Real-Time Hybrid Test Validation of a MR Damper Controlled Building with Shake Table Tests

Lin, Yi Zhong; Christenson, Richard

doi:10.1260/1369-4332.14.1.79

Cited by 11 publications

(5 citation statements)

References 18 publications

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“…As shown in, for example, , MR dampers have been successfully used for controlled damping and optimal control of stay cables. Similar numerical and experimental investigations including hybrid testing were conducted in, for example, , for the vibration reduction of buildings equipped with controlled MR dampers. Controlled MR dampers have also been installed in tuned mass dampers in order to make these passive devices adaptive as, for example, proposed in .…”

Section: Introductionmentioning

confidence: 99%

Extended neural network-based scheme for real-time force tracking with magnetorheological dampers

Weber

Bhowmik

Høgsberg

2013

Struct. Control Health Monit.

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This paper validates numerically and experimentally a new neural network-based real-time force tracking scheme for magnetorheological (MR) dampers on a five-storey shear frame with MR damper. The inverse model is trained with absolute values of measured velocity and force because the targeted current is a positive quantity. The validation shows accurate results except of small current spikes when the desired force is in the vicinity of the residual MR damper force. In the closed-loop, higher frequency components in the current are triggered by the transition of the actual MR damper force from the pre-yield to the post-yield region. A control-oriented approach is presented to compensate for these drawbacks. The resulting control force tracking scheme is validated for the emulation of viscous damping, clipped viscous damping with negative stiffness, and friction damping with negative stiffness.The tests indicate that the proposed tracking scheme works better when the frequency content of the estimated current is close to that of the training data. The LuGre friction model was adopted as observer in [18] to solve the force tracking task. This short review on existing real-time force tracking schemes shows that the nonmodel-based Heaviside step function approach only works with force feedback; the Dahl model leads to precise current estimation only in special cases, and the LuGre friction model can only be used as observer because this approach cannot be inverted. In this study, the real-time force tracking task without force feedback is therefore investigated by the adoption of soft-computing techniques that allow modeling the inverse MR damper dynamics directly and thereby circumvent the aforementioned drawbacks.Besides the fuzzy logic approach that is used in [19] to directly estimate the inverse MR damper behavior, the neural network method is seen to be able to capture the nonlinear inverse MR damper dynamics. Recurrent neural network models were constructed in [20] to emulate both the forward and inverse MR damper dynamics. Both models take the previous values of the estimated force and voltage, respectively, as inputs among other states. The validation of the inverse model shows some high frequency spikes in the estimated voltage. In the work of Xia [21], the inverse MR damper behavior was modeled by using a multilayer perceptron optimal neural network and system identification. The inverse model is trained and validated with simulated data taking into account the previous values of the voltage. The authors of [22] studied the modeling of the inverse MR damper dynamics using feedforward and recurrent neural networks. For the targeted constant voltage of 1.5 V, the predicted voltage showed spikes of up to AE0.17 V at a frequency that seems to be equal to the damper motion frequency. If the targeted voltage is a sinusoidal function with constant frequency, the time history of the estimated voltage does not describe a pure sine, and thereby, the resulting error is larger than AE0.17 V. In contrast, the forward mo...

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Section: Introductionmentioning

confidence: 99%

Extended neural network-based scheme for real-time force tracking with magnetorheological dampers

Weber

Bhowmik

Høgsberg

2013

Struct. Control Health Monit.

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“…Data exchange between the experimental substructures and the numerical substructures can reduce the required scope of test procedures without affecting test accuracy (Günay et al, 2015; Mosalam et al, 2016). The real-time dynamic substructuring shaking table (RTDSST) test method was applied to investigate aseismic performance of the structure equipped with control devices (Lee et al, 2007; Lin and Christenson, 2011; Mercan and Ricles, 2009). Tu et al (2018) utilized the RTDSST test method on the composite structure, they studied the behavior of a traditional light-frame wood shear walls with post-tensioned rocking cross-laminated timber panels.…”

Section: Introductionmentioning

confidence: 99%

Seismic energy response analysis of equipment-structure system via real-time dynamic substructuring shaking table testing

Luo

Jiang

2019

Advances in Structural Engineering

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Dynamic equations are presented that have been deduced for a real-time dynamic substructuring shaking table test of an equipment-structure system, based on the branch mode substructure method. The equipment is adopted as the experimental substructure, which is loaded by the shaking table, while the structure is adopted as the numerical substructure. Real-time data communication occurs between the two substructures during the test. A real-time seismic energy calculation method was proposed for the calculation of energy responses, both in the experimental substructure and the numerical substructure. Taking a representative four-story steel frame/equipment model, real-time dynamic substructuring shaking table tests and overall model tests were executed. The proposed real-time dynamic substructuring shaking table testing method was verified by comparing the test results with shaking table test results for the overall model. The energy responses of each component in the equipment-structure system, using different connection types, also were studied. Changes in the connection types can lead to changes in the energy responses of the equipment-structure system, especially with respect to the equipment. The choice of the connection for the equipment-structure coupled system should take into account the operational performance objective of the equipment.

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“…Weber et al [11] studied the performance of structure equipped with a semiactive friction pendulum against the seismic loading and determined the optimal friction coefficient of isolation system for minimizing the structure acceleration. Magnetorheological (MR) damper is also another effective semiactive control system considered separately [12,13] or together with the base isolation system for controlling the structural response [14][15][16][17][18]. Ramallo et al [19] demonstrated the effectiveness of adding a MR damper to conventional isolated structures by achieving notable decreases in base drifts compared to passive systems.…”

Section: Introductionmentioning

confidence: 99%

Effective Semiactive Base Isolation System under Multiple Earthquakes

Mohebbi

Dadkhah

2018

Advances in Civil Engineering

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A method is proposed to design an effective semiactive control system composed of a linear low damping base isolation and a supplemental magnetorheological (MR) damper when the structure subjected to multiple earthquakes. In the proposed design method, the parameters of semiactive control system have been determined based on minimizing the average of maximum response of isolated structure under multiple design ground motions. To select appropriate value for force related weighting parameter, defined in performance index, a range has been suggested for each design objective. For numerical simulations, a scaled three-story base-isolated frame subjected to different scaled real earthquakes as well as filtered white noise excitations and the proposed method has been applied to design semiactive base isolation system under multiple earthquakes.e results of numerical simulations have shown the capability of the proposed method in designing an effective semiactive base isolation system, the performance of which under multiple earthquakes has been almost close to the case that it is designed optimally for each earthquake separately. Also, under multiple earthquakes, using the passive-off and passive-on forms of MR damper can be recommended, respectively, regarding to the objectives of minimizing the maximum acceleration and base drift.

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Real-Time Hybrid Test Validation of a MR Damper Controlled Building with Shake Table Tests

Cited by 11 publications

References 18 publications

Extended neural network-based scheme for real-time force tracking with magnetorheological dampers

Extended neural network-based scheme for real-time force tracking with magnetorheological dampers

Seismic energy response analysis of equipment-structure system via real-time dynamic substructuring shaking table testing

Effective Semiactive Base Isolation System under Multiple Earthquakes

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