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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  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 (February 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 (December 2020).

    https://doi.org/10.1080/15732479.2019.1696378

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