Zobrazeno 1 - 10
of 363
pro vyhledávání: '"Magd Abdel Wahab"'
Publikováno v:
Journal of Materials Research and Technology, Vol 30, Iss , Pp 5455-5464 (2024)
The mechanical tensile properties of T91 steel after being oxidized in liquid LBE saturated by oxygen at 350–500 °C for up to 1000 h are studied. Duplex oxide scales are found on T91 steels after the LBE exposure, and the thickness evolution is re
Externí odkaz:
https://doaj.org/article/1fe3e15f370d41a4842692f1f59abca1
Autor:
Kaifa Fan, Daoxin Liu, Can Wang, Jing Yang, Yanjie Liu, Xiaohua Zhang, Junfeng Xiang, Magd Abdel Wahab
Publikováno v:
Journal of Materials Research and Technology, Vol 28, Iss , Pp 4052-4064 (2024)
In this paper, combined experimental and numerical methods are applied to investigate the effect of different contact stress and slip amplitude on the fretting fatigue (FF) behaviour of TC11 titanium alloy with gradient nanostructure introduced by ul
Externí odkaz:
https://doaj.org/article/2c5a7357809a45eea39390ae66f03810
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract In this paper, the feasibility of Structural Health Monitoring (SHM) employing a novel Fibonacy Sequence (FS)-based Optimization Algorithms (OAs) and up-to-date computing techniques is investigated for a large-scale railway bridge. During re
Externí odkaz:
https://doaj.org/article/a66bccf61def4919b6ea11f62d3cd2b0
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-19 (2023)
Abstract Alloy 718 is commonly used in the maritime and aerospace industries due to its strength and durability, particularly in engine rotating components such as disks, fan blades, and high-pressure compressors. As a new type of 3D printing technol
Externí odkaz:
https://doaj.org/article/0b709856f07f44e597ab744153db7251
Autor:
Dung Ngoc BUI, Hieu Tran NGUYEN, Hoa Ngoc TRAN, Lan Ngoc NGUYEN, Huan VU, Thanh Tien BUI, Magd ABDEL WAHAB
Publikováno v:
Journal of Materials and Engineering Structures, Vol 9, Iss 4, Pp 589-598 (2022)
In recent years, bridge damage identification using a convolutional neural network (CNN) has become a hot research topic and received much attention in the field of civil engineering. Although CNN is capable of categorizing damaged and undamaged stat
Externí odkaz:
https://doaj.org/article/6f4b0636cfc846b3837be047b9066561
Autor:
Lan Ngoc-Nguyen, Hoa Ngoc-Tran, Samir Khatir, Thang Le-Xuan, Quyet Huu-Nguyen, G. De Roeck, Thanh Bui-Tien, Magd Abdel Wahab
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Optimization algorithms (OAs) are a vital tool to deal with complex problems, and the improvement of OA is inseparable from practical strategies and mechanisms. Among the OAs, Bee Algorithm (BA) is an intelligent algorithm with a simple mech
Externí odkaz:
https://doaj.org/article/2f6b4f52ad234428bf3e69fd6bb8b989
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-18 (2022)
Abstract In this study, a meta-heuristic algorithm, named The Planet Optimization Algorithm (POA), inspired by Newton's gravitational law is proposed. POA simulates the motion of planets in the solar system. The Sun plays the key role in the algorith
Externí odkaz:
https://doaj.org/article/cc9a186eb0b84a568c9c38345d5157c8
Publikováno v:
Advances in Sciences and Technology, Vol 16, Iss 2, Pp 262-279 (2022)
The purpose of this article is to investigate the effect of sandblasting surface treatment, before the bonding process, on the strength of the adhesive joints of the three types of aluminium alloy sheets. Three values of pressure were used during the
Externí odkaz:
https://doaj.org/article/e38df5504f3b4873a29f0eaacb1ec85e
Autor:
Samir Khatir, Samir Tiachacht, Cuong-Le Thanh, Hoa Tran-Ngoc, Seyedali Mirjalili, Magd Abdel Wahab
Publikováno v:
Case Studies in Construction Materials, Vol 17, Iss , Pp e01197- (2022)
Vibration-based damage detection tools are frequently employed because of their advantages over other non-destructive techniques. This paper presents an improved Frequency Response Function (FRF) indicator for damage identification in complex structu
Externí odkaz:
https://doaj.org/article/43710d55039b44be94200758aa887e46
Publikováno v:
Frattura ed Integrità Strutturale, Vol 16, Iss 59, Pp 18-34 (2022)
The dynamic experimental and numerical analysis of cracked beams has been studied with the aim of quantifying the influence of depth crack on the dynamic response of steel beams. Artificial Neural Method ANN has been used where a numerical simulation
Externí odkaz:
https://doaj.org/article/268130c42dde42a582836da8cf9494ea