Pile Setup in Cohesive Soil. I: Experimental Investigation

Ng, Kam; Roling, Matthew; AbdelSalam, Sherif S.; Suleiman, Muhannad T.; Sritharan, Sri

doi:10.1061/(asce)gt.1943-5606.0000751

Cited by 68 publications

(20 citation statements)

References 7 publications

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“…Although pile setup depends on the properties of the surrounding soil, the existing pile setup estimation methods available in literature rarely consider soil properties and usually require inconvenient restrikes to accurately estimate the pile setup. These limitations and the successful correlation between pile setup and soil parameters described in the companion paper (Ng et al, 2011) led to development of a new pile setup method. From the analyses of the pile and soil test data and through examining the validation of the proposed setup equation, the following conclusions resulted:…”

Section: Discussionmentioning

confidence: 99%

“…However, it has been shown that the variation of soil and pile types would vary the value of A between 0.1 and 1.0 (Bullock et al, 2005;and Yang and Liang 2006), creating uncertainties in the estimation of pile setup. Using recent restrikes and static load tests (SLT) of five piles summarized in the companion paper (Ng 2011), this issue is investigated in Figure 1. This figure confirms that the Skov and Denver (1988) method, with the recommended A value of 0.60, does not match the field test results.…”

Section: Existing Pile Setup Estimation Methodsmentioning

confidence: 99%

“…Alternatively, a methodology to estimate pile setup based on soil properties would be easier to implement, as well as cost effective. Using dynamic and static investigations on steel H-piles, it is shown in a companion paper (Ng et al 2011) that pile setup in cohesive soils is heavily dependent on the horizontal coefficient of consolidation, undrained shear strength and/or SPT N-value. Recognizing that a reliable method to estimate pile setup based on soil properties does not exist, a new methodology is proposed herein based on recent field test data.…”

Section: Introductionmentioning

confidence: 99%

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Pile Setup in Cohesive Soil. II: Analytical Quantifications and Design Recommendations

Suleiman

Sritharan

2013

J. Geotech. Geoenviron. Eng.

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This paper establishes a methodology to quantify pile setup by using recent field test data that was presented in a companion paper for steel H-piles driven in cohesive soils. Existing methods found in literature for the same purpose either require restrikes of piles onsite or are developed for a specific soil type and seldom use easily quantifiable soil properties, despite their significant influence on pile setup. Following a critical evaluation of the existing methods, a new approach for estimating pile setup was developed using dynamic measurements and analyses in combination with measured soil properties, such as the horizontal coefficient of consolidation, undrained shear strength, and the standard penetration test N value. Using pile setup information available in the literature, the proposed approach has shown that it provides good estimates for the setup of steel H-piles, as well as for other types and sizes of driven piles.

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Section: Discussionmentioning

confidence: 99%

Section: Existing Pile Setup Estimation Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Pile Setup in Cohesive Soil. II: Analytical Quantifications and Design Recommendations

Suleiman

Sritharan

2013

J. Geotech. Geoenviron. Eng.

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“…Setup refers to the increase in axial resistance of driven piles after end of driving, which has been studied by many researchers (Bullock et al 2005;Augustesen 2006;Ng et al 2013a;Chen et al 2014…”

Section: Calibration Of Resistance Factormentioning

confidence: 99%

Characterization of model uncertainty in predicting axial resistance of piles driven into clay

Tang

Phoon

2019

Can. Geotech. J.

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This paper summarizes 239 static load tests to evaluate the performance of four static design methods for axial resistance of driven piles in clay. The methods are ISO 19901-4:2016, SHANSEP, ICP-05, and NGI-05. The database is categorized into four groups depending on the load type (compression or uplift) and pile tip condition (open or closed end). The model uncertainty in resistance prediction is quantified as a ratio between measured and calculated resistance, which is called a model factor. The measured resistance is interpreted as a load producing a settlement level of 10% pile diameter. Database studies show that the four methods present a similar accuracy, where the mean and coefficient of variation (COV) of the model factor are around 1 and 0.3, respectively. The COV values are smaller than those for driven piles in sand available in literature. The model statistics determined from the database are applicable to a simplified or full probabilistic form of reliability-based design (RBD) of driven piles in clay. As an illustration, the resistance factors in load and resistance factor design (LRFD, a simplified form of RBD) are calibrated by Monte Carlo simulations.

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“…Many researchers have examined the time-dependent pile resistance gains, such as Bullock et al (2005) and Ng et al (2013). Several empirical relationships (e.g., Skov and Denver, 1988;Huang, 1988;Guang-Yu, 1988;Svinkin and Skov, 2000;Lutful and Decapite, 2011) have also been proposed to estimate the pile set-up resistance with time.…”

mentioning

confidence: 98%

Effects of Pile Size on Set-Up Behavior of Cohesive Soils

Haque

Chen

Abu-Farsakh

et al. 2014

Geo-Congress 2014 Technical Papers

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Driven piles usually experience significant increase in axial load resistance over time, known as set-up. A large portion of this set-up can be completed within the first few hours, and can also take a few days to months for set-up to complete. Dynamic and static load tests are usually performed to verify the axial resistances of piles at specific times after end of driving (EOD) and to quantify these resistances. The pile driving and testing records of 45 square precast prestressed piles (PPC) of various sizes from several projects conducted by the Louisiana Department of Transportation and Development (LADOTD) were collected in a database. These records include dynamic testing at end of driving and restrikes at various times after driving, in addition to static load tests. Four different size groups (14 in., 16 in., 24 in., and 30 in.) are used to study the size effect on pile set-up. This study is aimed at evaluating the effect of pile size on set-up phenomenon under similar soil condition. Results of the analyses show that the set-up ratio increases with increasing pile sizes after a given setup time. The pile testing database is also used to calculate the set-up rate of different pile sizes using the Skov and Denver (1988) methodology. Interestingly, the set-up rates observed from the load test database as reflected by the Skov and Denver's "A" parameter are also size dependent. The results indicate that pile set-up increases with increasing pile sizes.

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Pile Setup in Cohesive Soil. I: Experimental Investigation

Cited by 68 publications

References 7 publications

Pile Setup in Cohesive Soil. II: Analytical Quantifications and Design Recommendations

Pile Setup in Cohesive Soil. II: Analytical Quantifications and Design Recommendations

Characterization of model uncertainty in predicting axial resistance of piles driven into clay

Effects of Pile Size on Set-Up Behavior of Cohesive Soils

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