Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/18917
Title: The effect of targeted field investigation on the reliability of axially loaded piles: A random field approach
Authors: Christodoulou, Panagiotis 
Pantelidis, Lysandros 
Gravanis, Elias 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Field investigation;Random Finite Element Method;Soil sampling;Probabilistic analysis;Reliability analysis;Pile design;Characteristic value
Issue Date: May-2020
Source: Geosciences, 2020, vol. 10, no. 5, articl. no. 160
Volume: 10
Issue: 5
Project: ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment 
Journal: Geosciences 
Abstract: This work deals with the e ect of targeted field investigation on the reliability of axially loaded piles, aiming at an optimal serviceability and ultimate limit state design. This is done in a Random Finite Element Method (RFEM) framework properly considering sampling in the analysis; the RFEM method combines finite element analysis with the random field theory. In this respect, the freely available program called RPILE1D has been modified by the authors as to consider sampling of both soil and pile properties. In each RFEM realization, failure is considered to have occurred when the calculated shaft resistance of pile considering spatially uniform properties (average of sampled values from the soil and pile random fields) is greater than the respective “actual” one considering spatially random properties for both soil and pile. The necessary numerical demonstration of the proposed methodology is done by considering two sampling strategies: a) sampling from a single point and b) sampling from a domain, both along the pile, whilst the various parameters governing the statistical uncertainty of the problem are examined; 5383 di erent cases were considered in total. As shown, a targeted field investigation may minimize or even eliminate the statistical error inserted in the design. The error is quantified by the di erence in the probability of failure comparing di erent sampling scenarios. Another main finding is that the optimal horizontal sampling location occurs where the pile is going to be constructed. In addition, it is shown that the benefit of a targeted field investigation is much greater than the benefit gained using characteristic soil property values.
Description: The article was funded by the “CUT Open Access Author Fund”
URI: https://ktisis.cut.ac.cy/handle/10488/18917
ISSN: 2076-3263
DOI: 10.3390/geosciences10050160
Rights: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license
Type: Article
Affiliation : Cyprus University of Technology 
ERATOSTHENES Centre of Excellence 
Appears in Collections:Publications under the auspices of the EXCELSIOR H2020 Teaming Project/ERATOSTHENES Centre of Excellence

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