Modified plate frame interaction method for evaluation of steel plate shear walls with beam-connected web plates

Article


Mamazizi, Arman, Khani, Shafi, Gharehbaghi, V.R. and Farsangi, Ehsan Noroozinejad. 2022. "Modified plate frame interaction method for evaluation of steel plate shear walls with beam-connected web plates." Journal of Building Engineering. 45. https://doi.org/10.1016/j.jobe.2021.103682
Article Title

Modified plate frame interaction method for evaluation of steel plate shear walls with beam-connected web plates

ERA Journal ID210809
Article CategoryArticle
AuthorsMamazizi, Arman, Khani, Shafi, Gharehbaghi, V.R. and Farsangi, Ehsan Noroozinejad
Journal TitleJournal of Building Engineering
Journal Citation45
Article Number103682
Number of Pages19
Year2022
PublisherElsevier
Place of PublicationUnited Kingdom
ISSN2352-7102
Digital Object Identifier (DOI)https://doi.org/10.1016/j.jobe.2021.103682
Web Address (URL)https://www.sciencedirect.com/science/article/pii/S2352710221015400
Abstract

Steel plate shear walls with beam-connected web plates (B-SPSW) are considered effective configurations in alleviating the tension field effects on vertical boundary elements through the detachment of web plates from them. It is critical to establish robust analytical models while investigating these setups. The plate-frame interaction approach (PFI), initially introduced for traditional SPSWs, is a widely used model that separately analyses the web plate and the surrounding frame. The purpose of this study was to propose a modified PFI (MPFI) method for B-SPSWs in light of their unique properties. Additionally, the buckling phenomena were thoroughly explored to justify thicker plates in the aforesaid configurations. Finite element models were created to determine the accuracy of the newly generated MPFI method equations for B-SPSWs. The numerical specimens were chosen to illustrate a variety of practical uses for these systems. Finally, the MPFI accurately predicted the strength and stiffness of the case studies, and significant overlaps between the MPFI diagrams and the numerical backbone curves were detected. The ratio of MPFI shear capacity to shear yield strength was found to be between 0.93 and 1.04 in numerical specimens. However, it was determined that the use of thick infill plates resulted in the premature production of plastic hinges in the frame, hence reducing the shear capacity envisaged.

KeywordsSteel plate shear walls (SPSWs) ; Beam-connected web plate ; Plate frame interaction (PFI) ; Shear buckling ; Partial tension field
Public Notes

Files associated with this item cannot be displayed due to copyright restrictions.

Byline AffiliationsUniversity of Kurdistan, Iran
University of Southern Queensland
University of British Columbia, Canada
Permalink -

https://research.usq.edu.au/item/z0267/modified-plate-frame-interaction-method-for-evaluation-of-steel-plate-shear-walls-with-beam-connected-web-plates

  • 23
    total views
  • 0
    total downloads
  • 1
    views this month
  • 0
    downloads this month

Export as

Related outputs

Robustness of Deep Transfer Learning-Based Crack Detection against Uncertainty in Hyperparameter Tuning and Input Data
Nguyen, Andy, Chianese, Riccardo R., Gharehbaghi, Vahid R., Perera, Ruveen, Low, Tobias, Aravinthan, Thiru, Yu, Yang, Samali, Bijan, Guan, Hong, Khuc, Tung and Le, Thach N.. 2022. "Robustness of Deep Transfer Learning-Based Crack Detection against Uncertainty in Hyperparameter Tuning and Input Data." Guan, Hong, Chan, Tommy H. T. and Li, Jianchun (ed.) Recent Advances in Structural Health Monitoring Research in Australia. New York, United States. Nova Science Publishers. pp. 215-243
A data-driven approach for linear and nonlinear damage detection using variational mode decomposition and GARCH model
Gharehbaghi, Vahid Reza, Kalbkhani, Hashem, Farsangi, Ehsan Noroozinejad, Yang, T. Y. and Mirjalili, Seyedali. 2023. "A data-driven approach for linear and nonlinear damage detection using variational mode decomposition and GARCH model." Engineering with Computers: an international journal for simulation-based engineering. 39 (3), pp. 2017-2034. https://doi.org/10.1007/s00366-021-01568-4
A computationally efficient crack detection approach based on deep learning assisted by stockwell transform and linear discriminant analysis
Nguyen, Andy, Nguyen, Canh Long, Gharehbaghi, Vahidreza, Perera, Ruveen, Brown, Jason, Yu, Yang and Kalbkhani, Hashem. 2022. "A computationally efficient crack detection approach based on deep learning assisted by stockwell transform and linear discriminant analysis." Structures. 45, pp. 1962-1970. https://doi.org/10.1016/j.istruc.2022.09.107
Influence of image noise on crack detection performance of deep convolutional neural networks
Chianese, R., Nguyen, A., Gharehbaghi, V. R., ‪Aravinthan‬, T. and Noori, M.. 2021. "Influence of image noise on crack detection performance of deep convolutional neural networks." Cunha, A. and Caetano, E. (ed.) 10th International Conference on Structural Health Monitoring of Intelligent Infrastructure: Advanced Research and Real-World Applications (SHMII-10). Porto, Portugal 30 Jun - 02 Jul 2021 Winnipeg, Canada.
Global best practices in dams & hydraulic structures: Alkali-Silica Reaction
Gharehbaghi, Vahid R. and Nguyen, Andy. 2021. "Global best practices in dams & hydraulic structures: Alkali-Silica Reaction." USHER in 2021: Redefining Resiliency in the New Normal. Philippines 23 Jul 2021
A Critical Review on Structural Health Monitoring: Definitions, Methods, and Perspectives
Gharehbaghi, Vahid Reza, Farsangi, Ehsan Noroozinejad, Noori, Mohammad, Yang, T. Y., Li, Shaofan, Nguyen, Andy, Malaga‑Chuquitaype, Christian, Gardoni, Paolo and Mirjalili, Seyedali. 2021. "A Critical Review on Structural Health Monitoring: Definitions, Methods, and Perspectives." Archives of Computational Methods in Engineering. https://doi.org/10.1007/s11831-021-09665-9
Deterioration and damage identification in building structures using a novel feature selection method
Gharehbaghi, Vahid Reza, Farsangi, Ehsan Noroozinejad, Yang, T.Y. and Hajirasouliha, Iman. 2021. "Deterioration and damage identification in building structures using a novel feature selection method." Structures. 29, pp. 458-470. https://doi.org/10.1016/j.istruc.2020.11.040
Rehabilitation of SDOF systems under air blast loading with a modified negative stiffness amplifying damper
Kiran, K. K., Farsangi, Ehsan Noroozinejad, Gharehbaghi, Vahidreza and Bogdanovic, Aleksandra. 2022. "Rehabilitation of SDOF systems under air blast loading with a modified negative stiffness amplifying damper." Journal of Building Pathology and Rehabilitation. 7 (1). https://doi.org/10.1007/s41024-022-00178-x
An innovative methodology for hybrid vibration control (MR+TMD) of buildings under seismic excitations
Lavassani, Seyed Hossein Hosseini, Shangapour, Saman, Homami, Peyman, Gharehbaghi, Vahidreza, Farsangi, Ehsan Noroozinejad and Yang, T.Y.. 2022. "An innovative methodology for hybrid vibration control (MR+TMD) of buildings under seismic excitations." Soil Dynamics and Earthquake Engineering. 155. https://doi.org/10.1016/j.soildyn.2022.107175
Interpretation of simultaneously optimized fuzzy controller and active tuned mass damper parameters under Pulse-type ground motions
Lavassani, Seyed Hossein Hosseini, Ebadijalal, Mehrdad, Shahrouzi, Mohsen, Gharehbaghi, Vahidreza, Farsangi, Ehsan Noroozinejad and Yang, T.Y.. 2022. "Interpretation of simultaneously optimized fuzzy controller and active tuned mass damper parameters under Pulse-type ground motions." Engineering Structures. 261. https://doi.org/10.1016/j.engstruct.2022.114286
A novel approach for deterioration and damage identification in building structures based on Stockwell-Transform and deep convolutional neural network
Gharehbaghi, Vahid Reza, Kalbkhani, Hashem, Farsangi, Ehsan Noroozinejad, Yang, T.Y., Nguyen, Andy, Mirjalili, Seyedali and Malaga‑Chuquitaype, Christian. 2022. "A novel approach for deterioration and damage identification in building structures based on Stockwell-Transform and deep convolutional neural network." Journal of Structural Integrity and Maintenance. 7 (2), pp. 136-150. https://doi.org/10.1080/24705314.2021.2018840
Next Generation “Living” Laboratory for Engineering Education and Engagement
Nguyen, Andy, Le, Ngoc Thach, Landers, Richard, Byrne, Terry, McDougall, Kevin, Gharehbaghi, Vahid Reza, Brown, Jason, Nguyen, Canh Long and Karunasena, Warna. 2022. "Next Generation “Living” Laboratory for Engineering Education and Engagement." 33rd Annual Conference of the Australasian Association of Engineering Education (AAEE 2022). Sydney, Australia 04 - 07 Dec 2022 Australia.
Supervised damage and deterioration detection in building structures using an enhanced autoregressive time-series approach
Gharehbaghi, Vahid Reza, Nguyen, Andy, Farsangi, Ehsan Noroozinejad and Yang, T. Y.. 2020. "Supervised damage and deterioration detection in building structures using an enhanced autoregressive time-series approach." Journal of Building Engineering. 30, pp. 1-16. https://doi.org/10.1016/j.jobe.2020.101292