Assessment of wind-induced vibration mitigation in a tall building with damped outriggers using real-time hybrid simulations

2020 ◽  
Vol 205 ◽  
pp. 110044 ◽  
Author(s):  
Safwan Al-Subaihawi ◽  
Chinmoy Kolay ◽  
Thomas Marullo ◽  
James M. Ricles ◽  
Spencer E. Quiel
Keyword(s):  
Real Time ◽  
Tall Building ◽  
Vibration Mitigation ◽  
Wind Induced Vibration ◽  
Hybrid Simulations

Maximizing Drilling Performance with Real-Time Drilling Vibration Mitigation in the Deep Wells

2016 ◽  
Author(s):  
M. Cui ◽  
G. H. Wang ◽  
H. Y. Ge ◽  
X. Z. Chen ◽  
H. W. Guo
Keyword(s):  
Real Time ◽  
Vibration Mitigation ◽  
Drilling Performance ◽  
Deep Wells

Feasibility study of an adaptive mount system based on magnetorheological elastomer using real-time hybrid simulation

2018 ◽  
Vol 30 (5) ◽  
pp. 701-707 ◽  
Author(s):  
Seung-Hyun Eem ◽  
Jeong-Hoi Koo ◽  
Hyung-Jo Jung
Keyword(s):  
Magnetic Field ◽  
Control System ◽  
Real Time ◽  
Control Algorithm ◽  
Vibration Reduction ◽  
Hybrid Simulation ◽  
Shaking Table ◽  
Magnetorheological Elastomer ◽  
Experimental Part ◽  
Hybrid Simulations

This article investigates an adaptive mount system based on magnetorheological elastomer in reducing the vibration of an equipment on the isolation table. Incorporating MR elastomers, whose elastic modulus or stiffness can be adjusted depending on the applied magnetic field, the proposed mount system strives to alleviate the limitations of existing passive-type mount systems. The primary goal of this study is to evaluate the vibration reduction performance of the proposed MR elastomer mount using the hybrid simulation technique. For real-time hybrid simulations, the MR elastomer mount and the control system are used as an experimental part, which is installed on the shaking table, and an equipment on the table is used as a numerical part. A suitable control algorithm is designed for the real-time hybrid simulations to avoid the responses of the equipment’s natural frequency by tracking the frequencies of the responses. After performing a series of real-time hybrid simulation on the adaptive mount system and the passive-type mount system under sinusoidal excitations, this study compares the effectiveness of the adaptive mount system over its passive counterpart. The results show that the proposed adaptive elastomer mount system outperforms the passive-type mount system in reducing the responses of the equipment for the excitations considered in this study.

The Wind-Induced Vibration of a Tall Building

1980 ◽  
pp. 747-752
Author(s):  
B. R. Ellis ◽  
R. A. Evans ◽  
A. P. Jeary ◽  
B. E. Lee
Keyword(s):  
Tall Building ◽  
Wind Induced Vibration

scholarly journals Adaptive model predictive control for actuation dynamics compensation in real-time hybrid simulation

2021 ◽  
Author(s):  
Nikolaos Tsokanas ◽  
Roland Pastorino ◽  
Bozidar Stojadinovic
Keyword(s):  
Dynamic Response ◽  
Model Predictive Control ◽  
Real Time ◽  
Predictive Control ◽  
Hybrid Simulation ◽  
Adaptive Model ◽  
Actuation System ◽  
Tracking Controller ◽  
Adaptive Model Predictive Control ◽  
Hybrid Simulations

Real-time hybrid simulation is an experimental method used to obtain the dynamic response of a system whose components consist of loading-rate-sensitive physical and numerical substructures. The coupling of these substructures is achieved by actuation systems, i.e., an arrangement of motors or actuators, which are responsible for continuously synchronizing the interfaces of the substructures and are commanded in closed-loop control setting. To ensure high fidelity of such hybrid simulations, performing them in real-time is necessary. However, real-time hybrid simulation poses challenges as the inherent dynamics of the actuation system introduce time delays, thus modifying the dynamic response of the investigated system and hence compromising the simulation's fidelity and trust in the obtained response quantities. Therefore, a reference tracking controller is required to adequately compensate for such time delays.In this study, a novel tracking controller is proposed for dynamics compensation in real-time hybrid simulations. It is based on an adaptive model predictive control approach, a linear time-varying Kalman filter, and a real-time model identification algorithm. Within the latter, auto-regressive exogenous polynomial models are identified in real-time to estimate the changing plant dynamics and used to update the prediction model of the tracking controller. A parametric virtual real-time hybrid simulation case study is used to validate the performance and robustness of the proposed control scheme. Results demonstrate the effectiveness of the proposed controller for real-time hybrid simulations.

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