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S - Kam Ng PhD Dissertation Final.pdf - Digital Repository of CCEE ...

S - Kam Ng PhD Dissertation Final.pdf - Digital Repository of CCEE ...

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105dynamic analysis methods. They suggested that scheduling <strong>of</strong> construction or pile testing forsetup measurement should consider the following recommended times in hours elapsed afterthe pile installation to reach 75% <strong>of</strong> the maximum resistance (t 75% ) in terms <strong>of</strong> a pile radius(r). For open-ended pipe piles, the pile radius (r) can be taken as one-half <strong>of</strong> the outsidediameter. For a square shape pile, the radius (r) can be assumed as half <strong>of</strong> its side dimension.The depth from the outer edge <strong>of</strong> one flange to the outer edge <strong>of</strong> the other flange canconsidered the equivalent radius (r) for steel H-piles. This approach does not estimate pilesetup, but it suggests when pile static or dynamic tests are performed to measure the increasein pile resistance at 75% <strong>of</strong> the maximum value.1. For piles embedded completely in clay:For static testing purpose:For dynamic testing purpose:2. For piles embedded in alternating soil conditions (granular and cohesive):For dynamic testing purpose:Karlsrud et al. (2005) tried to relate soil properties to pile setup by incorporating theplasticity index (PI) and overconsolidation ratio (OCR) in Eq. (2.64), based on a NorwegianGeotechnical Institute (NGI) database that consisted <strong>of</strong> 36 well documented pile tests on steelpipe piles with outer diameters greater than 200 mm and supplemented results given in Flaate(1968). Referred to Eq. (2.64), the term 0 . / 1 is a dimensionlessresistance increase for a ten-fold time increase, and it is limited to a range between 0.1 and0.5. Fellenius (2008) concluded that the reference resistance at 100 days (R 100 ) by assumingcomplete pore water dissipation at this time was not true and not feasibly determined inpractices.[ ( ) ] ( ) (2.64)Jeon and Rahman (2007) developed a backpropagation neural network (BPNN) toestimate the increase <strong>of</strong> ultimate pile resistance based on a database from a variety <strong>of</strong> case

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