Numerical models comparison for fluid-viscous dampers: Performance investigations through Genetic Algorithm

Cucuzza, Raffaele; Domaneschi, Marco; Greco, Rita; Marano, Giuseppe Carlo

doi:10.1016/j.compstruc.2023.107122

Cited by 23 publications

(1 citation statement)

References 47 publications

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“…Cucuzza et al [34] compared numerical models for fluid-viscous dampers and used genetic algorithms to evaluate damper performance. Their results indicate that the proposed nonlinear Bingham model outperforms traditional linear and nonlinear models in terms of prediction accuracy.…”

Section: Optimization Problem Definitionmentioning

confidence: 99%

The Optimization of the Geometry of the Centrifugal Fan at Different Design Points

Ragauskas,

Tetsmann,

Jasevičius

2024

Applied Sciences

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The optimization of the geometry of a centrifugal fan is performed at maximum power and high-efficiency design points (DPs) to improve impeller efficiency. Two design variables defining the shape of fan blade are selected for the optimization. The optimal values of the geometry parameters of the impeller blades are identified by employing virtual flow simulations. The results of virtual experiments indicate the influence of the parameters of the blade geometry on its efficiency. With the optimization of impeller blade geometry, the efficiency of the fan is improved with respect to the reference model, as confirmed by comparing the performance curves. Herein, we discuss the results obtained in virtual tests by identifying the influence of DPs on the performance characteristics of centrifugal fans.

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Section: Optimization Problem Definitionmentioning

confidence: 99%

The Optimization of the Geometry of the Centrifugal Fan at Different Design Points

Ragauskas,

Tetsmann,

Jasevičius

2024

Applied Sciences

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Multimodal seismic assessment of infrastructures retrofitted with exoskeletons: insights from the Foggia Airport case study

Cucuzza,

Aloisio,

Domaneschi

et al. 2024

Bull Earthquake Eng

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Addressing the seismic vulnerability of infrastructures is critical, especially for those built before the introduction of the current seismic regulations. One of the primary challenges lies in retrofitting these buildings without interrupting their functionality. In this context, the use of exoskeletons for seismic retrofitting represents an effective solution. This approach increases the seismic resistance and ensures the continuous operation of the building during retrofitting. This advantage is especially crucial for critical infrastructures, such as airports. Nevertheless, traditional seismic assessment methods based on pushover analyses might not accurately predict the seismic capacity of complex infrastructures dominated by local vibration modes. To bridge this gap, the study proposes refining the multimodal pushover analysis tailored for seismic vulnerability assessments of large infrastructures with exoskeletons characterized by low modal participation ratios. The Foggia Airport case study exemplifies these points and highlights the practical applications of the discussed advancements. The authors compared two force distributions for push-over analysis, addressing the fine-tuning of exoskeletons to maximize their seismic resistance.

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Extended Bouc-Wen model identification using shaking table test data of ageing RC bridge piers

Ge,

Liu,

Yang

et al. 2024

Bull Earthquake Eng

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Numerical models comparison for fluid-viscous dampers: Performance investigations through Genetic Algorithm

Cited by 23 publications

References 47 publications

The Optimization of the Geometry of the Centrifugal Fan at Different Design Points

The Optimization of the Geometry of the Centrifugal Fan at Different Design Points

Multimodal seismic assessment of infrastructures retrofitted with exoskeletons: insights from the Foggia Airport case study

Extended Bouc-Wen model identification using shaking table test data of ageing RC bridge piers

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