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Real Time Hybrid Simulation with Online Model Updating on Highly Nonlinear Device

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Rotating Machinery, Hybrid Test Methods, Vibro-Acoustics & Laser Vibrometry, Volume 8

Abstract

Hybrid Simulation (HS) and Real Time Hybrid Simulation (RTHS) are recognized as powerful techniques for civil infrastructure assessment. Typically in HS/RTHS, a critical component is isolated as the physical component in the simulation, while the remainder of the structure is modeled numerically. This approach enables response evaluation on both local and global level. Broadening the applications that would like to use HS and RTHS requires that we examine more complex structural systems. When multiple components in the structural system have the same design and contribute roughly equally to the response, it may be difficult to select the most appropriate physical component. However, modeling errors in those structural components that reside in the numerical component can influence the accuracy of the global responses. Model updating based on the responses of the physical component for determining the model parameters will reduce the influence of the modeling errors. Advances in online system identification techniques and their application to more complex structural models, enables the option of incorporating online model updating into HS/RTHS. Through a simplified case study, we explore the feasibility of HS/RTHS with model updating (HSMU/RTHSMU). A two story steel frame equipped with two identical magnetic-rheological (MR) dampers. In RTHS, the first story MR damper is loaded as the physical component and the remainder of the structure, including the frame and the second MR damper, is numerically modeled. Simulation and conventional RTHS response are considered. In each case the second story MR damper model uses one initial parameter set, which is then updated online using identified parameters based on the physical component (RTHSMU). Online model updating is then investigated using a validation signal, and the fidelity and advantages of RTHSMU are discussed.

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References

  1. Chen, C., Ricles, J.M.: Analysis of actuator delay compensation method for realtime testing. Eng. Struct. 31(11), 2643–2655 (2009)

    Article  Google Scholar 

  2. Phillips, B., Spencer, B. Jr.: Model-based feedforward-feedback actuator control for real-time hybrid simulation. J. Struct. Eng. 139, SPECIAL ISSUE: NEES 1: Advances in Earthquake Engineering, 1205–1214 (2013)

    Google Scholar 

  3. Ou, G., Ozdagli, A.I., Dyke, S.J., Wu, B.: Robust integrated actuator control: experimental verification and real time hybrid simulation implementation. Earthq. Eng. Struct. Dyn. 44(3), 441–460 (2015)

    Article  Google Scholar 

  4. Hashemi, M., Mosqueda, G.: Hybrid simulation of 4 story frame to collapse using 1.5 story substructure. Network for Earthquake Engineering Simulation (distributor), Dataset (2014). doi:10.4231/D3F18SG1T

  5. Hashemi, M.J., Mosqueda, G.: Innovative substructuring technique for hybrid simulation of multistory buildings through collapse. Earthq. Eng. Struct. Dyn. 43(14), 2059–2074 (2014)

    Article  Google Scholar 

  6. Gomez, G., Dyke, S.J., Maghareh, A.: Enabling role of hybrid simulation across NEES in advancing earthquake engineering. Smart Struct. Syst. 15(3), 913–929 (2014)

    Article  Google Scholar 

  7. Christenson, R., Lin, Y., Emmons, A., Bass, B.: Large-scale experimental verification of semiactive control through real-time hybrid simulation. J. Struct. Eng. 134(4), 522–534 (2008)

    Article  Google Scholar 

  8. Zapateiro, M., Karimi, H.R., Luo, N., Spencer, B.F.: Real-time hybrid testing of semiactive control strategies for vibration reduction in a structure with MR damper. Struct. Control Health Monit. 17, 427–451 (2010). doi:10.1002/stc.321

    Google Scholar 

  9. Friedman, A., Dyke, S., Phillips, B., Ahn, R., Dong, B., Chae, Y., Castaneda, N., Jiang, Z., Zhang, J., Cha, Y., Ozdagli, A., Spencer, B., Ricles, J., Christenson, R., Agrawal, A., Sause, R.: Large-scale real-time hybrid simulation for evaluation of advanced damping system performance. J. Struct. Eng. 141(6), 04014150 (2015)

    Article  Google Scholar 

  10. Wu, M., Smyth, A.: Real-time parameter estimation for degrading and pinching hysteretic models. Int. J. Non-Linear Mech. 43(9), 822–833 (2008)

    Article  Google Scholar 

  11. Song, W., Dyke, S.J.: Real-time dynamic model updating of a hysteretic structural system. J. Struct. Eng. 140(3), 04013082 (2013)

    Article  Google Scholar 

  12. Song, W.: Dynamic model updating with applications in structural and damping systems: from linear to nonlinear, from offline to real time. Doctorate Dissertation, Purdue University (2011)

    Google Scholar 

  13. Kwon, O.S., Kammula, V.: Model updating method for substructure pseudo-dynamic hybrid simulation. Earthq. Eng. Struct. Dyn. 134(42), 1971–1984 (2013)

    Article  Google Scholar 

  14. Shao, X., Mueller, A., Mohammed, B.: Real-time hybrid simulation with online model updating: methodology and implementation. J. Eng. Mech. 04015074 (2015). doi:10.1061/(ASCE)EM.1943-7889.0000987

    Google Scholar 

  15. Wu, B., Wang, T.: Model updating with constrained unscented Kalman filter for hybrid testing. Smart Struct. Syst. 1105–1129 (2014). doi:10.12989/sss.2014.14.6.1105

    Google Scholar 

  16. Ou, G. Ozdagli, A.I., Dyke, S. J., Prakash A.: RTHS with concurrent model updating on a distributed platform. In: Proceedings of the 6AESE/11ANCRiSST Conference, Urbana-Champaign, IL (2015)

    Google Scholar 

  17. Spencer Jr., B., Dyke, S., Sain, M., Carlson, J.: Phenomenological model for magnetorheological dampers. J. Eng. Mech. 123(3), 230–238 (1997)

    Article  Google Scholar 

  18. Ou, G. Ozdagli, S. J., Prakash A.: Real time hybrid simulation with online model updating: an accuracy analysis. Special Issue of Mechanical Systems and Signal Processing on Nonlinear System Identification (in review) (2015)

    Google Scholar 

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Acknowledgement

This material is based upon work supported in the past by the National Science Foundation under Grant No. CMMI 0927178, CNS 1136075.

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Correspondence to Ge Ou .

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© 2016 The Society for Experimental Mechanics, Inc.

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Ou, G., Dyke, S.J. (2016). Real Time Hybrid Simulation with Online Model Updating on Highly Nonlinear Device. In: De Clerck, J., Epp, D. (eds) Rotating Machinery, Hybrid Test Methods, Vibro-Acoustics & Laser Vibrometry, Volume 8. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-30084-9_32

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  • DOI: https://doi.org/10.1007/978-3-319-30084-9_32

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