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Naslov:Optimising energy piles: a multi-objective approach to cost and failure probability
Avtorji:ID Varga, Rok (Avtor)
ID Jelušič, Primož (Avtor)
ID Žlender, Bojan (Avtor)
Datoteke:.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
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FGPA - Fakulteta za gradbeništvo, prometno inženirstvo in arhitekturo
Opis: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.
Ključne besede:energy pile, multi-objective optimisation, reliability-based design, genetic algorithm
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Datum sprejetja članka:23.03.2025
Datum objave:02.04.2025
Založnik:Taylor & Francis
Leto izida:2025
Št. strani:18 str.
Številčenje:Vol. 19, iss. 1
PID:20.500.12556/DKUM-92398 Novo okno
UDK:624.131:004.021
COBISS.SI-ID:231505155 Novo okno
DOI:10.1080/17499518.2025.2485484 Novo okno
ISSN pri članku:1749-9526
Datum objave v DKUM:04.04.2025
Število ogledov:221
Število prenosov:14
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Skupna ocena:(0 glasov)
Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del revije

Naslov:Georisk
Skrajšan naslov:Georisk
Založnik:Taylor & Francis
ISSN:1749-9526
COBISS.SI-ID:522186521 Novo okno

Gradivo je financirano iz projekta

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:P2-0268-2020
Naslov:Geotehnologija

Licence

Licenca:CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:energetski piloti, večciljna optimizacija, zasnova, zanesljivost, genetski algoritmi


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