Updated: 2025-01-11

Parsa Ghannadi

Researcher, Author, Reviewer, Editor, Civil Engineer, Programmer

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  • Ghannadi, P., Kourehli, S.S., Nguyen, A. (2024) Experimental validation of an efficient strategy for FE model updating and damage identification in tubular structures. Nondestructive Testing and Evaluation, 1-40. https://doi.org/10.1080/10589759.2024.2402887

  • Ghannadi, P., Kourehli, S.S., Nguyen, A., Li, Q., & Oterkus, E. (2024). Unlocking the Transformative Potential of Artificial Intelligence in Computational Mechanics. Artificial Intelligence in Computational Mechanics.

  • Ghannadi, P., Kourehli, S.S., Nguyen, A., & Oterkus, E. (2024). Letter to the Editor: A brief insight into the NDT in the UK. e-Journal of Nondestructive Testing. https://doi.org/10.58286/29401

  • Ghannadi, P., Kourehli, S. S. & Nguyen, A. (2023). The Differential Evolution Algorithm: An Analysis of More than Two Decades of Application in Structural Damage Detection (2001–2022). Data-Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications, Taylor & Francis Group. http://dx.doi.org/10.1201/9781003306924-2

  • Ghannadi, P., Kourehli, S. S., Khatir, S., Nguyen, A., Boutchicha, D. & Wahab, M.A. (2023). Finite element model updating and damage identification using semi-rigidly connected frame element and optimization procedure: An experimental validation. Structures, 50, 1173-1190. https://doi.org/10.1016/j.istruc.2023.02.008

  • Ghannadi, P., Kourehli, S. S. & Mirjalili, S. (2023). A review of the application of simulated annealing algorithm in structural health monitoring (1995-2021). Frattura Ed Integrit`a Strutturale, 17(64), 51-76. https://doi.org/10.3221/IGF-ESIS.64.04

  • Ghannadi, P., Kourehli, S. S. & Mirjalili, S. (2022). The application of PSO in structural damage detection: an analysis of the previously released publications (2005–2020). Frattura Ed Integrit`a Strutturale, 16(62), 460-489. https://doi.org/10.3221/IGF-ESIS.62.32

  • Ghannadi, P., & Kourehli, S. S. (2022). Efficiency of the slime mold algorithm for damage detection of large-scale structures. The Structural Design of Tall and Special Buildings, 31(14), e1967. https://doi.org/10.1002/tal.1967

  • Ghannadi, P., & Kourehli, S. S. (2021). An effective method for damage assessment based on limited measured locations in skeletal structures. Advances in Structural Engineering, 24(1), 183-195. https://doi.org/10.1177/1369433220947193

  • Ghannadi, P., & Kourehli, S. S. (2020). Multi-verse optimizer for structural damage detection: numerical study and experimental validation. The Structural Design of Tall and Special Buildings, 29(13), e1777. http://doi.org/10.1002/tal.1777

  • Ghannadi, P., Kourehli, S. S., Noori, M., & Altabey, W. A. (2020). Efficiency of grey wolf optimization algorithm for damage detection of skeletal structures via expanded mode shapes. Advances in Structural Engineering23(13), 2850-2865. https://doi.org/10.1177/1369433220921000
  • Ghannadi, P., & Kourehli, S. S. (2019). Structural damage detection based on MAC flexibility and frequency using moth-flame algorithm. Structural Engineering and Mechanics, 70(6), 649-659. https://doi.org/10.12989/sem.2019.70.6.649

  • Ghannadi, P., & Kourehli, S. S. (2019). Data-driven method of damage detection using sparse sensors installation by SEREPa. Journal of Civil Structural Health Monitoring, 9(4), 459-475. https://doi.org/10.1007/s13349-019-00345-8

  • Ghannadi, P., & Kourehli, S. S. (2019). Model updating and damage detection in multi-story shear frames using Salp Swarm Algorithm. Earthquakes and Structures, 17(1), 63-73. https://doi.org/10.12989/eas.2019.17.1.063

  • Ghannadi, P., & Kourehli, S. S. (2018). Investigation of the accuracy of different finite element model reduction techniques. Structural Monitoring and Maintenance, 5(3), 417-428. https://doi.org/10.12989/smm.2018.5.3.417

  • [28] Ain Shams Engineering Journal 
  • [26] Measurement
  • [15] Applied Soft Computing
  • [8] International Conference on Structural Health Monitoring & Engineering Structures
  • [8] Heliyon
  • [7] Knowledge-Based Systems
  • [5] Expert Systems with Applications
  • [5] Alexandria Engineering Journal
  • [5] Practice Periodical on Structural Design and Construction
  • [4] Journal of Sound and Vibration
  • [4] International Journal of Structural Stability and Dynamics
  • [3] Frattura Ed Integrit`a Strutturale
  • [3] Applied Computational Intelligence and Soft Computing
  • [3] Engineering Research Express
  • [2] Mechanical Systems and Signal Processing
  • [2] Nondestructive Testing and Evaluation
  • [2] Signal Processing
  • [2] Discover Civil Engineering
  • [2] Applied Ocean Research
  • [2] ISA Transactions
  • [2] Advances in Civil Engineering
  • [2] Journal of Building Pathology and Rehabilitation
  • [2] Engineering Science and Technology, an International Journal
  • [2] Journal of Structural Integrity and Maintenance
  • [2] IEEE Transactions on Intelligent Transportation Systems
  • [2] Physical Mesomechanics
  • [2] Journal of Structural Design and Construction Practice
  • [2] Smart Materials and Structures
  • [1] Advances in Engineering Software
  • [1] International Journal of Communication Systems
  • [1] Journal of Materials and Engineering Structures
  • [1] International Conference on Machine Learning and Intelligent Systems
  • [1] Structural Control and Health Monitoring
  • [1] The Journal of Supercomputing
  • [1] International Journal of Masonry Research and Innovation
  • [1] Sound and Vibration
  • [1] Journal of Intelligent Construction
  • [6] Frattura Ed Integrit`a Strutturale
  • [1] PLOS One
  • The British Institute of Non-Destructive Testing, United Kingdom. Affiliate Member· February 2024 – Present.
  • American Society of Civil Engineers, United States. Affiliate Member· January 2024 – Present.
  • Structural Engineering Institute of ASCE, United States. Member· January 2024 – Present.
  • Construction Engineering Organization of East Azerbaijan Province, Iran. Member. 2016 – Present.
     
  • London to transform into a metropolis among the clouds: an extensive need for SHM experts

      https://www.bindt.org/News/June-2024/london-to-transform-into-a-metropolis-among-the-clouds-an-extensive-need-for-shm-experts/

  • The cover image is based on the research article entitled ”Multiverse optimizer for structural damage detection: Numerical study and experimental validation” by Ghannadi, P., & Kourehli, S. S.. (2020). http://dx.doi.org/10.1002/tal.1822

  • The cover image is based on the research article entitled ”Efficiency of the slime mold algorithm for damage detection of large-scale structures” by Ghannadi, P., & Kourehli, S. S. (2022). http://dx.doi.org/10.1002/tal.1986

Structural Health Monitoring, Sound & Vibration (2023 Impact Factor = 0.9)

  Guest Editors:

  1. Parsa Ghannadi (Islamic Azad University, Iran)
  2. Dr. Seyed Sina Kourehli (Azarbaijan Shahid Madani University, Iran)
  3. Prof. Erkan Oterkus (University of Strathclyde, UK)

 

New Trends in Structural Health Monitoring, Frattura Ed Integrit`a Strutturale (2023 Impact Factor = 1.2)

  Guest Editors:

  1. Parsa Ghannadi (Islamic Azad University, Iran)
  2. Dr. Seyed Sina Kourehli (Azarbaijan Shahid Madani University, Iran)
  3. Dr. Yashar Eftekhar Azam (University of New Hampshire, USA)