Effect of stiffness variability on the response of isolated structures

Shenton, Harry W.; Holloway, Eric S.

doi:10.1002/(sici)1096-9845(200001)29:1<19::aid-eqe893>3.0.co;2-9

Cited by 11 publications

(1 citation statement)

References 4 publications

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“…Some researchers studied the effect of the uncertainties of the isolation system on the seismic responses of the superstructure. They confirmed that the uncertainties are remarkably affected the seismic responses of the base-isolated structures [24,25]. In recent years, the reliability analyses of the base-isolated structures are taken into account by some researchers.…”

Section: Introductionmentioning

confidence: 77%

Semi-active control of nonlinear smart base-isolated structures using MR damper: sensitivity and reliability analyses

Etedali¹,

Zamani²

2022

Smart Mater. Struct.

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Semi-active control of base-isolated structures using magneto-rheological (MR) dampers is well studied in recent years. However, there is a study gap for sensitivity and reliability analyses assessment of the structure in the literature. Besides, the reliability analysis of the structures based on the importance of the building from a user perspective categorized into three groups including very high, high, and medium is an interesting topic that is considered in this study. Extension of the study for the case of uncontrolled base-isolated structures and controlled ones in both passive-off and passive-on modes of the MR dampers and tuning the command voltage of the MR dampers by a multi-objective modified clipped optimal (MOMCO) controller are also addressed in this paper in different seismic hazard regions with different peak ground accelerations (PGAs). The Monte Carlo simulation (MCS)-based Sobol's indices and importance sampling (IS) method are applied for the sensitivity and reliability analyses, respectively. Studies are conducted on an 8-story nonlinear base-isolated structure. The sensitivity analyses show the main seismic responses are more influenced by the changing uncertainties of the stochastic ground acceleration; the mass, and stiffness of the structural model; and the yield force of the isolation system. MR dampers can significantly reduce the failure probabilities of the structures in different seismic hazard regions. By increasing seismic hazard, an increment is observed in failure probability. Enhancing the importance of the building from medium to very-high status leads to an increase in the failure probabilities of the structure in all cases. However, the performance of three control cases in reducing the failure probabilities of the structure is often increased. The MOMCO controller and passive-on mode represent fewer failure probabilities than the uncontrolled and passive-off mode in different seismic hazard regions and groups. However, the MOMCO gives the best performance in the reduction of failure probabilities.

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Section: Introductionmentioning

confidence: 77%

Semi-active control of nonlinear smart base-isolated structures using MR damper: sensitivity and reliability analyses

Etedali¹,

Zamani²

2022

Smart Mater. Struct.

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Design of bilinear hysteretic isolation systems

Fragiacomo

Rajgelj

Cimadom

2003

Earthq Engng Struct Dyn

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SUMMARYThis paper concerns the design of passive base isolation systems characterized by a bilinear hysteretic behaviour. The study refers to the case where the structure to be isolated (superstructure) vibrates according to the ÿrst mode. In this case the whole isolated structure can be modelled by a two-degreeof-freedom system. The base isolation e ectiveness has been evaluated for di erent characteristics of the device, namely mass, strength, elastic and plastic sti ness, by using mainly energetic quantities.The optimum values for the base device have been obtained by minimizing the input energy and the displacement of the superstructure. Conclusions are drawn for superstructures with a fundamental period of 0:5 s, a damping ratio of 5% and for three di erent kinds of earthquake ground motions. The study showed that the seismic input greatly a ects the behaviour of the isolated structure, and therefore the design ground motion must be carefully chosen, dependent on the characteristics of the site. A simple procedure that involves mainly linear dynamic analyses is proposed for the design of base devices used in conjunction with superstructures of any fundamental vibration period. The procedure produces good results in spite of its simplicity, and therefore it is suitable for practical use by design engineers.

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Non‐parametric–parametric model for random uncertainties in non‐linear structural dynamics: application to earthquake engineering

Desceliers¹,

Soize²,

Cambier³

2003

Earthq Engng Struct Dyn

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SUMMARYThis paper deals with the transient response of a non-linear dynamical system with random uncertainties. The non-parametric probabilistic model of random uncertainties recently published and extended to nonlinear dynamical system analysis is used in order to model random uncertainties related to the linear part of the ÿnite element model. The non-linearities are due to restoring forces whose parameters are uncertain and are modeled by the parametric approach. Jayne's maximum entropy principle with the constraints deÿned by the available information allows the probabilistic model of such random variables to be constructed. Therefore, a non-parametric-parametric formulation is developed in order to model all the sources of uncertainties in such a non-linear dynamical system. Finally, a numerical application for earthquake engineering analysis is proposed concerning a reactor cooling system under seismic loads.

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Effect of stiffness variability on the response of isolated structures

Cited by 11 publications

References 4 publications

Semi-active control of nonlinear smart base-isolated structures using MR damper: sensitivity and reliability analyses

Semi-active control of nonlinear smart base-isolated structures using MR damper: sensitivity and reliability analyses

Design of bilinear hysteretic isolation systems

Non‐parametric–parametric model for random uncertainties in non‐linear structural dynamics: application to earthquake engineering

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