Effect of noises on the active optimal control of partially observed structures for white random ground motion

Bhaiya, Vishisht; Bharti, Shiv Dayal; Shrimali, Mahendra Kumar; Datta, T. K.

doi:10.3397/1/376420

Cited by 7 publications

(3 citation statements)

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“…In the state and parameter estimation using all the considered KF based algorithms, the measurement noises are represented by a noise covariance matrix, R , which plays an important role. The R matrix is thus adjusted to get the best possible results 56 . As measurement noises are not known accurately, a detailed investigation is conducted to find the influence of R on the performance of the algorithms.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of the performance of nonlinear Kalman filter based algorithms for state‐parameter identification of base isolated structures

Paul

Dutta

Deb

2022

Structural Contr & Hlth

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Summary In this paper, different variants of Kalman filter based algorithms extended Kalman filter (EKF), two‐stage EKF, and unscented Kalman filter (UKF) are used to estimate and compare the performance of these algorithms in identifying the state and parameters of nonlinear hysteretic model, simulating unbonded fibre reinforced elastomeric isolator (U‐FREI). A two‐story masonry building supported on U‐FREI is utilized for the present study. The model is excited on a shake table using recorded excitations and measured responses are considered for the identification study. Since the hysteretic behavior of U‐FREI is different from that of conventional steel reinforced elastomeric isolator, U‐FREI is modeled using extended Bouc–Wen model. The considered model comprises of mainly six parameters and the identified parameters as obtained from various considered algorithms as well for different input excitations are observed to be different. In view of this, percentage error index (PEI) has been introduced to compare the performance of these algorithms. PEI is evaluated using the parameter weights obtained from parameter sensitivity analysis in the form of spider diagram. The state and parameters of the U‐FREI are also identified using noise corrupted responses from a numerically simulated model of the same considered two‐story masonry building. The responses are contaminated with varying level of artificially added Gaussian white noise. It is observed that the performances of these algorithms are quite stable and are unaffected due to artificially added noise. Further, studies have also been carried out for proper selection of measurement noise covariance and a significant influence on the performance of these algorithms are observed.

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Section: Introductionmentioning

confidence: 99%

“…The R matrix is thus adjusted to get the best possible results. 56 As measurement noises are not known accurately, a detailed investigation is conducted to find the influence of R on the performance of the algorithms.…”

mentioning

confidence: 99%

Comparison of the performance of nonlinear Kalman filter based algorithms for state‐parameter identification of base isolated structures

Paul

Dutta

Deb

2022

Structural Contr & Hlth

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“…Active and semi‐active control strategies have also been developed as force delivery devices that act simultaneously with the excitations by processing real‐time responses of the structures . Besides the separate use of actuators or magnetorheological dampers, hybrid control utilizing magnetorheological dampers coupled with TMDs has also been reported as effective seismic control schemes . To maintain effective control performance, active mass dampers require a considerable amount of external energy to change the action of the device in real time, which poses a potential risk of ill performance in events of power failures during earthquakes or other critical events.…”

Section: Introductionmentioning

confidence: 99%

Multi‐objective design and performance investigation of a high‐rise building with track nonlinear energy sinks

Wang

Wierschem

Wang

et al. 2019

Structural Design Tall Build

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This paper presents a track nonlinear energy sink (track NES) and a single-sided vibroimpact track nonlinear energy sink (SSVI track NES) as effective control strategies to mitigate the seismic response of high-rise buildings. The study commences with the analytical models of the track NES and the SSVI track NES and the state-space description of the control system. Subsequently, single-objective and multi-objective optimizations are conducted, and the performance of these devices is evaluated comprehensively in terms of control effectiveness and economic factors when attached to a representative 32-story high-rise building. Numerical results show that the SSVI track NES exhibits strong robustness against changes in the structural stiffness and the input energy level. Compared with the track NES and tuned mass damper, the multio-bjectively designed SSVI track NES is shown to be the most cost-effective device because it has a very small stroke and requires only slight damping. The cost-effectiveness of the SSVI track NES is also demonstrated on a 20-story shearframe building. Additionally, the seismic performance of the SSVI track NES can be further improved by adjusting the position of the impact surface. Therefore, the track NES and, more so, the SSVI track NES can be designed as highly cost-effective control strategies and offer a promising solution for seismic response mitigation of high-rise buildings. KEYWORDSCost-effectiveness, high-rise building, multio-bjective optimization, single-sided vibro-impact, track nonlinear energy sink, tuned mass damper 1 | INTRODUCTION Structural control technologies have been widely recognized as effective solutions to enhance structural functionality and safety against natural and manmade hazards. Tuned mass dampers (TMDs) are one of the most commonly used passive vibration absorbers in engineering practice due to its relative simplicity. A TMD consists of a secondary mass connected to the controlled primary structure through a linear spring and a viscous damper. By resonating with the primary structure, the TMD is able to positively affect the dynamic property of the primary structure and dissipate energy effectively. Early applications of TMDs have been directed toward mitigation of wind-induced responses, especially for high-rise buildings and flexible structures. [1][2][3][4][5] Numerous studies have been dedicated to the optimal design of TMDs, [2][3][4]6] and there exists many examples of TMDs in super high-rise buildings, such as the Milad Tower [4] and the Shanghai World Financial Center Tower. [5] In recent studies, TMDs have also attracted interests in vibration control of structures under seismic excitations. Although a variety of numerical and experimental studies have been carried out to obtain optimal parameters of TMDs for seismic response mitigation, [6][7][8][9][10][11] shortcomings of TMDs for this purpose have also AMD Active mass damper DOF Degree of freedom EOM Equation of motion MR damper Magnetorheological damper MTMD Multiple tuned mass damper NES Non...

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Predictive active control of building structures using LQR and artificial intelligence

Mehta,

Bhaiya,

Patel

et al. 2024

Earthq. Eng. Eng. Vib.

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Effect of noises on the active optimal control of partially observed structures for white random ground motion

Cited by 7 publications

References 0 publications

Comparison of the performance of nonlinear Kalman filter based algorithms for state‐parameter identification of base isolated structures

Comparison of the performance of nonlinear Kalman filter based algorithms for state‐parameter identification of base isolated structures

Multi‐objective design and performance investigation of a high‐rise building with track nonlinear energy sinks

Predictive active control of building structures using LQR and artificial intelligence

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