Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Afram Keivani"'
Publikováno v:
Smart Cities, Vol 5, Iss 4, Pp 1441-1464 (2022)
In recent years, dam construction has become more complex, requiring an effective project management method. Building Information Modeling (BIM) affects how construction projects are planned, designed, executed, and operated. Therefore, reducing exec
Externí odkaz:
https://doaj.org/article/92140bce1b504e90b33a8c64124d8d2f
Autor:
Milad Baghalzadeh Shishehgarkhaneh, Afram Keivani, Robert C. Moehler, Nasim Jelodari, Sevda Roshdi Laleh
Publikováno v:
Buildings, Vol 12, Iss 10, p 1503 (2022)
The present study uses a bibliometric and systematic literature review (SLR) to examine the use of Building Information Modeling (BIM), the Internet of Things (IoT), and Digital Twins (DT) in the construction industry. The network visualization and o
Externí odkaz:
https://doaj.org/article/a723ae18478d4a28a432e0cf40c59c0d
Autor:
Yousef Zandi, Afram Keivani
Publikováno v:
Civil and Sustainable Urban Engineering. 1:50-59
In the analysis of rectangular reinforced liquid storage tanks, a method assuming linear-elastic behavior for material can be used, i.e., the strip method, the moment coefficient method, the finite element method, etc. In the analysis of these types
Autor:
Afram Keivani, Yousef Zandi
Publikováno v:
Civil and Sustainable Urban Engineering. 1
One of the disadvantages of conventional steel structures in Iran is the common way of I-shaped beam to double column fixed connection that do not perform well against seismic loads. This article uses the side plate to modify and optimize the connect
Autor:
Afram Keivani, Dalibor Petković, Siti Hafizah Abd Hamid, Kasra Mohammadi, Malrey Lee, Shahaboddin Shamshirband
Publikováno v:
Renewable and Sustainable Energy Reviews. 59:429-435
The prime aim of this study is appraising the suitability of adaptive neuro-fuzzy inference framework (ANFIS) to compute the monthly wind power density. On this account, the extracted wind power from Weibull functions are utilized for training and te
Autor:
U. Johnson Alengaram, Mohd Zamin Jumaat, Shahaboddin Shamshirband, Zulkefli Mansor, Sareh Naji, Afram Keivani, Malrey Lee
Publikováno v:
Energy. 97:506-516
The current energy requirements of buildings comprise a large percentage of the total energy consumed around the world. The demand of energy, as well as the construction materials used in buildings, are becoming increasingly problematic for the earth
Autor:
Hossein Basser, Shahaboddin Shamshirband, Sareh Naji, Afram Keivani, U. Johnson Alengaram, Mohd Zamin Jumaat, Dalibor Petković
Publikováno v:
Renewable and Sustainable Energy Reviews. 53:1520-1528
The huge demand for energy and construction materials has become an issue of great concern recently. The energy usage of buildings accounts for a large percentage of the total primary energy consumption. The total energy requirement of buildings is i
Autor:
Shahaboddin Shamshirband, Por Lip Yee, Dalibor Petković, Afram Keivani, Eiman Tamah Al-Shammari, Sudheer Ch, Ali Mostafaeipour
Publikováno v:
Energy. 95:266-273
District heating systems operation can be improved by control strategies. One of the options is the introduction of predictive control model. Predictive models of heat load can be applied to improve district heating system performances. In this artic
Autor:
Shahaboddin Shamshirband, Dalibor Petković, Siti Hafizah Ab Hamid, Afram Keivani, Eiman Tamah Al-Shammari, Shatirah Akib, Kasra Mohammadi
Publikováno v:
Journal of Irrigation and Drainage Engineering. 142
In this research work, a hybrid approach of integrating a support vector machine (SVM) with firefly algorithm (FFA) is proposed to predict daily dewpoint temperature (Tdew). The main aim of employing FFA is to identify the optimal SVM parameters and