Semi Active Tuned Mass Dampers of Buildings: A Simple Control Option

Demetriou, Demetris; Nikitas, Nikolaos; Tsavdaridis, Konstantinos Daniel

doi:10.3844/ajeassp.2015.620.632

Cited by 24 publications

(11 citation statements)

References 30 publications

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“…Researchers are focusing on optimising the material efficiency of structures and structural systems [1][2][3][4][5] as well as on the performance of structures and buildings specifically to wind and seismic actions by minimising weight and control capacity [6][7][8][9][10][11], in order to avoid using redundant material, thus increasing the stiffness over weight ratio without compromising their capacity. However, the optimisation process can be time and resource intensive when it is done with traditional methods, thus in recent years advanced computational tools have been employed to carry out effective material distribution for structures, such as the shape and topology optimisation techniques [12][13][14][15], technologies previously used in aeronautical and automotive engineering where material savings is of ultimate importance for the performance of the shuttle and vehicles.…”

Section: Introductionmentioning

confidence: 99%

Genetic Algorithm for Embodied Energy Optimisation of Steel-Concrete Composite Beams

Whitworth¹,

Tsavdaridis

2020

Sustainability

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The optimisation of structural performance is acknowledged as a means of obtaining sustainable structural designs. A minimisation of embodied energy of construction materials is a key component in the delivery of sustainable future designs. This study attempts to understand the relationship between embodied energy and structural form of composite floor plates for tall buildings, and how this form can be optimised to minimise embodied energy. As a search method based upon the principles of genetics and natural selection, genetic algorithms (GA) have previously been used as novel means of optimising composite beams and composite frames for cost and weight objective functions. Parametric design models have also been presented as optimisation tools to optimise steel floor plates for both cost and embodied carbon. In this study, a Matlab algorithm is presented incorporating MathWorks global optimisation toolbox GA and utilising Eurocode 4 design processes to optimise a composite beam for five separate objective functions: maximise span length; minimise beam cross-section; minimise slab depth; minimise weight; minimise deflected shape for each of the objective functions. Candidate designs are to be assessed for embodied energy to determine individual relationships. This study shows that it is possible to reduce the embodied energy of steel–concrete composite beams by genetic algorithm optimisation whilst remaining compliant to given design codes.

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Section: Introductionmentioning

confidence: 99%

Genetic Algorithm for Embodied Energy Optimisation of Steel-Concrete Composite Beams

Whitworth¹,

Tsavdaridis

2020

Sustainability

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“…In the field of civil engineering vibration control, passive control [19][20][21][22], semi-active control [23][24][25], active control [26][27][28], and hybrid control [29][30][31][32] have been extensively studied and demonstrated. In particular, passive control is the most widely used type of control system due to its simple structure, easy maintenance and high reliability [33][34][35].…”

Section: Introductionmentioning

confidence: 99%

Implementation of Shape Memory Alloy Sponge as Energy Dissipating Material on Pounding Tuned Mass Damper: An Experimental Investigation

et al. 2019

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Piping systems are important nonstructural components of most types of buildings. Damage to piping systems can lead to significant economic losses, casualties, and interruption of function. A survey of earthquake disaster sites shows that suspended piping systems are flexible and thus prone to large deformation, which can lead to serious damage of the piping systems. The single-sided pounding tuned mass damper (PTMD), which is an emerging vibration suppression tool, has the potential to serve as a cost effective and non-invasive solution for the mitigation of vibration in suspended piping systems. The operating frequency of the single-sided PTMD can be tuned similarly to a tuned mass damper (TMD). The single-side PTMD also possesses high energy dissipation characteristics and has demonstrated outstanding performance in vibration control. One of the key factors affecting the performance of the PTMD is the damping material, and there is a constant search for the ideal type of material that can increase the performance of the PTMD. This paper explores the use of shape memory alloy (SMA) sponge as the damping material for two types (spring steel and pendulum types) of PTMDs to mitigate the vibration of a suspended piping system. The PTMDs are tested both in free vibration and in forced vibration. The results are compared with no control, with a TMD control, and with a viscoelastic (VE) material PTMD control. The results show that in free vibration tests, SMA–PTMDs attenuate the displacement of the piping system significantly. The time to mitigate vibration (i.e., reduce 90% of the vibration amplitude) is reduced to 6% (for spring steel type) and 11% (for pendulum type) of the time taken to mitigate vibration without control. In forced vibration tests, the overall magnitudes of the frequency response are also lowered to 38% (spring steel) and 44% (pendulum) compared to vibration without control. The results indicate that SMA has the potential to be a promising energy dissipating material for PTMDs.

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“…In addition, unlike the ATMDs, they can operate with minimal power requirement (Hrovat, Barak, & Rabins, 1983;Kang, Kim, & Lee, 2011;Varadarajan & Nagarajaiah, 2004). Owing to these advantages and the practical demand, the SATMDs are gaining more popularity and attention for conducting research in various application areas (Bathaei, Zahrai, & Ramezani, 2017;Chung, Lai, Yang, Lian, & Wu, 2013;Demetriou & Nikitas, 2016;Demetriou, Nikitas, & Tsavdaridis, 2015;Demetriou et al, 2015;Gao, Xiang, Liu, & Zhou, 2018;Zemp, de la Llera, & Almazan, 2011). Numerous algorithms have been proposed by different researchers for applications on structures fitted with SATMDs (Abe, 1996;Cha & Agrawal, 2010;Gutierrez Soto & Adeli, 2017;Kang et al, 2011;Nagarajaiah & Sonmez, 2007;Pinkaew & Fujino, 2001;Ricciardelli, Occhiuzzi, & Clemente, 2000;Runlin, Xiyuan, & Xihui, 2002;Setareh, 2001).…”

Section: Introductionmentioning

confidence: 99%

Semi‐active algorithm for energy‐based predictive structural control using tuned mass dampers

Zelleke

Matsagar

2019

Computer aided Civil Eng

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A novel semi‐active control algorithm is developed and numerically evaluated for the suppression of undesirable structural vibrations. The mechanical energy of the vibrating structure is considered as the primary variable influencing the control action. This intuitive strategy is proposed to realize improved control of structural vibrations. The numerical study conducted reveals that the proposed energy‐based predictive (EBP) algorithm can be implemented on vibration control applications. The energy imparted to the structure is also reduced due to the proposed algorithm. The influence of the parameters of the proposed semi‐active tuned mass damper is studied. Further, the application of the proposed strategy on a realistic structure is numerically demonstrated by implementing the algorithm for the wind response control of a 76‐story benchmark building. The results show that the EBP algorithm is a competitive semi‐active strategy. The robustness of the strategy is also evaluated considering uncertainties in the properties of the benchmark building.

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Semi Active Tuned Mass Dampers of Buildings: A Simple Control Option

Cited by 24 publications

References 30 publications

Genetic Algorithm for Embodied Energy Optimisation of Steel-Concrete Composite Beams

Genetic Algorithm for Embodied Energy Optimisation of Steel-Concrete Composite Beams

Implementation of Shape Memory Alloy Sponge as Energy Dissipating Material on Pounding Tuned Mass Damper: An Experimental Investigation

Semi‐active algorithm for energy‐based predictive structural control using tuned mass dampers

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