Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Nima Ezami"'
Autor:
Nader M. Okasha, Masoomeh Mirrashid, Hosein Naderpour, Aybike Ozyuksel Ciftcioglu, D.P.P. Meddage, Nima Ezami
Publikováno v:
Developments in the Built Environment, Vol 19, Iss , Pp 100494- (2024)
This research explores the use of machine learning to predict the mechanical properties of cementitious materials enhanced with carbon nanotubes (CNTs). Specifically, the study focuses on estimating the elastic modulus and flexural strength of these
Externí odkaz:
https://doaj.org/article/8cdd725694a94895bb2a8a17929464b7
Publikováno v:
Buildings, Vol 14, Iss 8, p 2443 (2024)
This study aimed to rigorously evaluate the impact of tuned mass dampers (TMDs) on structural response under seismic excitation. By strategically placing TMDs at various levels within the structures, the research sought to determine their effectivene
Externí odkaz:
https://doaj.org/article/3bb4d84f5b184c229ce45026b4e3f942
Autor:
Hosein Naderpour, Mohammad Abbasi, Denise-Penelope N. Kontoni, Masoomeh Mirrashid, Nima Ezami, Ambrosios-Antonios Savvides
Publikováno v:
Buildings, Vol 14, Iss 1, p 214 (2024)
Non-destructive testing (NDT) is a crucial method for detecting damages in concrete structures. Structural damage can lead to functional changes, necessitating a range of damage detection techniques. Non-destructive methods enable the pinpointing of
Externí odkaz:
https://doaj.org/article/6b193a16e2c3471892b27cf2a32a3258
Publikováno v:
Journal of Wind Engineering and Industrial Aerodynamics. 208:104449
Tornadoes are one of the most pressing research topics in wind engineering due to the extensive damages they impact on infrastructure and the environment. The proper scaling of experimentally produced tornado-like vortices (TLVs) against actual torna