Performance-based control co-design of building structures with controlled rocking steel braced frames via neural dynamic model

Hormozabad, Sajad Javadinasab; Soto, Mariantonieta Gutierrez

doi:10.1007/s00158-021-02902-6

Cited by 11 publications

(1 citation statement)

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“…Accordingly, the proper design parameters need to be adjusted for minimizing the MF displacement. Although a few research have been conducted for reliability and optimization analyses of self-centering systems (Hashemi et al, 2021; Hormozabad and Soto, 2021; Rahgozar et al, 2021a, 2021b), there is a lack of practical design and optimization research for VI-RCMFs. It is worth noting that the design parameters of VI-RCMFs cannot readily be optimized by analytical formula due to their complex and nonlinear responses.…”

Section: Introductionmentioning

confidence: 99%

Structural optimization of vertical isolated rocking core-moment frames

Rahgozar

Pouraminian

2022

Journal of Vibration and Control

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Dual earthquake-resistant archetypes suffer residual damage following a severe earthquake leading to socio-economic drawbacks. A vertical isolated rocking core-moment frame (VI-RCMF) provides a resilience technique to curtail the seismic vulnerability using the isolation of subsystems. Viscous dampers, installed at each floor level of the VI-RCMF archetype, separate moment frame (MF) from rocking-core (RC). The self-centering RC performs as a passive strong-back core, which can uplift on its toes. Although the VI-RCMFs have exhibited superior performance compared to non-isolated dual frames, there are analytical challenges to come up with the optimal design due to the complex interaction of subsystems. This paper presents an optimization framework for quantifying the optimal design parameters of VI-RCMFs. Accordingly, the simultaneous perturbation stochastic approximation (SPSA) method is employed as the optimization algorithm. The objective function is defined to minimize the displacement of MF and the design vector includes mass, stiffness, and damping ratios. The SPSA optimization analyses are conducted for a set of archetypes using OpenSees software. Optimal normalized responses of subsystems are computed for 44 far-field ground motions and aleatory uncertainties are quantified for optimal design variables. The results demonstrate the effectiveness of the proposed procedure for optimizing VI-RCMFs. The derived optimal design vector can be used for the preliminary design of low-to mid-rise archetypes.

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