Prediction of Pile Shaft Capacity in Tension Based on Some Direct CPT Methods—Vistula Marshland Test Site - Publication - Bridge of Knowledge

Search

Prediction of Pile Shaft Capacity in Tension Based on Some Direct CPT Methods—Vistula Marshland Test Site

Abstract

This paper presents different CPT methodologies for the prediction of the pile shaft resistance in tension on the example of three reference screw piles of the Jazowa test site in Poland. The shaft capacity was estimated based on the cone resistance, sleeve friction and CPT excess pore water pressure. Three piles with diameter 0.4 m and the length varied from 8 m to 14.6 m were subjected to static load tests in tension. Their results were used to determine the ultimate bearing capacity of the reference piles. The pile shaft resistance was estimated according to the AFNOR standard, Doan & Lehane 2018 centrifuge tests based method (Delft University of Tech-nology approach), the Modified Unicone method, KTRI (Kajima Technical Research Institute) and LCPC (Laboratoire Central des Ponts et Chaussées) method. Then, the ultimate bearing ca-pacity determined in static load tests was compared to the estimated values according to five different methods. The best estimation fitting almost perfectly to static load tests values was obtained with AFNOR method whereas the other predictions significantly underestimated the ultimate bearing capacity.

Citations

  • 3

    CrossRef

  • 0

    Web of Science

  • 2

    Scopus

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
Materials no. 15,
ISSN: 1996-1944
Language:
English
Publication year:
2022
Bibliographic description:
Zwara Ł., Bałachowski L.: Prediction of Pile Shaft Capacity in Tension Based on Some Direct CPT Methods—Vistula Marshland Test Site// Materials -Vol. 15,iss. 15(7) (2022), s.2426-
DOI:
Digital Object Identifier (open in new tab) 10.3390/ma15072426
Sources of funding:
  • National Centre for Research and Development, grant number PBS3/B2/18/2015
Verified by:
Gdańsk University of Technology

seen 58 times

Recommended for you

Meta Tags