Estimation of driven pile resistance using geostatistical methods SCIE SCOPUS

Cited 2 time in WEB OF SCIENCE Cited 0 time in Scopus
Title
Estimation of driven pile resistance using geostatistical methods
Author(s)
Yoon, GL; O'Neill, MW
KIOST Author(s)
Yoon, Gil Lim(윤길림)
Publication Year
1999-01
Abstract
High factors of safety in WSD or low resistance factors in LRFD are often applied to computed pile resistance to take account of the inherent variability in soil properties at a construction site. These factors may be moved closer to unity if dynamic monitoring such as pile driving analysis is performed on representative piles. An alternative or complementary method for reducing the level of uncertainty of pile resistance at a site with variable soil properties is to perform cone penetration tests in the vicinity of the piles to be installed, and the use of geostatistical methods to arrive at a concept has been applied to driven piles at the National Geotechnical Experimentation Site at the University of Houston (NGES-UH), layered clay-sandy silts site. This paper describes the applications of geostatistical methods to cone penetrometer data for predicting driven pile resistance. In this study, three CPT prediction methods, namely those of Schmertmann, Tumay and Fakroo, and LPC; and two alpha methods, namely those of Tomlinson and API, have been used to compute ultimate axial resistance of II identical driven piles installed in overconsolidated clay sites at the NGES-UH. (C) 1998 Elsevier Science Ltd. All rights reserved.
ISSN
0266-8920
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/6180
Bibliographic Citation
PROBABILISTIC ENGINEERING MECHANICS, v.14, no.1-2, pp.205 - 211, 1999
Publisher
ELSEVIER SCI LTD
Keywords
CPT; LRFD; pile design; pile; overconsolidated clay; geostatistics; Kriging
Type
Article
Language
English
Document Type
Article
Publisher
ELSEVIER SCI LTD
Related Researcher
Research Interests

marine geotechnics,Dredging & Soft Ground,Offshore Wind Foundations,해양지반공학,준설 및 연약지반,해상풍력기초 및 신뢰성설계

Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse