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Use of active control algorithm for optimal design of base-isolated buildings against earthquakes

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Abstract

This study presents a new design method that concurrently determines the stiffness and damping coefficient in a base isolation system. This design method is developed based on the similarity between the active and passive control system. Then, the stiffness and damping coefficient are derived from the linear quadratic regulator control algorithm to a single degree of freedom superstructure and formed as a function of single weighting. The best design of a base isolation system is determined by optimizing this weighting from the minimum H-norm responses of base displacement and roof acceleration. A parametric study is performed to understand the influence of superstructures to the resulting optimized base isolation system. Moreover, this study also provides a numerical example to validate the optimal design of base isolation systems. The potential to design nonlinear lead-rubber bearings with added viscous dampers based on the proposed method is also investigated. As a result, the proposed method yields a high-performance base isolation system for a known superstructure.

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Acknowledgements

This research is supported by the Ministry of Science and Technology in Taiwan under Grant No. MOST 106-2221-E-002-048-MY2.

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Correspondence to Chia-Ming Chang.

Appendix

Appendix

1.1 Design of Lead-Rubber Bearings

Each type of base isolation system are assumed to comprise of four LRBs. These LRBs are modeled by a bilinear hysteretic loop as illustrated in Appendix Fig. 11. In the LRB modelling, a maximum displacement D2 should be determined in advance. The preyield to postyield stiffness ratio α is fixed to 13, while the equivalent damping ratio ζb is up to 5%. The equivalent stiffness in this modelling is identical to the designed stiffness k1. If the designed damping coefficient c1 exceeds \( {\overline{c}}_1 \) that the LRBs can provide, the remaining damping coefficient (i.e., \( {c}_1-{\overline{c}}_1 \)) is realized by viscous dampers. Therefore, the preyield stiffness Ku and postyield stiffness Kd are determined by

$$ {\displaystyle \begin{array}{l}{K}_d=\frac{k_1{D}_2}{n_{\mathrm{iso}}\left({D}_2-\left(1-\alpha \right){D}_1\right)},{K}_u=\alpha {K}_d\\ {}{\zeta}_b=\frac{{\overline{c}}_1}{2\sqrt{k_1\left({m}_1+{m}_2\right)}}=\frac{4Q\left({D}_2-{D}_1\right){n}_{\mathrm{iso}}}{2\pi {k}_1{D}_2}\le 5\%,{\overline{c}}_1\le {c}_1\end{array}} $$
(18)

where niso is the number of LRBs used in a base isolation system. Note that (18) would result in two sets of parameters, and this study selects the set with a smaller D1. This LRB model with D2 = 0.15 m is then employed to perform nonlinear dynamic analysis. The LRBs used in these four types of isolation systems are listed in Appendix Table 2.

Fig. 11
figure 11

Illustration of bilinear hysteretic model for modelling of lead-rubber bearing

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Chang, CM., Shia, S. & Yang, CY. Use of active control algorithm for optimal design of base-isolated buildings against earthquakes. Struct Multidisc Optim 58, 613–626 (2018). https://doi.org/10.1007/s00158-018-1913-7

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