On the reliability-based design of structures including passive energy dissipation systems

Jensen, Héctor A.; Sepulveda, Juan G.

doi:10.1016/j.strusafe.2011.09.005

Cited by 31 publications

(9 citation statements)

References 25 publications

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“…This Bull Earthquake Eng (2018) 16:963-982 965 problem can be cast in the form of an RBDO problem (Patelli and De Angelis 2012;Schueller and Jensen 2008;Jensen and Sepulveda 2012;Beck et al 2014), aiming at identifying the optimal damper properties which minimize the dampers cost while satisfying the stochastic constraints on the probability of exceeding a prescribed global damage level. Finally, additional constraints are needed to ensure that the values assumed by the design variables are physically admissible.…”

Section: Reliability Based Design Optimization Problem Formulationmentioning

confidence: 99%

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

Altieri

Tubaldi

Angelis

et al. 2017

Bull Earthquake Eng

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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

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Section: Reliability Based Design Optimization Problem Formulationmentioning

confidence: 99%

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

Altieri

Tubaldi

Angelis

et al. 2017

Bull Earthquake Eng

View full text Add to dashboard Cite

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“…However, their analysis focuses only on the mean response under a set of seismic records with a given intensity, thus disregarding the uncertainty of the response due to record-to-record variability effects. Jensen et al (2009Jensen et al ( , 2011 [29,30] and Taflanidis and Beck (2009) [31] proposed two reliability-based design methodologies for the optimal sizing of passive energy dissipation systems for the seismic protection of structures. These methodologies are based on the evaluation of the sensitivity of the reliability of the system with respect to the damper design parameters, an information that can be used to understand how damper parameter variations in the neighborhood of the design values affect the risk estimate.…”

Section: Introductionmentioning

confidence: 99%

“…Infrastruct Eng 2013;9:[28][29][30][31][32][33][34][35][36][37][38][39][40][41]. doi:10.1080/15732479.2010.513713.…”

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Seismic risk sensitivity of structures equipped with anti-seismic devices with uncertain properties

2019

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Damping and isolation devices are often employed to control and enhance the seismic performance of structural systems. However, the effectiveness of these devices in mitigating the seismic risk may be significantly affected by manufacturing tolerances, and systems equipped with devices whose properties deviate from the nominal ones may exhibit a performance very different than expected. The paper analyzes this problem by proposing a general framework for investigating the sensitivity of the seismic risk of structural systems with respect to system properties varying in a prescribed range. The proposed framework is based on the solution of a reliability-based optimization (RBO) problem, aimed to search for the worst combination of the uncertain anti-seismic device parameters, within the allowed range of variation, that maximizes the seismic demand hazard. A hybrid probabilistic approach is employed to speed up the reliability analyses required for evaluating the objective function at each iteration of the RBO process. This approach combines a conditional method for estimating the seismic demand at a given intensity level, with a simulation approach for representing the seismic hazard. The proposed method is applied to evaluate the influence of the variability of the properties of linear and nonlinear fluid viscous dampers on the seismic risk of a low-rise steel building. The study results show that the various response parameters considered are differently affected by the damper property and unveil the capability of the proposed approach to evaluate the potentially worst conditions that jeopardize the system reliability.

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“…One of the challenges in the design of active structural control systems is the explicit consideration of uncertainty about the potential variability of future excitations . Input time delay is the other source of uncertainty that can be initiated from actuators' dynamics, processing time, or data delivery time via networks …”

Section: Introductionmentioning

confidence: 99%

“…[4][5][6][7][8][9][10][11] One of the challenges in the design of active structural control systems is the explicit consideration of uncertainty about the potential variability of future excitations. 12 Input time delay is the other source of uncertainty that can be initiated from actuators' dynamics, processing time, or data delivery time via networks. 13 Robust control, as a typical approach to tackle uncertainties, has been examined in several active structural control works.…”

Section: Introductionmentioning

confidence: 99%

Online control of an active seismic system via reinforcement learning

Khalatbarisoltani

Soleymani

Khodadadi

2018

Struct Control Health Monit

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Summary Tuning the seismic control systems in order to achieve optimal performance is a challenging area due to the system and disturbance uncertainties. Although, model uncertainties, process time delay, and actuator dynamics can be considered as typical uncertainties, the main source of uncertainty in a seismic control system comes from the aleatory nature of earthquake disturbances. In this case, tuning of the control system based on a given seismic record may not necessarily result in optimal performance for other earthquakes. In this paper, a methodological approach is proposed for online control of active structural control systems considering seismic uncertainties. For this purpose, the concept of reinforcement learning is utilized for online tuning of an active mass drive system. The controller comprises a gain‐scheduling fuzzy proportional derivative controller whose gains are tuned via an online reinforcement learning algorithm. Moreover, in order to tackle the time delays, a dynamic state predictor is utilized in conjunction with the proposed controller. To evaluate the performance of proposed controller, according to an assumed site hazard, thousand ground motion records are generated and clustered based on their spectral features using a fuzzy clustering approach. Finally, the controller is implemented in a laboratory‐scale structure, and its performance is examined in the presence of the cluster centers and some real seismic records simulated on a shake table. The test results reveal successful performance of the proposed controller in tackling a wide range of seismic disturbances in the presence of time delay.

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On the reliability-based design of structures including passive energy dissipation systems

Cited by 31 publications

References 25 publications

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

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

Seismic risk sensitivity of structures equipped with anti-seismic devices with uncertain properties

Online control of an active seismic system via reinforcement learning

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