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Pregled bibliografske jedinice broj: 890030

Blind test prediction of an infilled RC building with OpenSees


Rodrigues, Hugo; Furtado, André Filipe; Arêde, António José Coelho Dias; Varum, Humberto; Grubišić, Marin; Kalman Šipoš, Tanja
Blind test prediction of an infilled RC building with OpenSees // Proceedings of 1st European Conference on OpenSees - EOS 2017
Porto, 2017. str. 109-112 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 890030 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Blind test prediction of an infilled RC building with OpenSees

Autori
Rodrigues, Hugo ; Furtado, André Filipe ; Arêde, António José Coelho Dias ; Varum, Humberto ; Grubišić, Marin ; Kalman Šipoš, Tanja

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

Izvornik
Proceedings of 1st European Conference on OpenSees - EOS 2017 / - Porto, 2017, 109-112

Skup
1st European Conference on OpenSees - EOS 2017

Mjesto i datum
Porto, Portugal, 19.06.2017. - 20.06.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
infilled frames ; prediction

Sažetak
Over the last years the seismic behaviour of infilled reinforced concrete (RC) structures have been focus of innumerous experimental and numerical studies. A big effort is being made by the scientific community with the aim of increase the knowledge regarding the seismic response of these type of structures and improve the numerical modelling accuracy to predict their expected behaviour. In 2015, a blind prediction contest was organized by the Faculty of Civil Engineering Osijek with main goal of invite the technical and scientific community to predict the nonlinear seismic behaviour of a 1:2.5 scaled 3D building struc- ture. The three-storey infilled RC structure was subjected to ten incremental earthquake se- quence on a shake table test. The blind numerical analyses were performed knowing only the specimen geometry, reinforcement detailing, material characteristics and the actual ground motions recorded during the testing. In this context and, in view of the author’s participa- tion success, the present paper mainly aims at presenting the key aspects of the adopted nu- merical methodology (and related difficulties) which proved to yield good results, while also providing some insight regarding key problems in numerical simulations of infilled RC structures seismic behaviour.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo, Temeljne tehničke znanosti



POVEZANOST RADA


Ustanove:
Građevinski i arhitektonski fakultet Osijek

Profili:

Avatar Url Marin Grubišić (autor)

Avatar Url Tanja Kalman Šipoš (autor)


Citiraj ovu publikaciju:

Rodrigues, Hugo; Furtado, André Filipe; Arêde, António José Coelho Dias; Varum, Humberto; Grubišić, Marin; Kalman Šipoš, Tanja
Blind test prediction of an infilled RC building with OpenSees // Proceedings of 1st European Conference on OpenSees - EOS 2017
Porto, 2017. str. 109-112 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Rodrigues, H., Furtado, A., Arêde, A., Varum, H., Grubišić, M. & Kalman Šipoš, T. (2017) Blind test prediction of an infilled RC building with OpenSees. U: Proceedings of 1st European Conference on OpenSees - EOS 2017.
@article{article, author = {Rodrigues, Hugo and Furtado, Andr\'{e} Filipe and Ar\^{e}de, Ant\'{o}nio Jos\'{e} Coelho Dias and Varum, Humberto and Grubi\v{s}i\'{c}, Marin and Kalman \v{S}ipo\v{s}, Tanja}, year = {2017}, pages = {109-112}, keywords = {infilled frames, prediction}, title = {Blind test prediction of an infilled RC building with OpenSees}, keyword = {infilled frames, prediction}, publisherplace = {Porto, Portugal} }
@article{article, author = {Rodrigues, Hugo and Furtado, Andr\'{e} Filipe and Ar\^{e}de, Ant\'{o}nio Jos\'{e} Coelho Dias and Varum, Humberto and Grubi\v{s}i\'{c}, Marin and Kalman \v{S}ipo\v{s}, Tanja}, year = {2017}, pages = {109-112}, keywords = {infilled frames, prediction}, title = {Blind test prediction of an infilled RC building with OpenSees}, keyword = {infilled frames, prediction}, publisherplace = {Porto, Portugal} }




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