Comparison of Shear Wave Velocity Prediction Models to Yangtze River Deltaic Sediments Based on Piezocone Test Data

Tong, Liyuan; Che, Hongbo; Pan, Huangsong; Zhang, Mingfei; Guo, Qiwen

doi:10.1007/s40999-019-00408-3

Cited by 5 publications

(5 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The field measured values for the N in both boreholes 1 and 2 range from 9 to 17. Thus, the bounds on the variation of shear wave velocity with N values to simulate the real field data may be represented by both (6,7).…”

Section: ( )( )mentioning

confidence: 99%

“…8, d-f also displays the depthdependent change in the cyclic strength ratio (CSR) for the soil condition in bore hole 2. The CSR was calculated depending on the upper limit of the shear wave velocity that is given by (7). The results of Figs.…”

Section: ( )( )mentioning

confidence: 99%

“…In addition, the CSR increases by 37 and 40 % as the depth increases from 1 to 8 m and 1 to 10 m respectively. The factor of safety is predicted using both CSR and CRR values depending on the upper limit of the shear wave velocity relationship (7). The results of Figs.…”

Section: ( )( )mentioning

confidence: 99%

“…It is vital to appropriately predict shear wave velocity since the shear velocity in noncohesive soils with strain level less than 0.001 % is important for the examination and design of miscellaneous geotechnical constructions [7]. Shear wave ve locity is a crucial input in finite element systems used for dy namic investigations of structures, the soilstructure interface, and liquefaction potential evaluations.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Liquefaction of industrial zone against earthquake loading using laboratory and field measurements

Raheem

2023

Nauk. visn. nat. hirn. univ.

View full text Add to dashboard Cite

Purpose. To assess the liquefaction of Kirkuk’s industrial region following a series of earthquakes that struck the city during the previous five years based on the current earthquake activity in the region. Methodology. Initially, substantial relationships for shear wave velocity in different types of soil were collected and studied, where the majority of these correlations necessitated the use of standard penetration tests in the field. Indeed, two boreholes were drilled up to a maximum depth of 10 m, and the numbers of blows for conventional penetration tests were measured at various depths in each borehole. The stated shear wave velocity values from the literature, as well as the maximum and lowest shear wave velocity constraints, were employed in a simple technique to estimate the cyclic shear stress induced by earthquake loading. Findings. Based on laboratory and field data, the safety factor against earthquake-induced liquefaction can be determined. When the worst-case scenario was examined using the suggested values of shear wave velocity, the factor of safety against earthquake was reduced by 94 % as the depth increased from 3.5 to 9 m. Originality. No previous study has tried to quantify the liquefaction impact of industrial zone of Kirkuk city as such an important rich-oil area was influenced by series of earthquakes occurrence. More importantly, for the first time field soil samples from on-site boreholes in Kirkuk city have been collected and used for liquefaction assessment since such real field data can be utilized properly in liquefaction evaluation process in the absence of any comparable quantification for the investigated area. Practical value. Precious liquefaction analysis should be performed prior to any proposed project construction in the light of increased earthquake activity in the industrial zone in Kirkuk city (Iraq).

show abstract

Section: ( )( )mentioning

confidence: 99%

Section: ( )( )mentioning

confidence: 99%

Section: ( )( )mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Liquefaction of industrial zone against earthquake loading using laboratory and field measurements

Raheem

2023

Nauk. visn. nat. hirn. univ.

View full text Add to dashboard Cite

show abstract

“…There are two types of shear wave velocity tests: laboratory tests and on-site tests. The former includes resonant column tests, bending element tests, torsional shear tests, and instrumented triaxial tests, while the latter includes tests such as spectral analysis of surface waves (SASW), downhole testing (DHT), and cross-hole testing (CHT) [3]. Laboratory-tested 𝑉 𝑆 , however, is affected by sample disturbances.…”

Section: Introductionmentioning

confidence: 99%

Bayesian probabilistic characterization of the shear-wave velocity combining the cone penetration test and standard penetration test

Zhai,

Du,

2023

Stoch Environ Res Risk Assess

View full text Add to dashboard Cite

The shear wave velocity 𝑉 𝑆 is of interest since it can provide information related to soil smallstrain stiffness characteristics and site classification. However, it is difficult to measure 𝑉 𝑆 directly without special equipment, particularly in smaller and medium-sized projects. Thus, numerous studies are conducted on V-S correlating, and extensive research has demonstrated that cone penetration test (CPT) and standard penetration test (SPT) data have a good relationship with shear wave velocity. Due to the uncertainty of the transformation model, such 𝑉 𝑆 values calculated by the empirical equation are unsatisfactory. The purpose of the present paper is to propose a Bayesian framework for determining the probabilistic characteristics of 𝑉 𝑆 in the context of transformation uncertainty. In addition, the Bayesian framework considers both in situ test data (SPT, CPT) and prior information. Results indicate that the Bayesian framework considering two in-situ tests accurately predicts the shear wave velocity. There are several advantages of using the Bayesian method described in this study. 1. The Bayesian framework incorporates both the inherent uncertainty of the shear wave velocity and the transformation uncertainty.2. Prior information and field data can be combined. 3. In the framework, statistical characteristics of the 𝑉 𝑆 can be ascertained from small samples of field test data.

show abstract

Seismic inversion-based prediction of the elastic parameters of rocks surrounding roadways: a case study from the Shijiazhuang mining area of North China

et al. 2021

View full text Add to dashboard Cite

Comparison of Shear Wave Velocity Prediction Models to Yangtze River Deltaic Sediments Based on Piezocone Test Data

Cited by 5 publications

References 25 publications

Liquefaction of industrial zone against earthquake loading using laboratory and field measurements

Liquefaction of industrial zone against earthquake loading using laboratory and field measurements

Bayesian probabilistic characterization of the shear-wave velocity combining the cone penetration test and standard penetration test

Seismic inversion-based prediction of the elastic parameters of rocks surrounding roadways: a case study from the Shijiazhuang mining area of North China

Contact Info

Product

Resources

About