Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Ramin Ghiasi"'
Autor:
Abdollah Malekjafarian, Muhammad Arslan Khan, Eugene J. OBrien, E. Alexandra Micu, Cathal Bowe, Ramin Ghiasi
Publikováno v:
Sensors, Vol 22, Iss 19, p 7468 (2022)
In this paper, a field study is carried out to monitor the natural frequencies of Malahide viaduct bridge which is located in the north of Dublin. The bridge includes a series of simply supported spans, two of which collapsed in 2009 and were replace
Externí odkaz:
https://doaj.org/article/99e8ad49f77142c68310f289636fd14f
Publikováno v:
Sensors, Vol 22, Iss 10, p 3775 (2022)
Seismic response prediction is a challenging problem and is significant in every stage during a structure’s life cycle. Deep neural network has proven to be an efficient tool in the response prediction of structures. However, a conventional neural
Externí odkaz:
https://doaj.org/article/5bfb48b1210541899f38b9541b4b63ea
Autor:
Ramin Ghiasi, Mohammad Noori, Sin-Chi Kuok, Ahmed Silik, Tianyu Wang, Francesc Pozo, Wael A. Altabey
Publikováno v:
Applied Sciences, Vol 12, Iss 4, p 1876 (2022)
Damage detection of civil and mechanical structures based on measured modal parameters using model updating schemes has received increasing attention in recent years. In this study, for uncertainty-oriented damage identification, a non-probabilistic
Externí odkaz:
https://doaj.org/article/4be1382535e845638de1c1ffc021f79e
Autor:
Wael A. Altabey, Mohammad Noori, Zele Li, Ying Zhao, Seyed Bahram Beheshti Aval, Ehsan Noroozinejad Farsangi, Ramin Ghiasi, Ahmed Silik
Publikováno v:
Applied Sciences, Vol 11, Iss 23, p 11409 (2021)
Magnetorheological elastomeric (MRE) material is a novel type of material that can adaptively change the rheological property rapidly, continuously, and reversibly when subjected to real-time external magnetic field. These new type of MRE materials c
Externí odkaz:
https://doaj.org/article/69afa0c0cb5443e0b099d264d4aee930
Publikováno v:
Applied Sciences, Vol 11, Iss 13, p 6063 (2021)
Automatic crack identification for pipeline analysis utilizes three-dimensional (3D) image technology to improve the accuracy and reliability of crack identification. A new technique that integrates a deep learning algorithm and 3D shadow modeling (3
Externí odkaz:
https://doaj.org/article/a69361c409d0412eb6ee61676a592632
Publikováno v:
Applied Sciences, Vol 11, Iss 2, p 770 (2021)
Recent advancements in sensor technology have resulted in the collection of massive amounts of measured data from the structures that are being monitored. However, these data include inherent measurement errors that often cause the assessment of quan
Externí odkaz:
https://doaj.org/article/a6ec997c81034a1faf1b12001e63bb88
Publikováno v:
Applied Sciences, Vol 8, Iss 12, p 2564 (2018)
Modal macro strain-based damage identification is a promising approach since it has the advantages of high sensitivity and effectiveness over other related methods. In this paper, a basalt fiber-reinforced polymer (BFRP) pipeline system is used for a
Externí odkaz:
https://doaj.org/article/86cb91aa39984b4ab2bc945aa54fa50b
Autor:
Ahmed Silik, Mohammad Noori, Ramin Ghiasi, Tianyu Wang, Sin-Chi Kuok, Nabeel S. D. Farhan, Ji Dang, Zhishen Wu, Wael A. Altabey
Publikováno v:
Journal of Civil Structural Health Monitoring.
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications. 235:2639-2653
Hysteresis is a nonlinear phenomenon observed in the dynamic response behavior of numerous structural systems under high intensity cyclic or random loading, as well as in numerous mechanical and electromagnetic systems. For several decades, hystereti
Publikováno v:
Lifelines 2022.