Wind-Excited Oscillations of Structures.

Scruton, C.; Flint, Anthony

doi:10.1680/iicep.1964.10179

Cited by 40 publications

(10 citation statements)

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“…This analysis confirms earlier conclusion in Ref. 10 A fluid conveying tube, clamped at the upstream end and supported by a displacement spring at the other, is studied theoretically. It is shown that when the flow velocity exceeds a certain value, depending on the spring constant, the tube becomes subject to flutter-type instability, bucklingtype instability, or both,with multiple stable and unstable ranges of flow velocity.…”

Section: A Korneckl On Application Of Galevkin's Methods To Non-selfsupporting

confidence: 91%

Annotated bibliography on flow induced vibrations

Mulcahy¹,

S²

1974

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Section: A Korneckl On Application Of Galevkin's Methods To Non-selfsupporting

confidence: 91%

Annotated bibliography on flow induced vibrations

Mulcahy¹,

S²

1974

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“…It was quickly adopted by the research community and over time came to be known as S c , the Scruton number (Scruton, 1955(Scruton, , 1956(Scruton, , 1965(Scruton, , 1966; (Vickery and Watkins, 1964); (Zdravkovich, 1982):…”

Section: Scruton Vickery and Watkins And Skop-griffinmentioning

confidence: 99%

Damping Parameters for flow-induced vibration

Vandiver¹

2012

Journal of Fluids and Structures

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“…Consequently, modal mass is often overlooked in the dynamic characterisation of structures [42]. However, modal mass is an important design parameter as it governs the dynamic behaviour of structures subjected to dynamic actions (e.g., due to wind and humans), as encapsulated by the Scruton number [43] and pedestrian Scruton number [44,45]. Therefore, classical experimental modal analysis (EMA), relying on the measured input force and output response, is favoured in the full dynamic characterisation of structures.…”

Section: Introductionmentioning

confidence: 99%

Performance of Camera-Based Vibration Monitoring Systems in Input-Output Modal Identification Using Shaker Excitation

et al. 2021

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Despite significant advances in the development of high-resolution digital cameras in the last couple of decades, their potential remains largely unexplored in the context of input-output modal identification. However, these remote sensors could greatly improve the efficacy of experimental dynamic characterisation of civil engineering structures. To this end, this study provides early evidence of the applicability of camera-based vibration monitoring systems in classical experimental modal analysis using an electromechanical shaker. A pseudo-random and sine chirp excitation is applied to a scaled model of a cable-stayed bridge at varying levels of intensity. The performance of vibration monitoring systems, consisting of a consumer-grade digital camera and two image processing algorithms, is analysed relative to that of a system based on accelerometry. A full set of modal parameters is considered in this process, including modal frequency, damping, mass and mode shapes. It is shown that the camera-based vibration monitoring systems can provide high accuracy results, although their effective application requires consideration of a number of issues related to the sensitivity, nature of the excitation force, and signal and image processing. Based on these findings, suggestions for best practice are provided to aid in the implementation of camera-based vibration monitoring systems in experimental modal analysis.

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Wind-Excited Oscillations of Structures.

Cited by 40 publications

References 0 publications

Annotated bibliography on flow induced vibrations

Annotated bibliography on flow induced vibrations

Damping Parameters for flow-induced vibration

Performance of Camera-Based Vibration Monitoring Systems in Input-Output Modal Identification Using Shaker Excitation

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