03417nas a2200265 a 450000500170000000800410001703500150005810000280007324500750010126000670017630000430024349000270028650001500031350200580046352022670052165000200278865000310280865000250283970000340286470000410289870000480293971000400298781000590302785600650308620260818095917.0260209s20259999th u  ms t    000   eng d  a.b124751301 aAvis, Celestino Conopio10aEnergy transfer and time effects on the axial capacity of driven piles  aPathum Thani, Thailand :bAsian Institute of Technology,c2025  a252 leaves :bill.+e1 online resource1 aThesis ;vno. GE-24-09  aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Geotechnical and Earth Resources Engineering  aThesis (M. Sc.) - Asian Institute of Technology, 2025  aDriven piles serve as a vital component in transferring structural loads to deeper, more  stable soil strata. Predicting their axial capacity accurately is essential for safe and  efficient foundation design. This research investigates the combined influence of  energy transfer efficiency and time effect (set-up) behavior on the axial capacity of  driven piles at both End-of-Driving (EOD) and Start-of-Restrike (SOR) stages. Existing  prediction models often overlook the combined effects of these two (2) factors, leading  to underestimate or overestimate the actual pile capacity, resulting in wide variation  between predicted and actual axial pile capacity.Field past data from dynamic pile testing and driving records were analyzed to quantify  energy losses during installation and capacity gains from soil recovery over time.  Results showed that average hammer energy transfer efficiency was 57.85% at EOD  and 40.32% at SOR. These values varied notably with ram weight, pile type, and soil  condition, with steel piles and heavier hammers achieving the highest efficiencies. Time  effect (soil set-up) analysis revealed a mean set-up factor of 1.612, indicating a 61.2%  increase in pile capacity due to rest periods, with shaft resistance identified as the  dominant contributor to this gain.The capacity prediction analysis demonstrated that the Danish formula offered the most  consistent results at EOD, with a low coefficient of variation (COV=0.22) and a  reliability index of Ý = 0.88. For the SOR condition, the Janbu formula with integrated  set-up correction yielded the highest accuracy, achieving the lowest root mean square  error (RMSE= 0.237) among all models evaluated. These findings affirm that predictive  reliability improves significantly when both energy transfer and time-dependent (set up) behavior are incorporated into the analysis.The proposed model enhances the accuracy of driven pile capacity estimation by  unifying energy efficiency and set-up effects into a model applicable to both immediate  and long-term conditions. This approach provides engineers with a more reliable tool  for foundation assessment, supporting safer design decisions and cost-effective construction practices in varied geotechnical settings. 0aEnergy transfer 0aPiling (Civil engineering) 0aTime-domain analysis1 aChao, Kuo Chieh,eChairperson0 aTian Ho Seah,eExamination Committee0 aAvirut Puttiwongrak,eExamination Committee2 aAIT Scholarship,eScholarship Donor2 aAsian Institute of Technology.tThesis ;vno. GE-24-09403Full-Textuhttp://203.159.5.9/ait-thesis/detail.php?q=B23577