2020
DOI: 10.1002/stc.2543
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Swing vibration control of suspended structures using the Active Rotary Inertia Driver system: Theoretical modeling and experimental verification

Abstract: Summary For the swing motion/vibration control of the suspended structural system, the tuned rotary inertia damper (TRID) has been proposed and investigated by the author previously. However it exhibits inherent robustness defect and limited applicability prospect due to its nature of being a passive tuning control system. In this paper, through the integration of active control philosophy with the rotary tuning control concept, an innovative control system named Active Rotary Inertia Driver (ARID) is proposed… Show more

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Cited by 70 publications
(22 citation statements)
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References 40 publications
(43 reference statements)
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“…Influence of the position of artificial boundary on computation accuracy of conjugated infinite element for a finite length cylindrical shell is presented by Huang et al [17]. Theoretical modeling and experimental verification of swing vibration control of suspended structures using the active rotary inertia driver system is presented by Zhang et al [18]. A Rapid and efficient route to automatic metasurface design using the Deep Learning method is presented by Qiu et al [19].…”
Section: -Review Of Research Work Analyzing and Minimizing The Surface Roughness In The Machining Operationsmentioning
confidence: 99%
“…Influence of the position of artificial boundary on computation accuracy of conjugated infinite element for a finite length cylindrical shell is presented by Huang et al [17]. Theoretical modeling and experimental verification of swing vibration control of suspended structures using the active rotary inertia driver system is presented by Zhang et al [18]. A Rapid and efficient route to automatic metasurface design using the Deep Learning method is presented by Qiu et al [19].…”
Section: -Review Of Research Work Analyzing and Minimizing The Surface Roughness In The Machining Operationsmentioning
confidence: 99%
“…More technically, deep learning-based [63][64][65][66], machine learning [67][68][69], decision making-based theories, feature selection-based solutions [70][71][72], extremer machine learning solutions [73][74][75][76], as well as hybrid searching algorithms that enhanced conventional multilayer perceptron like harris hawks optimization [77,78], whale optimizer [79,80], bacterial foraging optimization [81], chaos enhanced grey wolf optimization [82], moth-flame optimizer [74,83], many-objective sizing optimization [84][85][86][87][88][89], Driven Robust Optimization [90], ant colony optimization [91], and global numerical optimization [92]. These techniques are successfully employed in different aspects such as building design [93][94][95][96][97][98][99][100], image processing/classification [101][102][103][104][105]…”
Section: Introductionmentioning
confidence: 99%
“…e construction process of CFG piles is a large deformation problem in geotechnical engineering, while grid distortion problems that cause simulation interruption are often produced as using finite element simulation. ere are three numerical methods that can handle large deformation problems: the implicit remeshing and interpolation technique by small strain (RITSS) [20][21][22][23], an efficient Arbitrary Lagrangian-Eulerian (EALE) implicit method [24][25][26][27], and the coupled Eulerian-Lagrangian (CEL) approach [28][29][30][31][32]. Neither of the first two methods can effectively simulate the fragmentation and flow of soil involved in the construction of long spiral CFG piles, while the CEL method in ABAQUS can make up for the above deficiencies.…”
Section: Introductionmentioning
confidence: 99%