Structural Damage Control Using Neuro-Ga Algorithm

Document Type : پژوهشی

Authors

• Abbas Karamodin
• Saeed Khajekaramodin

Ferdowsi University of Mashhad.

10.22067/civil.v29i1.33759

Abstract

In this paper a semi-active structural damage control strategy using MR dampers and Neural Networks is presented. A multilayer feed-forward neural network has been designed. The input layer is relative displacement of stories and the output layer is the voltage needed for MR damper. The neural network is learned to predict the voltage needed for MR damper that can minimize the Park & Ang damage index of structure. Genetic algorithm has been used to learn the neural network. The Park & Ang damage index of the structure has been used as the fittnees function of the genetic algorithm. To evaluate the structural control system a nonlinear 3 story benchmark building has been selected. The results show the the proposed structural control system can effectively reduce the Park & Ang damage index of the structure.

Keywords

• Structure
• Earthquake
• Damage, Control
• Semi-Active
• Neural Network
• Genetic algorithm

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References

Kobori, T., and Minai, R., "Analysis of structural control systems: study on response-controlled structure 1", Trans. AIJ 66, pp. 257-260, (1960).

2. Kobori, T., "Quake resistent and nonlinear problems of structural vibration to violent earthquake", J. Kyoto University Disaster Prevention Laboratory, 5th Anniversity Edition, pp. 116-124, (1956).

3. Kobori, T., and Minai, R., "Analysis of structural control systems: study on response-controlled structures 2", Trans. AIJ 66, pp. 253-256, (1960).

4. Abdel-Rohman, M., and Leipholz, H. H., "General approach to active strucrural control", Journal of the Engineering Mechanics Division, Vol. 105, pp. 1007-1023, (1979).

5. Abdel-Rohman, M., and Leipholz, H. H., "Automatic active Control of structures", Journal of the Structural Division, Vol. 106, pp. 663-677, (1980).

6. Abdel-Rohman, M., and Leipholz, H. H., "Stochastic control of strctures", Journal of the Structural Division, Vol. 107, pp. 1313-1325, (1981).

7. Zuk, W., "The past and future of structural control systems", Structural Control, pp. 779-794, (1980).

8. Soong, T. T., "Active structural control: Theory and Practice", John Wiley and Sons, (1990).

9. Nordel, W. J., "Active systems for elastic-resistant structures", Naval Civil engineering Laboratory, (1969).

10. Yao, J. T. P., "Concept of structural Control", Journal of Structutal Division, Vol. 98, pp. 1567-1574, (1972).

11. Nikzad, K., Ghaboussi, J., and Stanley, L. P., "Actuator Dynamics and delay compensation using neurocontrollers", Journal of Engineering Mechanics, Vol. 122, pp. 966-975, (1996).

12. Ghaboussi , J., and Joghataie, A., "Active Control of strustures using Neural networks", Journal of Engineering Mechanics, Vol. 121, No. 4, pp. 555-567, (1995).

13. Bani-Hani, K., and Ghaboussi, J., "Neural Networks for Structural Control of a Benchmark Problem, Active Tendon System", Earthquake Engineering and Structural Dynamics, Vol. 27, pp. 1225-1245, (1998).

14. Chen, H. M., Tsai, K. H., Qi, G. Z., Yang, J. C. S., and Amini, F., "Neural Network For sStructure Control", Journal of Computing in Civil Engineering, Vol. 9, No. 2, pp. 168-176, (1995).

15. Adeli, H., "Neural Networks in Civil Engineering: 1989-2000", Computer-Aided Civil and Infrastructure Engineering, Vol. 16, pp. 126-142, (2001).

16. Sahoo, B., and Maity, D., "Damage Assesment of structure using hybrid neuro-genetic algorithm", Applied Soft Computing, Vol. 7, pp. 89-104, (2007).

17. Jiang, X., and Adeli, H., "Neuro-Genetic Algorithm for nonlinear active control of structures", International Journal for Numerical Methods in Engineering, Vol. 75, pp. 770-786, (2008).

18. Kim, D.H., Seo, S. N., Lee, I. W., "Optimal Neurocontroller for nonlinear Benchmark Structure", Journal Of Engineering Mechanics, Vol. 130, No. 4, pp. 424-429, (2004).

19. Ohtori, Y., Christenson, R. E., Spencer, B. F. J., and Dyke, S. J., "Benchmark Control problem for seismically excited nonlinear building", Journal of Eng. Mech., Vol. 130, No. 4, pp. 366-385, (2004).

20. Dyke, S. J., Yi, F., and Carlson, J. D., "Application of magnetorheological dampers to seismically excited structures", in Proc., Int. Modal Anal. Conf., Bethel, Conn, (1999).

21. Spencer, B. F., Dyke, S. J., Sain, M. K., and Carlson, J. D., "Phenomenological model of magnetorheological damper", Journal of Engineering Mechanics, ASCE, Vol. 123, No. 3, pp. 230-238, (1997).

22. Park, Y. J., and Ang, A. H.-S., "Mechanistic seismic Damage Model for reinforced Concrete", ASCE Journal of Structure Engineering, Vol. 111, No. 4, pp. 722-739, 1985.

23. کرم‌الدین، عباس، "کنترل خسارت سازه‌ها به‌کمک الگوریتم ژنتیک– فازی"، دانشگاه فردوسی، مشهد، (1388).