Παρακαλώ χρησιμοποιήστε αυτό το αναγνωριστικό για να παραπέμψετε ή να δημιουργήσετε σύνδεσμο προς αυτό το τεκμήριο:
https://hdl.handle.net/20.500.14279/18917
Τίτλος: | The effect of targeted field investigation on the reliability of axially loaded piles: A random field approach | Συγγραφείς: | Christodoulou, Panagiotis Pantelidis, Lysandros Gravanis, Elias |
Major Field of Science: | Engineering and Technology | Field Category: | Civil Engineering | Λέξεις-κλειδιά: | Field investigation;Random Finite Element Method;Soil sampling;Probabilistic analysis;Reliability analysis;Pile design;Characteristic value | Ημερομηνία Έκδοσης: | Μαΐ-2020 | Πηγή: | 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 | Περιοδικό: | Geosciences | Περίληψη: | 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://hdl.handle.net/20.500.14279/18917 | 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 |
Εμφανίζεται στις συλλογές: | Publications under the auspices of the EXCELSIOR H2020 Teaming Project/ERATOSTHENES Centre of Excellence |
Αρχεία σε αυτό το τεκμήριο:
Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
---|---|---|---|---|
geosciences-10-00160-v2.pdf | Fulltext | 7.37 MB | Adobe PDF | Δείτε/ Ανοίξτε |
CORE Recommender
SCOPUSTM
Citations
2
checked on 6 Νοε 2023
WEB OF SCIENCETM
Citations
1
Last Week
0
0
Last month
0
0
checked on 29 Οκτ 2023
Page view(s)
273
Last Week
4
4
Last month
12
12
checked on 11 Μαϊ 2024
Download(s)
207
checked on 11 Μαϊ 2024
Google ScholarTM
Check
Altmetric
Αυτό το τεκμήριο προστατεύεται από άδεια Άδεια Creative Commons