Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Hamed Sadaghian"'
Autor:
Behrooz Dadmand, Hamed Sadaghian, Sahand Khalilzadehtabrizi, Masoud Pourbaba, Milad Shirdel, Amir Mirmiran
Publikováno v:
Case Studies in Construction Materials, Vol 18, Iss , Pp e01865- (2023)
Compressive, tensile, and flexural properties of ultra-high-performance concrete (UHPFRC) specimens were studied in this research. Binary and ternary combinations of micro steel (MS), round crimped (RC), crimped (C), hooked-end (H), and polypropylene
Externí odkaz:
https://doaj.org/article/f1878bf7b20946118cf966d1b6ef27ae
Publikováno v:
Applied Sciences, Vol 11, Iss 18, p 8762 (2021)
In this paper, an optimization approach was presented for the flexural strength and stiffness design of reinforced concrete beams. Surrogate modeling based on machine learning was applied to predict the responses of the structural system in three-poi
Externí odkaz:
https://doaj.org/article/bee4b9e3c9254d17b62825197f80260b
Publikováno v:
Frontiers of Structural and Civil Engineering. 17:306-325
Publikováno v:
Additive Manufacturing. 60:103251
Publikováno v:
Advances in Structural Engineering. 22:1727-1738
In this research, the flexural and shear behavior of five locally developed ultra-high-performance fiber-reinforced concrete beams was experimentally investigated. Four-point loading tests were carried out on concrete specimens which were further com
Publikováno v:
Magazine of Concrete Research. 71:43-54
The shear behaviour of reinforced concrete (RC) plates at the junction of interior rectangular walls was experimentally studied. Four tests were conducted on rectangular RC plates that were simply set on edge supports. Walls had different aspect rati
Publikováno v:
Applied Sciences (Switzerland) 11 (2021), Nr. 18
Applied Sciences (Switzerland)
Applied Sciences
Volume 11
Issue 18
Applied Sciences, Vol 11, Iss 8762, p 8762 (2021)
Applied Sciences (Switzerland)
Applied Sciences
Volume 11
Issue 18
Applied Sciences, Vol 11, Iss 8762, p 8762 (2021)
In this paper, an optimization approach was presented for the flexural strength and stiffness design of reinforced concrete beams. Surrogate modeling based on machine learning was applied to predict the responses of the structural system in three-poi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d31629518a662a2c3a835a78d8c76954
https://www.repo.uni-hannover.de/handle/123456789/12557
https://www.repo.uni-hannover.de/handle/123456789/12557
Autor:
Hamed Sadaghian, Masood Farzam
Publikováno v:
Structural Concrete. 19:1983-1991
Publikováno v:
Construction and Building Materials. 175:402-410
Ultra-high-performance fiber-reinforced concrete (UHPFRC) is a new type of concrete with excellent mechanical and durability characteristics. This study describes the influence of age on the compressive strength of UHPFRC. At least, 112 cubic specime
Publikováno v:
Construction and Building Materials. 268:121196
This study investigates the flexural behavior of ultra-high-performance fiber-reinforced concrete (UHPFRC) beams with and without initial notch both experimentally and numerically. Parameters of the study were the modulus of elasticity, flexural stre