vs profile or seismic motion, the use of a-priori information significantly mitigates the inversion uncertainty in MASW and SRA, thereby remarkably enhancing the reliability and accuracy of the MASW and SRA results. This work also provides a quantitative assessment of the uncertainty reduction using a-priori information for different possible site and earthquake scenarios, which would help understand the need for a-priori information with MASW testing.

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Section: Inversion To Generate Vs Profilesmentioning

confidence: 99%