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Validation of Model-Based Real-Time Hybrid Simulation for a Lightly-Damped and Highly-Nonlinear Structural System | ||
| Journal of Applied and Computational Mechanics | ||
| مقاله 23، دوره 7، Special Issue، شهریور 2021، صفحه 1252-1265 اصل مقاله (3.6 M) | ||
| نوع مقاله: Special Issue Paper | ||
| شناسه دیجیتال (DOI): 10.22055/jacm.2020.32584.2039 | ||
| نویسندگان | ||
| Amirali Najafi* ؛ Billie F. Spencer Jr. | ||
| Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA | ||
| چکیده | ||
| Hybrid simulation (HS) is a cost-effective alternative to shake table testing for evaluating the seismic performance of structures. HS structures are partitioned into linked physical and numerical substructures, with actuators and sensors providing the means for the interaction. Load application in conventional HS is conducted at slow rates and is sufficient when material rate-effects are negligible. Real-time hybrid simulation (RTHS) is a variation of the HS method, where no time-scaling is applied. Despite the recent strides made in RTHS research, the body of literature validating the performance of RTHS, compared to shake table testing, remains limited. In the few available studies, the tested structures and assemblies are linear or modestly nonlinear, and artificial damping is added to the numerical substructure to ensure convergence and stable execution of the simulation. The objective of this study is the validation of a recently proposed model-based RTHS framework, focusing on lightly-damped and highly-nonlinear structural systems; such structures are particularly challenging to consider using RTHS. The boundary condition in the RTHS tests are enforced via displacement and acceleration tracking. The modified Model-Based Control (mMBC) compensator is employed for the tracking action. A two-story steel frame structure with a roof-level track nonlinear energy sink (NES) device is selected due to its light damping, high nonlinearity, and repeatability. The complete structure is first tested on a shaking table, and then substructured and tested via the RTHS method. The model-based RTHS approach is shown to perform similar to the shake table method, even for lightly-damped and highly-nonlinear structures. | ||
| کلیدواژهها | ||
| RTHS validation؛ Shake table testing؛ Model-based control؛ Light damping؛ Nonlinear energy sink device | ||
| مراجع | ||
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[1] Hakuno, M., Shidawara, M., and Hara, T., Dynamic destructive test of a cantilever beam, controled by an analog-computer, Trans. Japan Society of Civil Engineers, 171, 1969, 1–9.
[2] Takanashi, K., Udagawa, K., Seki, M., Okada, T., and Tanaka, T., Non-linear earthquake response analysis of structures by a computer-actuator on-line system (details of the system), Architectural Institute of Japan Transactions, 229, 1975, 77–83.
[3] Mahin, S. A. and Shing, P. B., Pseudodynamic method for seismic testing, Journal of Structural Engineering, 111(7), 1985, 1482–1503.
[4] Saouma, V. et al., Real-Time Hybrid Simulation of a Nonductile Reinforced Concrete Frame, Journal of Structural Engineering, 140(2), 2014, 1–12, doi: 10.1061/(ASCE)ST.
[5] Nakashima, M., Kato, H., and Takaoka, E., Development of real-time pseudo dynamic testing, Earthquake Engineering and Structural Dynamics, 21, 1992, 79–92.
[6] Dimig, J., Shield, C., French, C., Bailey, F., and Clark, A., Effective force testing: a method of seismic simulation for structural testing, Journal of Structural Engineering, 125(9), 1999, 1028–1037.
[7] Horiuchi, T., Nakagawa, M., Sugano, M., and Konno, T., Development of a Real-time Hybrid Experimental System with Actuator Delay Compensation, Proc. of 11th World Conf. Earthquake Engineering, 1996.
[8] Blakeborough, B. A., Williams, M. S., Darby, A. P., and Williams, D. M., The development of real-time substructure testing, Philosophical Transactions of the Royal Society A Mathematical, Physical and Engineering Sciences, 359, 2001, 1869–1891.
[9] Nakata, N. and Stehman, M., Compensation Techniques for Experimental Errors in Real-Time Hybrid Simulation Using Shake Tables, Smart Structures and Systems, 14(6), 2014, 1055–1079.
[10] Shao, X., Reinhorn, A. M., and Sivaselvan, M. V., Real-Time Hybrid Simulation Using Shake Tables and Dynamic Actuators, Journal of Structural Engineering, 137(7), 2011, 748–760.
[11] Carrion, J. E. and Spencer, B. F., Model-based Strategies for Real-time Hybrid Testing, NSEL Report Series, University of Illinois, Report No. NSEL-006, 2007.
[12] Phillips, B. M. and Spencer, B. F., Model-Based Multiactuator Control for Real-Time Hybrid Simulation, Journal of Engineering Mechanics, 139, 2013, 219–228.
[13] Chen, P.-C., Chang, C.-M., Spencer, B. F., and Tsai, K.-C., Adaptive model-based tracking control for real-time hybrid simulation, Bulletin of Earthquake Engineering, 13(6), 2015, 1633–1653.
[14] Zhang, R., Phillips, B. M., Taniguchi, S., Ikenaga, M., and Ikago, K., Shake table real-time hybrid simulation techniques for the performance evaluation of buildings with inter-story isolation, Structural Control and Health Monitoring, 24(10), 2017, 1–19.
[15] Fermandois, G. A. and Spencer, B. F., Model-based framework for multi-axial real-time hybrid simulation testing, Earthquake Engineering and Engineering Vibration, 16(4), 2017, 671–691.
[16] Najafi, A., Fermandois, G. A., and Spencer, Jr., B. F., Model-based real-time hybrid simulation with multi-axial load and boundary condition boxes, Under review, 2020.
[17] Najafi, A. and Spencer, B. F., Adaptive model reference control method for real-time hybrid simulation, Mechanical Systems and Signal Processing, 132, 2019, 183–193.
[18] Silva, C. E., Gomez, D., Maghareh, A., Dyke, S. J., and Spencer Jr., B. F., Benchmark control problem for real-time hybrid simulation, Mechanical Systems and Signal Processing, 135, 2020, 106381.
[19] Ashasi-Sorkhabi, A., Malekghasemi, H., and Mercan, O., Implementation and verification of real-time hybrid simulation (RTHS) using a shake table for research and education, Journal of Vibration and Control, 21(8), 2015, 1459–1472.
[20] Lamarche, C. P., Tremblay, R., Leger, P., Leclerc, M., and Bursi, O. S., Comparison between real-time dynamic substructuring and shake table testing techniques for nonlinear seismic applications, Earthquake Engineering and Structural Dynamics, 39, 2010, 1299–1320.
[21] Najafi, A. and Spencer, B. F., Modified model-based control of shake tables for online acceleration tracking, Earthquake Engineering and Structural Dynamics, 2020, https://doi.org/10.1002/eqe.3326.
[22] Wang, J., Wierschem, N. E., Spencer, B. F., and Lu, X., Experimental Study of Track Nonlinear Energy Sinks for Seismic Reduction, The 5th Tongji-UBC symposium on Earthquake Engineering – Facing Earthquake Challenges Together, Tongji University Shanghai, May 4-8, China, 2015..
[23] Kennedy, J. and Eberhart, R., Particle Swarm Optimization, in Proceedings of the ICNN’05 - Internatinal Conference on Neural Networks, 1995, 1942–1948. | ||
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