Agathoklis Giaralis

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University College London
Country flagUnited Kingdom

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Recent Grants

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Multi-objective performance-based design of tall buildings using energy harvesting enabled tuned mass-damper-inerter (TMDI) devices

Open Date: 2015-01-01

Close Date: 2017-09-29

Grant: Close

Compressive Sensing for Wireless Vibration-Based Structural Health Monitoring of Civil Engineering Structures

Open Date: 2013-08-26

Close Date: 2015-05-25

Articles (11)

The increasing rate of urbanization in recent decades has resulted in a global surge in the construction of slender high-rise buildings. These structures are prone to excessive wind-induced lateral vibrations in the crosswind direction owing to vortex shedding effects, causing occupant discomfort and, ultimately, dynamic serviceability failure. To reconcile the worldwide accelerated trend in constructing tall buildings with the sustainable building sector agenda, this paper proposes a novel bi-objective integrated design framework that leverages dynamic vibration absorbers (DVAs) to minimize the required material usage in the wind load-resisting structural systems (WLSSs) of occupant comfort-governed tall buildings. The framework couples structural sizing optimization for minimum-weight WLSS design (objective 1), with optimal DVA tuning for floor acceleration minimization to satisfy codified wind comfort design requirements by using the smallest DVA inertia (objective 2). Furthermore, a versatile numerical strategy is devised for the efficient solution of the proposed bi-objective optimization problem. For illustration, the framework is applied to a 15-storey steel building equipped with one of two different DVAs: a widely considered top-floor tuned mass damper (TMD) and an innovative ground-floor tuned inerter damper (TID). The derived Pareto optimal integrated (WLSS-plus-DVA) designs demonstrate that significant reduction in both structural steel usage and embodied carbon emissions can be achieved using either one of the two DVAs with moderate inertia. It is concluded that the proposed optimization-driven design framework and numerical solution strategy offer an alternative innovative approach to achieve material-efficient high-rise buildings under wind hazards.

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2023

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2021

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2021

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2021

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2021

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2021

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2021

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2021

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2021

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2021

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2021

Collaborators (3)

Karim Tarbali

Assistant Professor

Université Paris-Saclay

FRANCE
View details

Daniele Pietrosanti

-

ITALY
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STERGIOS ARISTOTELES MITOULIS

Associate Professor of research (Senior Fellow)

University of Birmingham

UNITED KINGDOM
View details
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