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Naslov:CAE artificial neural network applied to the design of incrementally launched prestressed concrete bridges
Avtorji:ID Goričan, Tomaž (Avtor)
ID Kuhta, Milan (Avtor)
ID Peruš, Iztok (Avtor)
Datoteke:.pdf applsci-15-02145.pdf (5,54 MB)
MD5: 426E09BADD98C90D7D4CBA18FD89F90F
 
URL https://www.mdpi.com/2076-3417/15/4/2145
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FGPA - Fakulteta za gradbeništvo, prometno inženirstvo in arhitekturo
Opis:Bridges are typically designed by reputable, specialized engineering and design companies with years of experience. In these firms, experienced engineers share and pass on their knowledge to younger colleagues. However, when these experts retire, some of the knowledge is lost forever. As a subset of artificial intelligence methods, artificial neural networks (ANNs) can solve the problem of acquiring, transferring, and preserving specialized expert knowledge. This article describes the possible application of CAE ANN to acquire knowledge and to assist in the design of incrementally launched prestressed concrete bridges. Therefore, multidimensional graphs in the form of iso-curves of equal values were created, allowing practicing engineers to understand complex relationships between design parameters. The graphs also contain information about the reliability of the results, which is defined by an estimated parameter. The general rule is that results based on a larger number of actual data points are more reliable. Finally, an ANN BD assistant is proposed as an application that assists engineers and designers in the early stages of design and/or established engineers and designers in variant studies and design parameter optimization.
Ključne besede:artificial neural networks, bridge design, incremental launching method, expert knowledge, reliability of predictions, prestressed concrete bridges
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:14.02.2025
Datum sprejetja članka:16.02.2025
Datum objave:18.02.2025
Založnik:MDPI
Leto izida:2025
Št. strani:27 str.
Številčenje:Vol. 15, iss. 4, [article no.] 2145
PID:20.500.12556/DKUM-91984 Novo okno
UDK:624.074.1:004.9
COBISS.SI-ID:226843651 Novo okno
DOI:10.3390/app15042145 Novo okno
ISSN pri članku:2076-3417
Datum objave v DKUM:10.03.2025
Število ogledov:0
Število prenosov:18
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:Applied sciences
Skrajšan naslov:Appl. sci.
Založnik:MDPI
ISSN:2076-3417
COBISS.SI-ID:522979353 Novo okno

Gradivo je financirano iz projekta

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

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:umetne nevronske mreže, oblikovanje mostu, inkrementalni način zagona, strokovno znanje, zanesljivost napovedi, prednapeti betonski mostovi


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