TY - JOUR
T1 - Evaluation of several design methods for calculating axial compression capacity of large diameter open-ended piles
AU - Rizk, Andrew
AU - MacHairas, Nikolaos
AU - Iskander, Magued
N1 - Funding Information:
Support for this project was provided by the USDA Ogallala Aquifer Project.
Funding Information:
The experimental investigation of drilled shafts was supported by the Oregon Department of Transportation through Grant SPR 765 and from the Pacific Northwest Transportation Consortium (PacTrans) through grant DTRT12 -UTC10. The ADSC esW t Coast Chapter CC(W ) contributed funds to help offset material costs associated with the construction of the test shafts, with critical coordination efforts and guidance provided by John Starcevich (Ma lcolm Drilling, Inc.), Becky Patterson CC(W ), and Rick alW sh (Hayward Baker, Inc.). Significant in-kind contributions were provided by the following firms and their employees: Malcolm Drilling, Pacific Foundation, 5DOSK¶V &RQFUHW,H ConTech Systems, 3-¶V a5rH, Nucor Skyline , ilW liams Form Engineering, Foundation Technologies, GEI Consultants, and Pile Dynamics. The experimental investigation of the driven pipe piles was funded by the California Department of Transportation (CalTrans), Contract 59A064. The s upport of the many agencies, firms, and individuals is gratefully appreciated.
Funding Information:
The work presented in this paper was funded by the Joint Transportation Research Program (JTRP) administered by the Indiana Department of Transportation (INDOT) and Purdue University through Contract SPR-4040.
Funding Information:
Funding from Syracuse Long Distance Network Seed Grants provided yb National Science Foundation grant 1536542 is greatly appreciated. The opinions are those of the authors alone and do not reflect those of the sponsors.
Funding Information:
The first author is grateful for support provided by the 2019 ADSC (International Association of Foundation Drilling) scholarship as well as access to facilities and mentorship at the Naval Facilities Engineering & Expeditionary arW fare Center (NAVFAC) in Port Hueneme, CA.
Funding Information:
This study was funded by the Florida Department of Transportation (FDOT). The authors would like to thank Mr. Michael Byerly at FDOT District 5 and Dr. Roger Gobin at the Turnpike for their help in providing the field data presented in this paper.
Funding Information:
The experimental work was primarily funded through fourth DXWKRU¶V 16) IXQGLQJ &00, 1752303) along with financial contributions through DFI¶VCommittee project fund, as well as generous industry support from our colleagues at DFI and ADSC. e W would lie k to gratefully acknowledge the leadership and the members of the DFI Drilled Shaft Committee, many of who m provided continuous feedback and guidance dur ing the design and construction process (specifically, Peter Faust, Eric Loehr, and Armin Stuedlein) . e W are furthermore extremely grateful for the material and equipment donations as well as the engineering support by : PJ Rebar (Nathan King) , Atlas Geofoam (Chris Franks) , ilW liams Form Engineering (Pete Speier and Jeff Ohlsen) , Foundation Technologies, Inc. ( Nick Milligan ) and Gregg Drilling and Testing (Brian Savela) . itW hout the support of these colleagues this research program would not have been possile in theb scope described.
Funding Information:
This work was made possible by Pennsylvania Infrastructure Technology Alliance (PITA). The statements made herein are solely the responsibility of the authors.
Funding Information:
This research includes calculations carried out on Temple University's HPC resources and thus was supported in part by the National Science Foundation through major research instrumentation grant number 1625061 and by the US Army Research Laboratory under contract number 911NFW -16 -2-0189.
Funding Information:
The authors would also like to acknowledge the support for the second author from National Science Foundation, award number CMMI-1936901 and the Texas A&M High Performance Research Computing facility for the use of their resources in running the numerous finite element analyses supporting this study
Funding Information:
The authors gratefully acknowledge the financial support from the GDOT and the volunteered responses from all the state DOTs that provide in depth information regarding their use of a pilot hole as a pile driving assistant method.
Publisher Copyright:
© ASCE.
PY - 2021
Y1 - 2021
N2 - The efficacy of eight pile design methods to calculate capacities of large diameter open-ended pipe piles (LDOEPs) is explored using data made possible by the 2016 release of the U.S. Federal Highway Administration (FHWA) deep foundation load test database. The analyses were performed using APILE Offshore 2019 software by Ensoft Inc. Capacities were predicted using four SPT based methods proposed by (1) FHWA; (2) the U.S. Army Corps of Engineers; (3) American Petroleum Institute (API); and (4) the Lambda method; and four recently adopted CPT based methods proposed by (5) Norwegian Geotechnical Institute (NGI); (6) Imperial College Pile (ICP); (7) University of Western Australia (UWA); and (8) Fugro. Three plugging conditions were considered for each method, and predictions were compared to the interpreted capacities from static load test data using the Original and/or Modified Davisson Criteria per American Association of State Highway and Transportation Officials (AASHTO) recommendations. The study demonstrates that CPT based methods are somewhat superior to SPT methods, but all methods exhibit scatter between measured and predicted capacities with the computed capacity off by a factor of two in many cases. In particular, API and the Revised Lambda methods best predict pile capacity when using SPT data, while the NGI method seemed to be the best among the CPT methods and arguably the best method overall. Seven of the eight methods (all except NGI) better predicted pile capacity considering that the piles are unplugged and ignoring contributions of soil internal friction on the pile inside diameter. FHWA was the least conservative and the worst predictor of LDOEP capacity.
AB - The efficacy of eight pile design methods to calculate capacities of large diameter open-ended pipe piles (LDOEPs) is explored using data made possible by the 2016 release of the U.S. Federal Highway Administration (FHWA) deep foundation load test database. The analyses were performed using APILE Offshore 2019 software by Ensoft Inc. Capacities were predicted using four SPT based methods proposed by (1) FHWA; (2) the U.S. Army Corps of Engineers; (3) American Petroleum Institute (API); and (4) the Lambda method; and four recently adopted CPT based methods proposed by (5) Norwegian Geotechnical Institute (NGI); (6) Imperial College Pile (ICP); (7) University of Western Australia (UWA); and (8) Fugro. Three plugging conditions were considered for each method, and predictions were compared to the interpreted capacities from static load test data using the Original and/or Modified Davisson Criteria per American Association of State Highway and Transportation Officials (AASHTO) recommendations. The study demonstrates that CPT based methods are somewhat superior to SPT methods, but all methods exhibit scatter between measured and predicted capacities with the computed capacity off by a factor of two in many cases. In particular, API and the Revised Lambda methods best predict pile capacity when using SPT data, while the NGI method seemed to be the best among the CPT methods and arguably the best method overall. Seven of the eight methods (all except NGI) better predicted pile capacity considering that the piles are unplugged and ignoring contributions of soil internal friction on the pile inside diameter. FHWA was the least conservative and the worst predictor of LDOEP capacity.
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U2 - 10.1061/9780784483404.009
DO - 10.1061/9780784483404.009
M3 - Conference article
AN - SCOPUS:85106058152
SN - 0895-0563
VL - 2021-May
SP - 98
EP - 107
JO - Geotechnical Special Publication
JF - Geotechnical Special Publication
IS - GSP 323
T2 - 2021 International Foundations Congress and Equipment Expo: Installation, Testing, and Analysis of Deep Foundations, IFCEE 2021
Y2 - 10 May 2021 through 14 May 2021
ER -