Structural Engineering and Mechanics

  • 제79권2호
  • /
  • Pages.131-139
  • /
  • 2021
  • /
  • 1225-4568(pISSN)
  • /
  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Smart structural control and analysis for earthquake excited building with evolutionary design

  • Chen, Z.Y. (School of Science, Guangdong University of Petrochem Technology) ;
  • Wang, Ruei-yuan (School of Science, Guangdong University of Petrochem Technology) ;
  • Meng, Yahui (School of Science, Guangdong University of Petrochem Technology) ;
  • Fu, Qiuli (School of Computer Science, Guangdong University of Petrochem Technology) ;
  • Chen, Timothy (Division of Engineering and Applied Science, California Institute of Technology)
  • 투고 : 2020.05.29
  • 심사 : 2021.04.20
  • 발행 : 2021.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

In recent years, with the maximization of control design and efficiency, and the improvement of economy and energy efficiency, building technology and control in the theory have attracted the attention of lots researchers. By trying various control theorems, many numerical methods have been investigated in the literature to achieve this target, but all these numerical methods are difficult to work out the problem correctly. This paper puts forward a potentially feasible evolutionary bat algorithm (EB) method for active control of earthquake-induced vibration in building structures. Based disturbance observer based control and S surface combined with the robust adaptive control scheme for solving optimization problems proposed, an important contribution in the control law is what the configuration control in the present study should not require known uncertainty limits and the disturbance is eliminated. A simulation case study was proposed to illustrate the possibility of implementing an apparent learning method in ANN to effectively control structural vibration under the influence of systematic motion under earthquake citations. The proposed learning numerical methods does not need to develop a mathematical model of structural dynamics or train another neural network to approximate the actual structural response to be performed.

키워드

과제정보

The authors are grateful for the research grants given to Yahui Meng from the Provincial key platforms and major scientific research projects of universities in Guangdong Province, Peoples R China under Grant No. 2017GXJK116 and Guangdong Provincial Higher Education Association Laboratory Management Professional Committee Foundation, Peoples R China under Grant No. GDJ2016048.

참고문헌

  1. Adeli, H. and Jiang, X.M. (2006), "Dynamic fuzzy wavelet neural network model for structural system identification", J. Struct. Eng., ASCE, 132(1), 102-111. https://doi.org/10.1061/(ASCE)0733-9445(2006)132:1(102).
  2. Adeli, H. and Kim, H. (2004), "Wavelet-hybrid feedback-least mean square algorithm for robust control of structures", J. Struct. Eng., ASCE, 130(2), 128-137. https://doi.org/10.1061/(ASCE)0733-9445(2004)130:1(128).
  3. Bedirhanoglu, I. (2014), "A practical neuro-fuzzy model for estimating modulus of elasticity of concrete", Struct. Eng. Mech., 51(2), 249-265. https://doi.org/10.12989/sem.2014.51.2.249.
  4. Chen, C.W. (2014), "A criterion of robustness intelligent nonlinear control for multiple time-delay systems based on fuzzy Lyapunov methods", Nonlin. Dyn., 76, 23-31. https://doi.org/10.1007/s11071-013-0869-9.
  5. Chen, C.W. (2014), "Interconnected TS fuzzy technique for nonlinear time-delay structural systems", Nonlin. Dyn., 76, 13-22. https://doi.org/10.1007/s11071-013-0841-8.
  6. Chen, T. (2020), "An intelligent algorithm optimum for building design of fuzzy structures", Iran. J. Sci. Technol., Tran. Civil Eng., 44, 523-531. https://doi.org/10.1007/s40996-019-00251-5.
  7. Chen, T. (2020), "Evolved fuzzy NN control for discrete-time nonlinear systems", J. Circuit. Syst. Comput., 29(1), 2050015. https://doi.org/10.1142/S0218126620500152.
  8. Chen, T. (2020), "LMI based criterion for reinforced concrete frame structures", Adv. Concrete Constr., 9(4), 407-412. https://doi.org/10.12989/acc.2020.9.4.407.
  9. Chen, T. (2020), "On the algorithmic stability of optimal control with derivative operators", Circuit. Syst. Signal Pr., 39(12), 5863-5881. https://doi.org/10.1007/s00034-020-01447-1.
  10. Chen, T. (2021), "Evolved auxiliary controller with applications to aerospace", Aircraft Eng. Aerosp. Technol., 93(4), 529-543. https://doi.org/10.1108/AEAT-12-2019-0233.
  11. Chen, T. (2021), "Fuzzy C-means robust algorithm for nonlinear systems", Soft Comput., 25(11), 7297-7305. https://doi.org/10.1007/s00500-021-05655-y.
  12. Chen, T. (2021), "Optimized AI controller for reinforced concrete frame structures under earthquake excitation", Adv. Concrete Constr., 11(1), 1-9. https://doi.org/10.12989/acc.2021.11.1.001.
  13. Chen, T. (2021), "Smart structural stability and NN based intelligent control for nonlinear systems", Smart Struct. Syst., 27(6), 917-926. https://doi.org/10.12989/sss.2021.27.6.917.
  14. Chen, T. (2021), "Wind vibration control of stay cables using an evolutionary algorithm", Wind Struct., 32(1), 73-86. https://doi.org/10.12989/was.2021.32.1.073.
  15. Chen, Z.Y. (2021), "Grey signal predictor and evolved control for practical nonlinear mechanical systems", J. Grey Syst., 33(1), 156-170.
  16. Choi, B.J., Kwak, S.W. and Kim, B.K. (2000), "Design and stability analysis of single-input fuzzy logic controller", IEEE Tran. Syst. Man Cybernet., Part B (Cyber.), 30(2), 303-309. https://doi.org/10.1109/3477.836378.
  17. Connor, J.J. (2003), Introduction to Structural Motion Control, Prentice-Hall, Upper Saddle River, NJ.
  18. Fossen, T.I. (1994), Guidance and Control of Ocean Vehicles, John Wiley and Sons.
  19. Gauthier, D.J., Sukow, D.W., Concannon, H.M. and Socolar, J.E.S. (1994), "Stabilizing unstable periodic orbits in a fast diode resonator using continuous time-delay autosynchronization", Phys. Rev. E, 50, 2343-2346. https://doi.org/10.1103/PhysRevE.50.2343.
  20. Jiang, X.M. and Adeli, H. (2005), "Dynamic wavelet neural network for nonlinear identification of highrise buildings", Comput. Aid. Civil Infrastr. Eng., 20(5), 316-330. https://doi.org/10.1111/j.1467-8667.2005.00399.x.
  21. Kalman, R.E. (1963), New Methods in Wiener Filtering Theory, Eds. J.L. Bogdanoff and F. Kozin, Proceedings of the First Symposium on Engineering Applications of Random Function Theory and Probability, John Wiley & Sons, New York.
  22. Kapitaniak, T., Kocarev, LJ. and Chua, L.O. (1993), "Controlling chaos without feedback and control signals", Int. J. Bifurcation Chaos, 3, 459-468. https://doi.org/10.1142/S0218127493000362.
  23. Katebi, J., Shoaei-parchin, M., Shariati, M., Trung, N.T. and Khorami, M. (2019), "Developed comparative analysis of metaheuristic optimization algorithms for optimal active control of structures", Eng. Comput., 1-20. https://doi.org/10.1007/s00366-019-00780-7.
  24. Kayabekir, A.E., Bekdas, G., Nigdeli, S.M. and Geem, Z.W. (2020), "Optimum design of PID controlled active tuned mass damper via modified harmony search", Appl. Sci., 10(8), 2976. https://doi.org/10.3390/app10082976.
  25. Kim, H. and Adeli, H. (2004), "Hybrid feedback-least mean square algorithm for structural control", J. Struct. Eng., ASCE, 130(2), 120-127. https://doi.org/10.3390/app10082976.
  26. Kmet, S. (2004), "Non-linear rheology of tension structural element under single and variable loading history part I. Theoretical derivations", Struct. Eng. Mech., 18(5), 564-588. https://doi.org/10.12989/sem.2004.18.5.564.
  27. Levant, A. (1998), "Robust exact differentiation via sliding mode technique", Automatica, 34(3), 379-384. https://doi.org/10.1016/S0005-1098(97)00209-4.
  28. Londhe, P.S., Santhakumar, M., Patre, B.M. and Waghmare, L.M. (2017), "Task space control of an autonomous underwater vehicle manipulator system by robust single-input fuzzy logic control scheme", IEEE J. Ocean. Eng., 42(1), 13-28. https://doi.org/10.1109/JOE.2016.2548820.
  29. Lu, L.T., Chiang, W.L. and Tang, J.P. (1998), "LQG/LTR control methodology in active structure control", J. Eng. Mech., ASCE, 124(4), 446-454. https://doi.org/10.1061/(ASCE)0733-9399(1998)124:4(446).
  30. Maciejowski, J.M. (1989), Multivariable Feedback Design, Chapter 5, Addition-Wesley Publishing Co..
  31. Moore, B.C. (1981), "Principal component analysis in linear systems: controllability, observability, and model reduction", IEEE Tran. Auto. Control, 26, 17-31. https://doi.org/10.1109/TAC.1981.1102568.
  32. Shariatmadar, H. and Razavi, H.M. (2014), "Seismic control response of structures using an ATMD with fuzzy logic controller and PSO method", Struct. Eng. Mech., 51(4), 547-564. https://doi.org/10.12989/sem.2014.51.4.547.
  33. Son, L., Bur, M., Rusli, M. and Adriyan, A. (2016), "Design of double dynamic vibration absorbers for reduction of two DOF vibration system", Struct. Eng. Mech., 57(1), 161-178. https://doi.org/10.12989/sem.2016.57.1.161.
  34. Stein, G. and Athans M., (1987), "The LQG/LTR procedure for multivariable feedback control design", IEEE Tran. Auto. Control, 32(2), 105-114. https://doi.org/10.1109/TAC.1987.1104550.
  35. Steinberg, A.M. and Kadushin, I. (1973), "Stabilization of nonlinear systems with dither control", J. Math. Anal. Appl., 43, 273-284. https://doi.org/10.1016/0022-247X(73)90275-8.
  36. Tsai, P.W., Hayat, T., Ahmad, B. and Chen, C.W. (2015), "Structural system simulation and control via NN based fuzzy model", Struct. Eng. Mech., 56(3), 385-407. https://doi.org/10.12989/sem.2015.56.3.385.
  37. Tsai, P.W., Pan, J.S., Liao, B.Y., Tsai, M.J. and Istanda, V. (2012), "Bat algorithm inspired algorithm for solving numerical optimization problems", Appl. Mech. Mater., 148, 134-137. https://doi.org/10.4028/www.scientific.net/AMM.148-149.134.
  38. Ulusoy, S., Bekdas, G. and Nigdeli, S.M. (2020), "Active structural control via metaheuristic algorithms considering soil-structure interaction", Struct. Eng. Mech., 75(2), 175-191. https://doi.org/10.12989/sem.2020.75.2.175.
  39. Ulusoy, S., Nigdeli, S.M. and Bekdas, G. (2020), "Novel metaheuristic-based tuning of PID controllers for seismic structures and verification of robustness", J. Build. Eng., 33, 101647. https://doi.org/10.1016/j.jobe.2020.101647.
  40. Wang, H.O. and Abed, E.H. (1995), "Bifurcation control of a chaotic system", Automatica, 31, 1213-1226. https://doi.org/10.1016/0005-1098(94)00146-A.
  41. Wang, H.O., Tanaka, K. and Griffin, M.F. (1996), "An approach to fuzzy control of nonlinear systems: stability and design issues", IEEE Tran. Fuzzy Syst., 4, 14-23. https://doi.org/10.1109/91.481841.
  42. Yang, J.N., Wu, J.C., Samali, B. and Agrawal, A.K. (1998), "A benchmark problem for response control of wind-excited tall buildings", Proc. 2nd world Conference on Structural Control, Vol. 2, New York.
  43. Zames, G. and Shneydor, N.A. (1976), "Dither in nonlinear systems", IEEE Tran. Automat. Control, 21, 660-667. https://doi.org/10.1109/TAC.1976.1101357.
  44. Zames, G. and Shneydor, N.A. (1977), "Structural stabilization on quenching by dither in nonlinear systems", IEEE Tran. Automat. Control, 22, 353-361. https://doi.org/10.1109/TAC.1977.1101504.
  45. Zhang, Y. (2015), "A fuzzy residual strength based fatigue life prediction method", Struct. Eng. Mech., 56(2), 201-221. https://doi.org/10.12989/sem.2015.56.2.201
  46. Zhou, X., Lin, Y. and Gu, M. (2015), "Optimization of multiple tuned mass dampers for large-span roof structures subjected to wind loads", Wind Struct., 20(3), 363-388. https://doi.org/10.12989/was.2015.20.3.363