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Pregled bibliografske jedinice broj: 241629

Structural Design of GluLam Roof Using AI Techniques


Bjelanović, Adriana
Structural Design of GluLam Roof Using AI Techniques // Gradbena informatika 2001 / Turk, Žiga (ur.).
Ljubljana: Fakulteta za gradbeništvo in geodezijo Univerze v Ljubljani, 2001. str. 161-168 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Structural Design of GluLam Roof Using AI Techniques

Autori
Bjelanović, Adriana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Gradbena informatika 2001 / Turk, Žiga - Ljubljana : Fakulteta za gradbeništvo in geodezijo Univerze v Ljubljani, 2001, 161-168

Skup
Gradbena informatika 2001

Mjesto i datum
Ljubljana, Slovenija, 14.11.2001. - 16.11.2001

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
GLULAM roof structure; EC5 standards; parametric modeling; totally computed design process; artificial intelligence; expert system; RBES; Neural Network; FEA modeling

Sažetak
Operative RBES (using rule based GURU MDBS expert shell) for optimization and analysis of several characteristically types GLULAM main-girder beams and secondary elements of timber roof construction (in accordance with relevant EC5 rules implemented into a system), follows an idea of totally computed process of the structural design, construction and control. Final products of the ES consultation are being tested by FE analysis in COSMOS-M program. Real values of parametric defined input data (disposition, geometry, type of stabilization, loads on construction, material properties, etc.) are produced by RBES. Estimating of the problem using FEA (static and buckling analysis) is numerical comparable with results of ES consultation. AI environment is created by application of Neural Network (using NeuroShell2). Those are trained on inputs and results of RBES consultation and finally produce the optimal dimensions of elements and other relevant aspects of safety and serviceability control for the whole construction.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo



POVEZANOST RADA


Projekti:
1-02-024

Ustanove:
Građevinski fakultet, Zagreb,
Građevinski fakultet, Rijeka

Profili:

Avatar Url Adriana Bjelanović (autor)


Citiraj ovu publikaciju:

Bjelanović, Adriana
Structural Design of GluLam Roof Using AI Techniques // Gradbena informatika 2001 / Turk, Žiga (ur.).
Ljubljana: Fakulteta za gradbeništvo in geodezijo Univerze v Ljubljani, 2001. str. 161-168 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Bjelanović, A. (2001) Structural Design of GluLam Roof Using AI Techniques. U: Turk, Ž. (ur.)Gradbena informatika 2001.
@article{article, author = {Bjelanovi\'{c}, Adriana}, editor = {Turk, \v{Z}.}, year = {2001}, pages = {161-168}, keywords = {GLULAM roof structure, EC5 standards, parametric modeling, totally computed design process, artificial intelligence, expert system, RBES, Neural Network, FEA modeling}, title = {Structural Design of GluLam Roof Using AI Techniques}, keyword = {GLULAM roof structure, EC5 standards, parametric modeling, totally computed design process, artificial intelligence, expert system, RBES, Neural Network, FEA modeling}, publisher = {Fakulteta za gradbeni\v{s}tvo in geodezijo Univerze v Ljubljani}, publisherplace = {Ljubljana, Slovenija} }
@article{article, author = {Bjelanovi\'{c}, Adriana}, editor = {Turk, \v{Z}.}, year = {2001}, pages = {161-168}, keywords = {GLULAM roof structure, EC5 standards, parametric modeling, totally computed design process, artificial intelligence, expert system, RBES, Neural Network, FEA modeling}, title = {Structural Design of GluLam Roof Using AI Techniques}, keyword = {GLULAM roof structure, EC5 standards, parametric modeling, totally computed design process, artificial intelligence, expert system, RBES, Neural Network, FEA modeling}, publisher = {Fakulteta za gradbeni\v{s}tvo in geodezijo Univerze v Ljubljani}, publisherplace = {Ljubljana, Slovenija} }




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