0
  • DE
  • EN
  • FR
  • Internationale Datenbank und Galerie für Ingenieurbauwerke

Anzeige

Meisam Gordan ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Siow, Pei Yi / Cheah, Bing Zhen / Ong, Zhi Chao / Khoo, Shin Yee / Gordan, Meisam / Lim, Kok-Sing: Development and implementation of medium-fidelity physics-based model for hybrid digital twin-based damage identification of piping structures. In: Journal of Civil Structural Health Monitoring.

    https://doi.org/10.1007/s13349-024-00856-z

  2. Ghaedi, Khaled / Javanmardi, Ahad / Ibrahim, Zainah / Gordan, Meisam / Rashid, Raizal S. M. / Khatibi, Hamed / Vaghei, Ramin (2023): Experimental and numerical studies on the cyclic performance of structural frames equipped with bar dampers. In: Structures, v. 50 (April 2023).

    https://doi.org/10.1016/j.istruc.2023.02.070

  3. Ghayeb, Haider Hamad / Razak, Hashim Abdul / Sulong, N. H. Ramli / Mo, Kim Hung / Abutaha, Fuad / Gordan, Meisam (2021): Performance of mechanical steel bar splices using grouted couplers under uniaxial tension. In: Journal of Building Engineering, v. 34 (Februar 2021).

    https://doi.org/10.1016/j.jobe.2020.101892

  4. Gordan, Meisam / Razak, Hashim Abdul / Ismail, Zubaidah / Ghaedi, Khaled (2018): Data mining based damage identification using imperialist competitive algorithm and artificial neural network. In: Latin American Journal of Solids and Structures, v. 15, n. 8 (August 2018).

    https://doi.org/10.1590/1679-78254546

  5. Gordan, Meisam / Razak, Hashim Abdul / Ismail, Zubaidah / Ghaedi, Khaled (2017): Recent Developments in Damage Identification of Structures Using Data Mining. In: Latin American Journal of Solids and Structures, v. 14, n. 13 ( 2017).

    https://doi.org/10.1590/1679-78254378

  6. Tan, Zhi Xin / Thambiratnam, David P. / Chan, Tommy H. T. / Gordan, Meisam / Razak, Hashim Abdul (2020): Damage detection in steel-concrete composite bridge using vibration characteristics and artificial neural network. In: Structure and Infrastructure Engineering, v. 16, n. 9 (Dezember 2020).

    https://doi.org/10.1080/15732479.2019.1696378

Eine Veröffentlichung suchen...

Nur verfügbar mit
Mein Structurae

Volltext
Structurae kooperiert mit
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine