20.500.12556/DKUM-91984 CAE artificial neural network applied to the design of incrementally launched prestressed concrete bridges 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. artificial neural networks bridge design incremental launching method expert knowledge reliability of predictions prestressed concrete bridges umetne nevronske mreže oblikovanje mostu inkrementalni način zagona strokovno znanje zanesljivost napovedi prednapeti betonski mostovi true false true MDPI Angleški jezik Slovenski jezik https://www.mdpi.com/2076-3417/15/4/2145 Članek v reviji 2025-03-10 12:31:05 2025-03-10 12:31:05 2025-03-11 03:12:00 0000-00-00 00:00:00 2025 0 0 27 str. iss. 4, [article no.] 2145 Vol. 15 Feb. 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2025-02-14 2025-02-16 2025-02-18 624.074.1:004.9 226843651 10.3390/app15042145 2076-3417 applsci-15-02145.pdf applsci-15-02145.pdf 1 426E09BADD98C90D7D4CBA18FD89F90F 8e3a9be3f0b5e4bc9a165ae3d73998c1b7130227c9f8e82e3e0cb3911bffae12 a548066b-fda3-11ef-b09f-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=189093 https://www.mdpi.com/2076-3417/15/4/2145 0 ae129a6e-fda3-11ef-b09f-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=189094 Fakulteta za gradbeništvo, prometno inženirstvo in arhitekturo 0 0 0