Rehabilitation of SDOF systems under air blast loading with a modified negative stiffness amplifying damper

Article

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
Article Title

Rehabilitation of SDOF systems under air blast loading with a modified negative stiffness amplifying damper

Article CategoryArticle
AuthorsKiran, K. K., Farsangi, Ehsan Noroozinejad, Gharehbaghi, Vahidreza and Bogdanovic, Aleksandra
Journal TitleJournal of Building Pathology and Rehabilitation
Journal Citation7 (1)
Article Number44
Number of Pages15
Year2022
PublisherSpringer
Place of PublicationGermany
ISSN2365-3159
2365-3167
Digital Object Identifier (DOI)https://doi.org/10.1007/s41024-022-00178-x
Web Address (URL)https://link.springer.com/article/10.1007/s41024-022-00178-x
Abstract

Modified negative stiffness amplifying damper (MNSAD) is a novel vibration control device expected to consist of a negative stiffness spring with flexible cladding material. In this system, a dashpot is used in conjunction with the negative stiffness spring, and the damping magnification effect is greatly enhanced by amplifying the stoke of the dashpot. The negative stiffness property is preserved, and the MNSAD takes into account significant damping magnification effects. In this study, displacement and acceleration responses of SDOF systems under air blast load equipped with an MNSAD are investigated, which takes stochastic responses into account. Next, the optimum designed parameters yield three key parameters: stiffness ratio, damping ratio, and negative stiffness ratio. Following that, the SDOF system's responses to air blast load are calculated. It was observed that a significant damping effect is achieved by adding small damping (i.e., 2.8%) to the SDOF system with the proposed MNSAD. It was also discovered that replacing NSAD with MNSAD increases the long period structure's energy dissipation capacity from 16 to 28%.

KeywordsEnergy ratio ; SDOF ; Air blast load ; Negative stiffness amplifier damper ; Modified negative stiffness amplifier damper ; Stochastic response ; Resilience
Public Notes

File reproduced in accordance with the copyright policy of the publisher/author.

Byline AffiliationsSJB Institute of Technology, India
Graduate University of Advanced Technology, Iran
University of Southern Queensland
Ss. Cyril and Methodius University in Skopje, Republic of North Macedonia
Permalink -

https://research.usq.edu.au/item/z023w/rehabilitation-of-sdof-systems-under-air-blast-loading-with-a-modified-negative-stiffness-amplifying-damper

Log in to edit

Download files

Published Version
s41024-022-00178-x.pdf
File access level: Anyone

  • 32
    total views
  • 23
    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. 29 (4), pp. 2209-2235. 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
Modified plate frame interaction method for evaluation of steel plate shear walls with beam-connected web plates
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
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