Reliability-based optimal design of nonlinear viscous dampers for the seismic protection of structural systems

被引:0
作者
Domenico Altieri
Enrico Tubaldi
Marco De Angelis
Edoardo Patelli
Andrea Dall’Asta
机构
[1] University of Liverpool,Institute for Risk and Uncertainty
[2] Imperial College London,School of Architecture and Design
[3] University of Camerino,undefined
来源
Bulletin of Earthquake Engineering | 2018年 / 16卷
关键词
Structural optimization; Reliability-based design; Viscous dampers; Stochastic seismic model; Subset simulation; Performance-based engineering;
D O I
暂无
中图分类号
学科分类号
摘要
Viscous dampers are widely employed for enhancing the seismic performance of structural systems, and their design is often carried out using simplified approaches to account for the uncertainty in the seismic input. This paper introduces a novel and rigorous approach that allows to explicitly consider the variability of the intensity and characteristics of the seismic input in designing the optimal viscous constant and velocity exponent of the dampers based on performance-based criteria. The optimal solution permits controlling the probability of structural failure, while minimizing the damper cost, related to the sum of the damper forces. The solution to the optimization problem is efficiently sought via the constrained optimization by linear approximation (COBYLA) method, while Subset simulation together with auxiliary response method are employed for the performance assessment at each iteration of the optimization process. A 3-storey steel moment-resisting building frame is considered to illustrate the application of the proposed design methodology and to evaluate and compare the performances that can be achieved with different damper nonlinearity levels. Comparisons are also made with the results obtained by applying simplifying approaches, often employed in design practice, as those aiming to minimize the sum of the viscous damping constant and/or considering a single hazard level for the performance assessment.
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页码:963 / 982
页数:19
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