12.07.2015 Views

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

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

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

SHOW MORE
SHOW LESS
  • No tags were found...

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

229Book method computed by AbdelSalam et al. (2010) as listed in Table 6.8. Adopting thesuggestion given by Paikowsky et al. (2004) for other affecting factors, the LRFD frameworkfor the construction control consideration can be expressed as:∑γ ξ (6.10)The product <strong>of</strong> construction control factors ( ξ i ) can be expressed specifically for variousresistance conditions as follows:1. EOD condition: ξ i = ξ EOD ,2. EOD condition including setup in clay: ξ i = ξ EOD × ξ setup , or3. BOR condition: ξ i = ξ BOR,where,γ iQ iПξ iφRξ EODξ setupξ BOR= load factor,= applied load,= product <strong>of</strong> all applicable construction control factors,= originally developed resistance factor for Iowa Blue Book,= nominal pile resistance estimated using Iowa Blue Book,= construction control factor at the end <strong>of</strong> driving condition,= construction control factor for considering pile setup, and= construction control factor for beginning <strong>of</strong> restrike condition.The construction control factors were determined using a probabilistic approach.This probabilistic approach relies on a cumulative distribution curve <strong>of</strong> a ratio <strong>of</strong> the factoredpile resistance predicted using either WEAP or CAPWAP to that estimated using the IowaBlue Book method as shown in Figure 6.5 and Figure 6.6, respectively. The cumulativepercent on the y-axis indicates the chance at which the factored pile resistance predictedusing the selected construction control method is less than that estimated using the Iowa BlueBook. The blue straight line represents the theoretical, cumulative, normal distribution <strong>of</strong> thefactored resistance ratios (i.e., the red data points), and the variation in the red data pointsalong the theoretical straight line indicates the data are not a perfect normal distribution. The

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!