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Title:Optimising energy piles: a multi-objective approach to cost and failure probability
Authors:ID Varga, Rok (Author)
ID Jelušič, Primož (Author)
ID Žlender, Bojan (Author)
Files:.pdf Optimising_energy_piles__a_multi-objective_approach_to_cost_and_failure_probability.pdf (2,28 MB)
MD5: 6C94ACA468AC489013B66F67382C3FAE
 
URL https://www.tandfonline.com/doi/full/10.1080/17499518.2025.2485484#abstract
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
Abstract:This paper presents a comparative analysis of the influence of thermal loading on the design of optimally designed floating energy piles in soft consistency soils using a genetic algorithm. The nonlinear settlement of energy piles is also considered. The deterministic optimisation model (OPT-EP) includes a cost objective function constrained by design constraints and is later extended to include the probability of failure as a second objective function to perform multi-objective optimisation. This extension was undertaken because the Eurocode 7 approach only partially accounts for uncertainties in the soil, whereas the reliability-based design (RBD) approach fully exploits these uncertainties. Consequently, a multi-objective optimisation (cost vs. failure probability) was carried out in this study. The optimal designs obtained by the two different optimisation methodologies were further analysed and it was found that when the Eurocode 7 safety factor approach was used, the conditions related to thermal loading were not crucial for the design values. On the other hand, the multi-objective optimisation based on the RBD approach showed that the thermal loading affected the design, proving the usefulness of the multi-objective optimisation and the reliability-based design.
Keywords:energy pile, multi-objective optimisation, reliability-based design, genetic algorithm
Publication status:Published
Publication version:Version of Record
Article acceptance date:23.03.2025
Publication date:02.04.2025
Publisher:Taylor & Francis
Year of publishing:2025
Number of pages:18 str.
Numbering:Vol. 19, iss. 1
PID:20.500.12556/DKUM-92398 New window
UDC:624.131:004.021
ISSN on article:1749-9526
COBISS.SI-ID:231505155 New window
DOI:10.1080/17499518.2025.2485484 New window
Publication date in DKUM:04.04.2025
Views:223
Downloads:14
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Georisk
Shortened title:Georisk
Publisher:Taylor & Francis
ISSN:1749-9526
COBISS.SI-ID:522186521 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0268-2020
Name:Geotehnologija

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

Language:Slovenian
Keywords:energetski piloti, večciljna optimizacija, zasnova, zanesljivost, genetski algoritmi


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