Application of a Hybrid Artificial Neural Network-Particle S…

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  • DOI 10.3390/app9245534
  • OpenAlex ID W2994818485
  • Type Article
  • Language EN
  • Published 16 Dec 2019
  • Volume 9 (24)
  • Pages 5534
  • Source Applied Sciences
  • Publisher Multidisciplinary Digital Publishin…
  • FWCI 24.28
  • Countries 4
  • Institutions 9
  • Added 10 Oct 2025
  • Updated 16 Oct 2026
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Application of a Hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) Model in Behavior Prediction of Channel Shear Connectors Embedded in Normal and High-Strength Concrete

Article 2019 EN Gold

Channel shear connectors are known as an appropriate alternative for common shear connectors due to having a lower manufacturing cost and an easier installation process. The behavior of channel connectors is generally determined through conducting experiments. However, these experiments are not only costly but also time-consuming. Moreover, the impact of other parameters cannot be easily seen in t…

270

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82

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10

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24.28

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Authors & Affiliations
10 authors
#AuthorInstitutionsORCID
1 Mahdi Shariati Ton Duc Thang University (VN)
2 Mohammad Saeed Mafipour University of Tehran (IR)
3 Peyman Mehrabi K. N. Toosi University of Tech… (IR)
4 Alireza Bahadori University of Tehran (IR)
5 Yousef Zandi Islamic Azad University of Tab… (IR)
6 Musab Nimir Ali Salih University of Technology Malay… (MY) —
7 Hoang Nguyen Corresponding Duy Tan University (VN)
8 Jie Dou Corresponding Nagaoka University of Technolo… (JP)
9 Xuan Song The University of Tokyo (JP)
10 Poi Ngian Shek UTM Construction Research Cent… (MY) University of Technology Malay… (MY)

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