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Jellyfish search optimization for tuned mass dumpers for earthquake oscillation of elevated structures including soil–structure interaction

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Abstract

This paper examines the optimized parameters for tuned mass dampers (TMDs) to reduce seismic vibrations of tall buildings; with soil–structure interaction effects (SSI). To illustrate the results, earthquake data are applied to the model and the jellyfish search optimization (JSO) method is used to obtain the best parameters for TMD. TMD mass, damping coefficient and spring stiffness are assumed as design variables and the goal is to reduce both the maximum deflection and the acceleration of the aircraft. It shows how the JSO can be effectively applied to design the optimal TMD device. It is also noted that the type of soil significantly affects the optimized parameters of the TMD and the temporal response of structures. This study helps researchers better understand seismic vibrations and guides designers to achieve the optimized TMD for skyscrapers. The proposed method is the implementation of the MATLAB platform. Here the proposed technique is compared to other existing techniques such as the shuffled Shepherd optimization algorithm (SSO) and the genetic algorithm (GA).

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References

  • Aldaikh, H., Alexander, N. A., Ibraim, E., & Knappett, J. (2016). Shake table testing of the dynamic interaction between two and three adjacent buildings (SSSI). Soil Dynamics and Earthquake Engineering, 89, 219–232.

    Article  Google Scholar 

  • Aldaikh, H., Alexander, N. A., Ibraim, E., & Oddbjornsson, O. (2015). Two dimensional numerical and experimental models for the study of structure–soil–structure interaction involving three buildings. Computers and Structures, 150, 79–91.

    Article  Google Scholar 

  • Anand, V., & Satish Kumar, S. R. (2018). Seismic soil-structure interaction: A state-of-the-art review. Structures., 1, 1.

    Google Scholar 

  • Austin, S., & Jerath, S. (2017). Effect of soil-foundation-structure interaction on the seismic response of wind turbines. Ain Shams Engineering Journal, 8(3), 323–331.

    Article  Google Scholar 

  • Bekdas, G., Ecekayabekir, A., Melih Nigdeli, S., & Cengiz Toklu, Y. (2019). Transfer function amplitude minimization for structures with tuned mass dampers considering soil-structure interaction. Soil Dynamics and Earthquake Engineering, 116, 552–562.

    Article  Google Scholar 

  • Bolisetti, C., Whittaker, A. S., & Coleman, J. L. (2018). Linear and nonlinear soil-structure interaction analysis of buildings and safety-related nuclear structures. Soil Dynamics and Earthquake Engineering, 107, 218–233.

    Article  Google Scholar 

  • Brzeski, P., Kapitaniak, T., & Perlikowski, P. (2015). Novel type of tuned mass damper with inerter which enables changes of inertance. Journal of Sound and Vibration, 349, 56–66.

    Article  Google Scholar 

  • Chen, Q., Zhao, Z., Zhang, R., & Pan, C. (2018). Impact of soil–structure interaction on structures with inerter system. Journal of Sound and Vibration, 433, 1–15.

    Article  Google Scholar 

  • Cruz, C., & Miranda, E. (2017). Evaluation of soil-structure interaction effects on the damping ratios of buildings subjected to earthquakes. Soil Dynamics and Earthquake Engineering, 100, 183–195.

    Article  Google Scholar 

  • Dai, W., Rojas, F., Shi, C., & Tan, Y. (2018). Effect of soil structure interaction on the dynamic responses of base isolated bridges and comparison to experimental results. Soil Dynamics and Earthquake Engineering, 114, 242–252.

    Article  Google Scholar 

  • Fahimi Farzam, M., Kaveh, A., Jalali, H. H., & Maroofiazar, R. (2020). Robust optimum design of tuned mass damper inerter. Acta Mechanica. https://doi.org/10.1007/s00707-020-02720-9

    Article  Google Scholar 

  • Hassani, N., Bararnia, M., & GhodratiAmiri, G. (2018). Effect of soil-structure interaction on inelastic displacement ratios of degrading structures. Soil Dynamics and Earthquake Engineering, 104, 75–87.

    Article  Google Scholar 

  • Hu, P., Wang, Y., Wang, H., Zhao, R., Yuan, C., Zheng, Y., Lu, Q., Li, Y., & Masood, I. (2018). ALO-DM: A smart approach based on ant lion optimizer with differential mutation operator in big data analytics. In International Conference on Database Systems for Advanced Applications (pp. 64–73). Springer, Cham.

  • Kaveh, A., & Bakhshpoori, T. (2016). Water evaporation optimization: A novel physically inspired optimization algorithm. Computers and Structures, 167, 69–85.

    Article  Google Scholar 

  • Kaveh, A., Fahimi Farzam, M., & Hojat Jalali, H. (2020). Statistical seismic performance assessment of tuned mass damper inerter. Structural Control and Health Monitoring, 27(10), e2602.

    Article  Google Scholar 

  • Kaveh, A., & Farhoudi, N. (2013). A new optimization method: Dolphin echolocation. Advances in Engineering Software, 59, 53–70.

    Article  Google Scholar 

  • Kaveh, A., Farzam, M. F., & Maroofiaz, R. (2020). Comparing H2 and H∞ algorithms for optimum design of tuned mass dampers under near-fault and far-fault earthquake motions. Periodica Polytechnica Civil Engineering, 1, 1.

    Google Scholar 

  • Kaveh, A., & Khayatazad, M. (2013). Ray optimization for size and shape optimization of truss structures. Computers and Structures, 117, 82–94.

    Article  Google Scholar 

  • Kaveh, A., Mohammadi, S., Khadem Hosseini, O., Keyhani, A., & Kalatjari, V. R. (2015). Optimum parameters of tuned mass dampers for seismic applications using charged system search. Iranian Journal of Science and Technology, C1(39), 21–40.

    Google Scholar 

  • Mazza, F. (2018). Seismic demand of base-isolated irregular structures subjected to pulse-type earthquakes. Soil Dynamics and Earthquake Engineering, 108, 111–129.

    Article  Google Scholar 

  • Michel, P., Butenweg, C., & Klinkel, S. (2018). Pile-grid foundations of onshore wind turbines considering soil-structure-interaction under seismic loading. Soil Dynamics and Earthquake Engineering, 109, 299–311.

    Article  Google Scholar 

  • Mitropoulou, C. C., Kostopanagiotis, C., Kopanos, M., Ioakim, D., & Lagaros, N. D. (2016). Influence of soil–structure interaction on fragility assessment of building structures. Structures, 6, 85–98.

    Article  Google Scholar 

  • Nazarimofrad, E., & Zahra, S. M. (2018). Fuzzy control of asymmetric plan buildings with active tuned mass damper considering soil-structure interaction. Soil Dynamics and Earthquake Engineering, 115, 838–852.

    Article  Google Scholar 

  • Nazarimofrad, E., & Zahrai, S. M. (2017). Fuzzy control of asymmetric plan buildings with active tuned mass damper considering soil-structure interaction. Soil Dynamics and Earthquake Engineering., 1, 1.

    Google Scholar 

  • Papadopoulos, M., Van Beeumen, R., François, S., Degrande, G., & Lombaert, G. (2018). Modal characteristics of structures considering dynamic soil-structure interaction effects. Soil Dynamics and Earthquake Engineering, 105, 114–118.

    Article  Google Scholar 

  • Salvi, J., Pioldi, F., & Rizzi, E. (2018). Optimum tuned mass dampers under seismic soil-structure interaction. Soil Dynamics and Earthquake Engineering, 114, 576–597.

    Article  Google Scholar 

  • Sihag, P., Tiwari, N. K., & Ranjan, S. (2019). Prediction of unsaturated hydraulic conductivity using adaptive neuro-fuzzy inference system (ANFIS). ISH Journal of Hydraulic Engineering, 25(2), 132–142.

    Article  Google Scholar 

  • Skau, K. S., Jostad, H. P., Eiksund, G., & Sturm, H. (2019). Modelling of soil-structure-interaction for flexible caissons for offshore wind turbines. Ocean Engineering, 171, 273–285.

    Article  Google Scholar 

  • Stefanidou, S. P., Sextos, A. G., Kotsoglou, A. N., Lesgidis, N., & Kappos, A. J. (2017). Soil-structure interaction effects in analysis of seismic fragility of bridges using an intensity-based ground motion selection procedure. Engineering Structures, 151, 366–380.

    Article  Google Scholar 

  • Tajammolian, H., Khoshnoudian, F., Rad, A. R., & Loghman, V. (2018). Seismic fragility assessment of asymmetric structures supported on TCFP bearings subjected to near-field earthquakes. Structures., 13, 1.

    Article  Google Scholar 

  • Vanshaj, K., Arvind, S., & Shukla, M. (2022). Seismic response on soil-structure interaction of asymmetric plan buildings with active tuned mass dampers. International Journal of Structural Stability and Dynamics, 1, 1.

    MathSciNet  Google Scholar 

  • Vicencio, F., & Alexander, N. A. (2018). Higher mode seismic structure-soil-structure interaction between adjacent building during earthquakes. Engineering Structures, 174, 322–337.

    Article  Google Scholar 

  • Wang, G., Yuan, M., Miao, Y., Wu, J., & Wang, Y. (2018). Experimental study on seismic response of underground tunnel-soil-surface structure interaction system. Tunnelling and Underground Space Technology, 76, 145–159.

    Article  Google Scholar 

  • Wang, M., Wang, L., Ye, Z., & Yang, J. (2019). Ant lion optimizer for texture classification: A moving convolutional mask. IEEE Access, 7, 61697–61705.

    Article  Google Scholar 

  • Xie, Y., & DesRoches, R. (2019). Sensitivity of seismic demands and fragility estimates of a typical California highway bridge to uncertainties in its soil-structure interaction modeling. Engineering Structures, 189, 605–617.

    Article  Google Scholar 

  • Xu, L., Cui, Y., & Wang, Z. (2020). Active tuned mass damper based vibration control for seismic excited adjacent buildings under actuator saturation. Soil Dynamics and Earthquake Engineering, 135, 106181.

    Article  Google Scholar 

  • Yadegaridehkordi, E., Nilashi, M., Nasir, M. H. N. B. M., & Ibrahim, O. (2018). Predicting determinants of hotel success and development using structural equation modelling (SEM)-ANFIS method. Tourism Management, 66, 364–386.

    Article  Google Scholar 

  • Yang, H., Hasanipanah, M., Tahir, M. M., & Bui, D. T. (2019). Intelligent prediction of blasting-induced ground vibration using ANFIS optimized by GA and PSO. Natural Resources Research, 1, 1–12.

    Google Scholar 

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The author(s) received no financial support for the research, authorship, and/or publication of this article.

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1 Mr.Kumar Vanshaj Write the complete paper perform MATLAB analysis 2.Dr A K Shukla Guide in complete research work 3.Dr Mukesh Shukla Guide and suggest different methodologies which can be adopted in completing this research 4.Mr Abhishek Mishra collect all reserch data and softwares required in completing this research.

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Correspondence to Kumar Vanshaj.

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Vanshaj, K., Shukla, A.K., Shukla, M. et al. Jellyfish search optimization for tuned mass dumpers for earthquake oscillation of elevated structures including soil–structure interaction. Asian J Civ Eng 24, 779–792 (2023). https://doi.org/10.1007/s42107-022-00530-z

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  • DOI: https://doi.org/10.1007/s42107-022-00530-z

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