Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Essam Mohammed Banoqitah"'
Autor:
Emad Ghandourah, Kouider Bendine, Samir Khatir, Brahim Benaissa, Essam Mohammed Banoqitah, Abdulsalam Mohammed Alhawsawi, Essam B. Moustafa
Publikováno v:
Buildings, Vol 13, Iss 7, p 1768 (2023)
Model-based approaches have been widely employed in damage detection and localization studies. However, alternative techniques, such as built-in online detection methods, hold promise for future advancements in structural health monitoring technologi
Externí odkaz:
https://doaj.org/article/d428a289962a4ccaab45f5c2abb28ec3
Autor:
Emad Ghandourah, Samir Khatir, Essam Mohammed Banoqitah, Abdulsalam Mohammed Alhawsawi, Brahim Benaissa, Magd Abdel Wahab
Publikováno v:
Buildings, Vol 13, Iss 4, p 973 (2023)
This paper presents an enhanced artificial neural network (ANN) to predict the displacement in composite pipes impacted by a drop weight having different velocities. The impact response of fiber-reinforced polymer composite pipes depends on several f
Externí odkaz:
https://doaj.org/article/f2f9cd9f83a74d6fba21943ff6307877
Autor:
Emad E. Ghandourah, Shahfuan A.hanif Hamidi, Khairul Anuar Mohd Salleh, Mahamad Noor Wahab, Essam Mohammed Banoqitah, Othman A. Fallatah
X-ray imaging Digital Laminography (DL) is a well-known Non-Destructive Testing (NDT) technique well suited for non-destructive examination of large and flat structures where traditional Computed Tomography (CT) is impractical. This technique provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b93c1554d0c17944b49f439ed02005fa
https://doi.org/10.21203/rs.3.rs-2692428/v1
https://doi.org/10.21203/rs.3.rs-2692428/v1
