Pregled bibliografske jedinice broj: 294535
New possibilities of structural design using artificial intelligence techiques: Application of Neural Networks in structural modelling optimization
New possibilities of structural design using artificial intelligence techiques: Application of Neural Networks in structural modelling optimization // I. simpozij Računalstvo u graditeljstvu - povodom 40. obljetnice računalstva na Građevinskom fakultetu. Zbornik radova / 1st Symposium Computing in Engineering - celebrating 40th anniversary of computing at the Faculty of Civil Engineering. Proceedings / Herman, Krešimir (ur.).
Zagreb: Građevinski fakultet Sveučilišta u Zagrebu, 2003. str. 209-220 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 294535 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
New possibilities of structural design using artificial intelligence techiques: Application of Neural Networks in structural modelling optimization
Autori
Bjelanović, Adriana ; Rajčić, Vlatka
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
I. simpozij Računalstvo u graditeljstvu - povodom 40. obljetnice računalstva na Građevinskom fakultetu. Zbornik radova / 1st Symposium Computing in Engineering - celebrating 40th anniversary of computing at the Faculty of Civil Engineering. Proceedings
/ Herman, Krešimir - Zagreb : Građevinski fakultet Sveučilišta u Zagrebu, 2003, 209-220
ISBN
953-6272-11-3
Skup
Računalstvo u graditeljstvu. 1. simpozij
Mjesto i datum
Zagreb, Hrvatska, 04.12.2003. - 06.12.2003
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
NN; FEA; 3D-parametric modelling; timber structures design; EC5
Sažetak
This paper represents the efficiency of trained Neural Networks in producing useful solutions to the structural design assignments and possibility of their application. The experiment in timber structural environment could be also applied on other materials or different typical entities. Trained NN was used in design of 3D glued laminated structural forms with main-girders of various special geometric shapes. The design of these structural forms is based on the same type of analysis and repetitive engineering procedure that gives sense to their parametric modelling, as the most suitable manner to describe them. FE analysis of 3D parametric modelling structures (using COSMOS/M program) gave results relevant for evaluation of states of safety, serviceability and stability of whole structure and its corresponding elements. The most important fact is that inputs and outputs of FE analysis were recognisable for generated Neural Networks that have been trained on them.
Izvorni jezik
Engleski
Znanstvena područja
Građevinarstvo
POVEZANOST RADA
Ustanove:
Građevinski fakultet, Zagreb,
Građevinski fakultet, Rijeka