DOI QR코드

DOI QR Code

Seismic response study of tower-line system considering bolt slippage under foundation displacement

  • Jia-Xiang Li (School of Resources and Civil Engineering, Northeastern University) ;
  • Jin-Peng Cheng (School of Resources and Civil Engineering, Northeastern University) ;
  • Zhuo-Qun Zhang (State Grid Economic and Technological Research Institute Co., Ltd.) ;
  • Chao Zhang (School of Resources and Civil Engineering, Northeastern University)
  • 투고 : 2024.04.18
  • 심사 : 2024.07.04
  • 발행 : 2024.07.25

초록

Once the foundation displacement of the transmission tower occurs, additional stress will be generated on the tower members, which will affect the seismic response of transmission tower-line systems (TTLSs). Furthermore, existing research has shown that the reciprocating slippage of joints needs to be considered in the seismic analysis. The hysteretic behavior of joints is obtained by model tests or numerical simulations, which leads to the low modeling efficiency of TTLSs. Therefore, this paper first utilized numerical simulation and model tests to construct a BP neural network for predicting the skeleton curve of joints, and then a numerical model for a TTLS considering the bolt slippage was established. Then, the seismic response of the TTLS under foundation displacement was studied, and the member stress changes and the failed member distribution of the tower were analyzed. The influence of foundation displacement on the seismic performance were discussed. The results showed that the trained BP neural network could accurately predict the hysteresis performance of joints. The slippage could offset part of the additional stress caused by foundation settlement and reduce the stress of some members when the TTLS with foundation settlement was under earthquakes. The failure members were mainly distributed at the diagonal members of the tower leg adjacent to the foundation settlement and that of the tower body. To accurately analyze the seismic performance of TTLSs, the influence of foundation displacement and the joint effect should be considered, and the BP neural network can be used to improve modeling efficiency.

키워드

과제정보

This research was supported by the Fundamental Research Funds for the Central Universities (Grant No. N2301012), and State Key Laboratory of Coastal and Offshore Engineering Fund (LP2218).

참고문헌

  1. An, L.Q., Wu, J. and Jiang, W.Q. (2019), "Experimental and numerical study of the axial stiffness of bolted joints in steel lattice transmission tower legs", Eng. Struct., 187, 490-503. https://doi.org/10.1016/j.engstruct.2019.02.070.
  2. Atashfaraz, B., Taiyari, F., Raad, H. H. and Formisano, A. (2021), "Post-tensioned tendons for enhancing the seismic behaviour of base-isolated monopole transmission towers", Eng. Struct., 247, 113222. https://doi.org/10.1016/j.engstruct.2021.113222.
  3. Dong, X., Tian, L., Bi, W.Z., Li, C. and Liu, J.C. (2023), "Effect of fault crossing angle and location on seismic behavior of transmission tower-line system", J. Earthq. Eng., 27(14), 4073-4093. https://doi.org/10.1080/13632469.2022.2158965.
  4. Du, H.H., Pan, J.Y., Shen, H.X. and Dong, J. (2022), "Numerical analysis of flexural behavior of prestressed steel-concrete continuous composite beams based on BP neural network", Comput. Intel. Neurosc., 5501610. https://doi.org/10.1155/2022/5501610.
  5. Duan, Y.F., Sui, X.D., Tang, Z.F. and Yun, C.B (2022), "Bolt looseness detection and localization using time reversal signal and neural network techniques", Smart Struct. Syst., 30(4), 397-410. https://doi.org/10.12989/sss.2022.30.4.397.
  6. Gong, J. and Zhi, X.D. (2020), "Earthquake failure mode and collapse fragility of a 1000 kV outgoing line frame considering interactions in the tower line system", Structures, 27, 626-638. https://doi.org/10.1016/j.istruc.2020.06.018.
  7. Jiang, W.Q., Liu, Y.P., Chan, S.L. and Wang, Z.Q. (2017), "Direct analysis of an ultrahigh-voltage lattice transmission tower considering joint effects", J. Struct. Eng., 143(5), 4017009. https://doi.org/10.1061/(ASCE)ST.1943-541X.0001736.
  8. Jiang, W.Q., Wang, Z.Q., Mcclure, G., Wang, G.L. and Geng, J.D. (2011), "Accurate modeling of joint effects in lattice transmission towers", Eng. Struct., 33(5), 1817-1827. https://doi.org/10.1016/j.engstruct.2011.02.022.
  9. Li, C., Pan, H.Y., Tian, L., and Bi, W.Z. (2022), "Lifetime multi-hazard fragility analysis of transmission towers under earthquake and wind considering wind-induced fatigue effect", Struct. Saf., 99, 102266. https://doi.org/10.1016/j.strusafe.2022.102266.
  10. Li, J.X., Cheng, J.P., Zhang, C., Qu, C.X., Zhang, X.H. and Jiang, W.Q. (2023), "Seismic response study of a steel lattice transmission tower considering the hysteresis characteristics of bolt joint slippage", Eng. Struct., 281, 115754. https://doi.org/10.1016/j.engstruct.2023.115754.
  11. Long, X.H., Wang, W. and Fan, J. (2018), "Collapse analysis of transmission tower subjected to earthquake ground motion", Mod. Simul. Eng., 2018, 1-20. https://doi.org/10.1155/2018/2687561.
  12. Ma, L.Y. and Bocchini, P. (2019), "Hysteretic model of single-bolted angle connections for lattice steel towers", J. Eng. Mech., 145(8), 04019052. https://doi.org/10.1061/(ASCE)EM.1943-7889.0001630.
  13. Miguel, L.F.F., Alminhana, F. and Beck, A.T. (2021), "Performance based assessment of transmission lines to seismic events", Eng. Struct. 249, 113298. https://doi.org/10.1016/j.engstruct.2021.113298.
  14. Mokhtari, F. and Imanpour, A. (2023), "A digital twin-based framework for multi-element seismic hybrid simulation of structures", Mech. Syst. Signal Pr., 186, 109909. https://doi.org/10.1016/j.ymssp.2022.109909.
  15. Pham, A.D., Ngo, N.T. and Nguyen, T.K. (2020), "Machine learning for predicting long-term deflections in reinforce concrete flexural structures", J. Comput. Des. Eng., 7(1), 95-106. https://doi.org/10.1016/j.engstruct.2022.115577.
  16. Shu, Q.J., Huang, Z.H., Yuan, G.L., Ma, W.Q., Ye, S. and Zhou, J. (2018), "Impact of wind loads on the resistance capacity of the transmission tower subjected to ground surface deformations", Thin Wall Struct., 131, 619-630. https://doi.org/10.1016/j.tws.2018.07.020.
  17. Shu, Q.J., Yuan, G.L., Huang, Z.H. and Ye, S. (2016), "The behaviour of the power transmission tower subjected to horizontal support's movements", Eng. Struct., 123, 166-180. https://doi.org/10.1016/j.engstruct.2016.05.027.
  18. Tian, L., Ma, R.S., Li, H.N. and Wang, Y. (2016), "Progressive collapse of power transmission tower-line system under extremely strong earthquake excitations", Int. J. Struct. Stab. Dyn., 16(7), 1550030. https://doi.org/10.1142/S0219455415500303.
  19. Tian, L., Pan, H.Y. and Ma, R.S. (2019), "Probabilistic seismic demand model and fragility analysis of transmission tower subjected to near-field ground motions", J. Constr. Steel Res.,156, 266-275. https://doi.org/10.1016/j.jcsr.2019.02.011.
  20. Ungkurapinan, N., Chandrakeerthy, S.R.D., Rajapakse, R.K.N.D. and Yue, S.B. (2003), "Joint slip in steel electric transmission towers", Eng. Struct., 25(6), 779-788. https://doi.org/10.1016/S0141-0296(03)00003-8.
  21. Wang, P., Chen, H.B., Zhang, H.W., Zhou, X. and Ye, Min. (2015), "Effect of bolt joint on the behaviour of transmission tower with non-uniform settlement", Eng. Mech., 32(10), 209-219. https://doi.org/10.6052/j.issn.1000-4750.2014.03.0212.
  22. Yaghoobi, S. and Shooshtari, A. (2018), "Joint slip formulation based on experimental results in wind turbine lattice towers", J. Struct. Eng., 144(6), 04018058. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002023.
  23. Yang, F. (2018), "Impact effect analysis on transmission tower structures with the foundation deformation in mining subsidence areas", J. Vib. Shock, 37(01), 181-186+195. https://doi.org/10.13465/j.cnki.jvs.2018.01.027.
  24. Yang, F.L., Li, Q.H., Yang, J.B. and Zhu, B.R. (2013), "Assessment on the stress state and the maintenance schemes of the transmission tower above goaf of coal mine", Eng. Fail. Anal., 31, 236-247. https://doi.org/10.1016/j.engfailanal.2013.02.001.
  25. Yang, F.L., Yang, J.B., Han, J.K. and Zhang, Z.F. (2009), "Bearing capacity computation of UHV transmission tower with foundation deformation above coaf of goal mine", Proc. CSEE, 29(01), 100-106.
  26. Zhang, H., Guo, Q.Q. and Xu, L.Y. (2023), "Prediction of long-term prestress loss for prestressed concrete cylinder structures using machine learning", Eng. Struct., 279, 115577. https://doi.org/10.1016/j.engstruct.2022.115577.
  27. Zheng, H.D., Fan, J. and Long, X.H. (2017), "Analysis of the seismic collapse of a high-rise power transmission tower structure", J. Constr. Steel Res., 134, 180-193. https://doi.org/10.1016/j.jcsr.2017.03.005.