Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Mohammad Mohammadhassani"'
Publikováno v:
International Journal of Coastal and Offshore Engineering, Vol 2, Iss 1, Pp 35-43 (2018)
High Strength Concrete (HSC) is a complex type of concrete, that meets the combination of performance and uniformity at the same time. This paper demonstrates the use of artificial neural networks (ANN) to predict the deflection of high strength rein
Externí odkaz:
https://doaj.org/article/5d678d64d0de4bac9a3e9d5b5f10380a
Autor:
Nasaruddin Umar, Nadirsyah Hosen, Mohammad Mohammadhassani, Saeful Fatah, Muhammad Rodlin Billah, Nur Yuchanna, Burhan Ali, Mu'ammar Zayn Qadafy, Wahid Abdulrahman, Rina Agustina, Esty Prastyaningtyas, Putri Ramadani Jumadi, Nashran Aziza Vidjaja, Vans A Ischaqi, Mochammad Miftah El Azmi Mauladi Tontowi, Nanda Faturahman
Nahdliyins, die in Deutschland wohnen, haben im Allgemeinen mindestens zwei große Vorteile. Der erste Vorteil ist die frühe Exposition der Theorie und Praxis des Islam ahlussunnah wal Jamaah an-nahdlyah, der später als Islam Nusantara bekannt wurd
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8aa0bae6934c1cae2364c67aaa808f6c
https://doi.org/10.31219/osf.io/twdgm
https://doi.org/10.31219/osf.io/twdgm
An Experimental Investigation of the Stress-Strain Distribution in High Strength Concrete Deep Beams
Autor:
Mohammad, Mohammadhassani, Jumaat, Mohd Zamin Bin, Chemrouk, Mohamed, Ghasemi, Ali, Hakim, S.J.S., Najmeh, Rafieipour
Publikováno v:
In Procedia Engineering 2011 14:2141-2150
Publikováno v:
International Journal of Coastal and Offshore Engineering, Vol 2, Iss 1, Pp 35-43 (2018)
High Strength Concrete (HSC) is a complex type of concrete, that meets the combination of performance and uniformity at the same time. This paper demonstrates the use of artificial neural networks (ANN) to predict the deflection of high strength rein
Autor:
Roozbeh Alipour, Ali Toghroli, Majid Khorami, M.A. Mu’azu, Javad Katebi, Mohammad Mohammadhassani, Seyedamirhesam Khalafi, Edy Tonnizam Mohamad, Karzan Wakil
This paper presents a computational rational model to predict the ultimate and optimized load capacity of reinforced concrete (RC) beams strengthened by a combination of longitudinal and transverse fiber reinforced polymer (FRP) composite plates/shee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a413166af63dda8bb1863de8fcaaed50
https://engrxiv.org/w63cr
https://engrxiv.org/w63cr
Publikováno v:
Steel and Composite Structures. 20:651-669
The behavior of shear connectors plays a significant role in maintaining the required strength of a composite beam in normal and hazardous conditions. Various types of shear connectors are available and being utilized in the construction industry acc
Autor:
Yadollah Sedghi, Masoud Ahmadi, Mohammad Mohammadhassani, Javad Mehrmashadi, Dalibor Petković, Yousef Zandi, Maryam Safa
Publikováno v:
International Journal of Hydromechatronics. 3:1
The optimum raising conditions to synthesis the high crystallinity carbon nanotubes (CNTs) for improvement of their physical properties are presented in this study, thus, ANFIS has been used to optimise the most effectual characteristics for predicti
Publikováno v:
Smart Structures and Systems. 16:497-519
This study discusses the use of Adaptive-Network-Based-Fuzzy-Inference-System (ANFIS) in predicting the shear strength of reinforced-concrete deep beams. 139 experimental data have been collected from renowned publications on simply supported high st
Publikováno v:
Smart Structures and Systems. 14:785-809
Autor:
Nor Hafizah Ramli Sulong, Meldi Suhatril, Mohammad Mohammadhassani, Mahdi Shariati, Zainah Ibrahim, Ali Toghroli
Publikováno v:
Steel and Composite Structures. 17:623-639
Due to recent advancements in the area of Artificial Intelligence (AI) and computational intelligence, the application of these technologies in the construction industry and structural analysis has been made feasible. With the use of the Adaptive-Net