Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Naser Safaeian Hamzehkolaei"'
Publikováno v:
Journal of Soft Computing in Civil Engineering, Vol 8, Iss 3, Pp 135-161 (2024)
Reinforced concrete shear wall (RCSW) significantly improves the seismic performance of buildings. Accurate estimation of the plastic hinge length (PHL) of RCSWs is crucial as it significantly impacts the plastic deformation, ultimate displacement, a
Externí odkaz:
https://doaj.org/article/bdac3c0073544b14a27809370aa40b42
Publikováno v:
Journal of Soft Computing in Civil Engineering, Vol 5, Iss 3, Pp 32-57 (2021)
Estimation of the seismic retrofit cost (SRC) is a complicated task in construction projects. In this study, the performance of four machine learning algorithms (MLAs), including Random Forest (RF), Extreme Learning Machine (ELM), Classification and
Externí odkaz:
https://doaj.org/article/d75ec4ff23314d288c9340f949c3940d
Publikováno v:
Journal of Soft Computing in Civil Engineering, Vol 5, Iss 2, Pp 86-119 (2021)
A hybrid algorithm is presented that combines strong points of Particle Swarm Optimization (PSO) and Generalized Reduced Gradient (GRG) algorithm to keep a good compromise between exploration and exploitation. The hybrid PSO-GRG quickly approximates
Externí odkaz:
https://doaj.org/article/87d3cdde22954b0f9227f33d2bbe9451
Publikováno v:
Buildings, Vol 12, Iss 8, p 1280 (2022)
There has been a significant increase in construction and demolition (C&D) waste due to the growth of cities and the need for new construction, raising concerns about the impact on the environment of these wastes. By utilising recycled C&D waste, esp
Externí odkaz:
https://doaj.org/article/cc624da3a13b45b8879234a1f2d65b72
Autor:
Arash Vatani, Jafar Jafari-Asl, Sima Ohadi, Naser Safaeian Hamzehkolaei, Sanaz Afzali Ahmadabadi, José A. F. O. Correia
Publikováno v:
Proceedings of the Institution of Civil Engineers - Maritime Engineering. :1-17
A hybrid random-forest-based subset simulation (RFSS) method for probabilistic assessment of scour around pile groups under waves is proposed. In the RFSS, a random forest is used to replace the true limit state function (LSF); it is updated based on
Publikováno v:
Soft Computing.
Autor:
Arash Karimi Pour, Amir Shirkhani, Naser Safaeian Hamzehkolaei, Yan Zhuge, Ehsan Noroozinejad Farsangi
Increasing the load-bearing capacity of columns without increasing their dimensions has become an essential issue for engineers. Concrete-filled steel tube (CFST) column is one of the common techniques used in different constructions. This study aims
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c2acccf34bdb85705f2b442ca1154db
https://hdl.handle.net/11541.2/31891
https://hdl.handle.net/11541.2/31891
Publikováno v:
International Journal of Pavement Engineering. 23:5030-5047
It is required to determine the mechanical properties of Roller Compacted Concrete Pavement (RCCP) such as Compressive Strength (CS) and Splitting Tensile Strength (STS) for constructing and mainta...
Publikováno v:
Soft Computing. 25:14245-14279
This study proposes an intelligent hybridization between the multi-level cross-entropy optimizer (MCEO) and moth-flame optimization (MFO) algorithms to keep a good compromise between exploration and exploitation. The proposed hybrid multi-level cross
Publikováno v:
Buildings; Volume 12; Issue 8; Pages: 1280
There has been a significant increase in construction and demolition (C&D) waste due to the growth of cities and the need for new construction, raising concerns about the impact on the environment of these wastes. By utilising recycled C&D waste, esp