Influence of particle size on the correlation between shear wave velocity and cone tip resistance

Karray, Mourad; Lefebvre, Guy; Ethier, Yannic; Bigras, A

doi:10.1139/t10-092

Cited by 44 publications

(33 citation statements)

References 13 publications

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“…Eight models [33][34][35][36][37][38][39][40] first calculated the velocity of a shear wave traveling V s through soil with the cone tip bearing resistance q c ; then, this value was converted to the initial tangent shear modulus G max as…”

Section: Soil and Suction Bucketsmentioning

confidence: 99%

Dynamic Characteristics of an Offshore Wind Turbine with Tripod Suction Buckets via Full-Scale Testing

Seo

Ryu

2020

Complexity

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The dynamic characteristics of an offshore wind turbine with tripod suction buckets are investigated through finite element analysis and full-scale experiments. In finite element analysis, an integrated framework is suggested to create a simple yet accurate high fidelity model. The integrated framework accounts for not only the strain dependency of the soil but also for all dynamics in the seabed, including those of the soil, suction bucket skirt, and cap. Hence, the model accurately describes the coupling effect of translational and rotational motions of the seabed. The prediction results are compared to the experimental results obtained via full-scale testing in four stages during construction and in several operational conditions. The comparison shows that the stiffness of the suction bucket cap and strain dependency of the soil play a significant role in predicting natural frequency, suggesting that these two factors should be considered in finite element analysis for the accurate prediction of dynamic responses of an offshore wind conversion system. Moreover, dynamic analysis of the strain and acceleration measured during operational conditions shows that strain is more robust than acceleration with regard to the characterization of the overall dynamics of an offshore wind conversion system because the natural frequency of an offshore wind turbine is very low. It can be inferred that the measurement of strain is a more effective way to monitor the long-term evolution of dynamic characteristics. The suggested integrated framework and measurement campaign are useful not only to avoid conservatism that may incur additional costs during load calculation and design phases but also to establish an intelligent operation and maintenance strategy with a novel sensing technique.

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Section: Soil and Suction Bucketsmentioning

confidence: 99%

Dynamic Characteristics of an Offshore Wind Turbine with Tripod Suction Buckets via Full-Scale Testing

Seo

Ryu

2020

Complexity

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“…, where r is the soil mass density), is evaluated from N 1(60) based on Karray and Éthier (2012) relationship (D 50 = 1 mm):…”

Section: Parametric Studymentioning

confidence: 99%

Prediction of axial capacity of piles driven in non-cohesive soils based on neural networks approach

Benali

Boukhatem

Hussien

et al. 2017

Journal of Civil Engineering and Management

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Abstract. This paper presents an application of two advanced approaches, Artificial Neural Networks (ANN) and Principal Component Analysis (PCA) in predicting the axial pile capacity. The combination of these two approaches allowed the development of an ANN model that provides more accurate axial capacity predictions. The model makes use of Back-Propagation Multi-Layer Perceptron (BPMLP) with Bayesian Regularization (BR), and it is established through the incorporation of approximately 415 data sets obtained from data published in the literature for a wide range of uncemented soils and pile configurations. The compiled database includes, respectively 247 and 168 loading tests on largeand low-displacement driven piles. The contributions of the soil above and below pile toe to the pile base resistance are pre-evaluated using separate finite element (FE) analyses. The assessment of the predictive performance of the new method against a number of traditional SPT-based approaches indicates that the developed model has attractive capabilities and advantages that render it a promising tool. To facilitate its use, the developed model is translated into simple design equations based on statistical approaches.

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“…5, 6) was developed on the normalized soil behavior type (SBT) Q tn -Fr chart. Furthermore, Robertson et al [35], Fear and Robertson [12], Karry et al [18], and Cai et al [7] suggested Eqs. 7-10, respectively.…”

Section: Brief Review Of Cpt-basedmentioning

confidence: 99%

Modified correlations to predict the shear wave velocity using piezocone penetration test data and geotechnical parameters: a case study in the southwest of Sweden

Shahri

Naderi

2016

Innov. Infrastruct. Solut.

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Shear wave velocity (V S) is an important geotechnical characteristic for determining dynamic soil properties. When no direct measurements are available, V S can be estimated based on correlations with common in situ tests, such as the piezocone penetration test (CPTu). In the current paper, three modified equations to predict the V S of soft clays based on a comprehensive provided CPTu database and related geotechnical parameters for southwest of Sweden were presented. The performance of the obtained relations were examined and investigated by several statistical criteria as well as graph analyses. The best performance was observed by implementing of corrected cone tip resistance (q t) and pore pressure ratio (B q) which directly can be found from CPTu data. The introduced modifications were developed and validated for available soft clays of the studied area in southwest of Sweden, and thus, their applicability for proper prediction in other areas with different characteristics should be controlled. However, the used method as a suitable tool can be employed to investigate.

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Influence of particle size on the correlation between shear wave velocity and cone tip resistance

Cited by 44 publications

References 13 publications

Dynamic Characteristics of an Offshore Wind Turbine with Tripod Suction Buckets via Full-Scale Testing

Dynamic Characteristics of an Offshore Wind Turbine with Tripod Suction Buckets via Full-Scale Testing

Prediction of axial capacity of piles driven in non-cohesive soils based on neural networks approach

Modified correlations to predict the shear wave velocity using piezocone penetration test data and geotechnical parameters: a case study in the southwest of Sweden

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