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Computationally Efficient Control Design for a Smart Structure with Uncertainty
Optimal structural control design for controllable passive dampers is difficult and computationally expensive. Even with a linear structure, the controlled system is nonlinear since the control appears parametrically and the damper can only exert dissipative forces. The authors previously introduced a novel method based on a low-order, nonlinear, Volterra integral equation (NVIE) that provides a computationally efficient means to simulate responses for such systems. Thus far, the authors have considered deterministic models with semiactive control devices; however, uncertainties in key structural elements cannot be neglected in real-world systems and may intensify the computational burden, generally demanding a Monte Carlo simulation to characterize the effects of uncertainty. Herein, a 100-degree-of-freedom, isolated building model with a controllable damper in the isolation is studied with uncertainty in the isolation rubber bearing stiffness and damping. Numerical results confirm the accuracy, stability, and computational efficiency of the proposed simulation methodology.
Computationally Efficient Control Design for a Smart Structure with Uncertainty
Optimal structural control design for controllable passive dampers is difficult and computationally expensive. Even with a linear structure, the controlled system is nonlinear since the control appears parametrically and the damper can only exert dissipative forces. The authors previously introduced a novel method based on a low-order, nonlinear, Volterra integral equation (NVIE) that provides a computationally efficient means to simulate responses for such systems. Thus far, the authors have considered deterministic models with semiactive control devices; however, uncertainties in key structural elements cannot be neglected in real-world systems and may intensify the computational burden, generally demanding a Monte Carlo simulation to characterize the effects of uncertainty. Herein, a 100-degree-of-freedom, isolated building model with a controllable damper in the isolation is studied with uncertainty in the isolation rubber bearing stiffness and damping. Numerical results confirm the accuracy, stability, and computational efficiency of the proposed simulation methodology.
Computationally Efficient Control Design for a Smart Structure with Uncertainty
Kamalzare, M. (author) / Johnson, E. A. (author) / Wojtkiewicz, S. F. (author)
ASCE International Workshop on Computing in Civil Engineering ; 2013 ; Los Angeles, California
2013-06-24
Conference paper
Electronic Resource
English
Computationally Efficient Control Design for a Smart Structure with Uncertainty
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