Developing Vs-NSPT Prediction Models Using Bayesian Framework

Al-Jeznawi, Duaa; Sadik, Laith; Al-Janabi, Musab A. Q.; Alzabeebee, Saif; Hajjat, Jumanah; Keawsawasvong, Suraparb

doi:10.1007/s40515-023-00353-8

Cited by 5 publications

(2 citation statements)

References 30 publications

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“…N SPT -based empirical correlations, specifically, establish relationships between the SPT results and V s . These empirical correlations are developed through statistical analysis, allowing engineers to estimate V s based on N SPT values, often using data collected at various depths in a soil profile [82]. N SPT consistently exhibits the strongest correlation with the V s when compared to other variables.…”

Section: S -N Spt Correlationsmentioning

confidence: 99%

“…Nejad et al, in 2017 [144], demonstrated that the restrictions on the depth to which shear waves can propagate in N SPT testing, often dictated by the rod's length, might require the adoption of more advanced geophysical techniques to obtain deeper V s information, which can potentially introduce errors during the transition from N SPT to these methods. Al-Jeznawi et al, in 2023 [82], highlighted that site-specific geological factors, such as the presence of unconsolidated sediments, bedrock, or faults, can create complex subsurface conditions that make it challenging to assess V s accurately through N SPT testing. Furthermore, variability in data inversion techniques for N SPT data to derive V s profiles can affect the quality of the results, with errors potentially arising from inappropriate model assumptions or insufficient data processing [145].…”

Section: Sources Of Error In N Spt -Based Vs Predictionsmentioning

confidence: 99%

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Exploring Shear Wave Velocity—NSPT Correlations for Geotechnical Site Characterization: A Review

Abbas,

Al-Jeznawi,

Al-Janabi

et al. 2024

CivilEng

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Shear wave velocity (Vs) is a critical parameter in geophysical investigations, micro-zonation research, and site classification. In instances where conducting direct tests at specific locations is challenging due to equipment unavailability, limited space, or initial instrumentation costs, it becomes essential to estimate Vs directly, using empirical correlations for effective site characterization. The present review paper explores the correlations of Vs with the standard penetration test (SPT) for geotechnical site characterization. Vs, a critical parameter in geotechnical and seismic engineering, is integral to a wide range of projects, including foundation design and seismic hazard assessment. The current paper provides a detailed analysis of the key findings, implications for geotechnical engineering practice, and future research needs in this area. It emphasizes the importance of site-specific calibration, the impact of geological background, depth-dependent behavior, data quality control, and the integration of Vs data with other geophysical methods. The review underlines the continuous monitoring of Vs values due to potential changes over time. Addressing these insights and gaps in research contributes to the accuracy and safety of geotechnical projects, particularly in seismic-prone regions.

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Section: S -N Spt Correlationsmentioning

confidence: 99%

Section: Sources Of Error In N Spt -Based Vs Predictionsmentioning

confidence: 99%