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Journal of Earthquake Engineering Volume 25, 2021 - Issue 2
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Original Articles

Application of the Artificial Neural Network for Predicting Mainshock-Aftershock Sequences in Seismic Assessment of Reinforced Concrete Structures

Gholamreza AbdollahzadehFaculty of Civil Engineering, Babol Noshirvani University of Technology, Babol, IranCorrespondence[email protected]
,
Ehsan OmranianFaculty of Civil Engineering, Babol Noshirvani University of Technology, Babol, Iran
&
Vahid VahedianFaculty of Civil Engineering, Babol Noshirvani University of Technology, Babol, Iran
Pages 210-236 | Received 27 Sep 2017, Accepted 10 Aug 2018, Published online: 05 Sep 2018

Citations (5)

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Read on this site (2)

Ehsan Omranian, Gholamreza Abdollahzadeh, Javad Vaseghi Amiri & Adel E. Abdelnaby. (2023) Multiple Earthquake Effects on Vulnerability of Horizontally Curved RC Bridges. Journal of Earthquake Engineering 27:3, pages 597-622.
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Yu-Meng Qiao, Da-Gang Lu & Xiao-Hui Yu. (2022) Shaking Table Tests of a Reinforced Concrete Frame Subjected to Mainshock-Aftershock Sequences. Journal of Earthquake Engineering 26:4, pages 1693-1722.
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Articles from other publishers (3)

Cheng Fang, Boyan Ping, Yue Zheng, Yiwei Ping & Hao Ling. (2023) Seismic fragility and loss estimation of self-centering steel braced frames under mainshock-aftershock sequences. Journal of Building Engineering 73, pages 106433.
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Elham Rajabi & Gholamreza Ghodrati Amiri. (2019) Generation of critical aftershocks using stochastic neural networks and wavelet packet transform. Journal of Vibration and Control 26:5-6, pages 331-351.
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Masoud Ghamari & Mohammad Shooshtari. (2019) Application of Performance-Based Plastic Design (PBPD) method for 3D steel structures. Engineering Structures 199, pages 109649.
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