Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Nasrin Aalimahmoody"'
Autor:
Nasrin Aalimahmoody, Chiara Bedon, Nasim Hasanzadeh-Inanlou, Amir Hasanzade-Inallu, Mehdi Nikoo
Publikováno v:
Infrastructures, Vol 6, Iss 6, p 80 (2021)
The number of effective factors and their nonlinear behaviour—mainly the nonlinear effect of the factors on concrete properties—has led researchers to employ complex models such as artificial neural networks (ANNs). The compressive strength is ce
Externí odkaz:
https://doaj.org/article/4ea9eaad07d6424b8f23c60a02a3657c
This study investigates a Novel Hybrid Informational model for the prediction of creep and shrinkage deflection of reinforced concrete (RC) beams containing different percentages of ground granulated blast furnace slag (GGBFS) at different ages, vary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c0251512786c574cc33aa353c56ceb9
Autor:
Chiara Bedon, Amir Hasanzade-Inallu, Mehdi Nikoo, Nasrin Aalimahmoody, Nasim Hasanzadeh-Inanlou
Publikováno v:
Infrastructures
Volume 6
Issue 6
Infrastructures, Vol 6, Iss 80, p 80 (2021)
Volume 6
Issue 6
Infrastructures, Vol 6, Iss 80, p 80 (2021)
The number of effective factors and their nonlinear behaviour—mainly the nonlinear effect of the factors on concrete properties—has led researchers to employ complex models such as artificial neural networks (ANNs). The compressive strength is ce
Autor:
Mehdi Nikoo, Seyed Vahid Razavi Tosee, Iman Faridmehr, Nasrin Aalimahmoody, Łukasz Sadowski, Tomasz Nowobilski, Chiara Bedon
Publikováno v:
Materials, Vol 14, Iss 6172, p 6172 (2021)
Materials
Volume 14
Issue 20
Materials
Volume 14
Issue 20
The aim of this article is to predict the compressive strength of environmentally friendly concrete modified with eggshell powder. For this purpose, an optimized artificial neural network, combined with a novel metaheuristic shuffled frog leaping opt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::268401cb9c1e98defde8449f38dc2c4e
https://www.mdpi.com/1996-1944/14/20/6172
https://www.mdpi.com/1996-1944/14/20/6172