Fluid-elastic coefficients in single phase cross flow: dimensional analysis, direct and indirect experimental methods

TL;DR

This paper investigates fluid-elastic coefficients in single-phase cross flow, emphasizing the importance of dimensionless parameters like Reynolds and Stokes numbers for accurate data analysis and model validation.

Contribution

It introduces a dimensional analysis approach revealing the dependence of fluid-elastic coefficients on Reynolds and Stokes numbers, challenging previous data reduction methods.

Findings

Fluid-elastic coefficients depend on Reynolds and Stokes numbers.

Reducing data to a single compound parameter can cause data dispersion.

Experimental results for a square tube bundle under water flow are presented.

Abstract

The importance of fluid-elastic forces in tube bundle vibrations can hardly be over-emphasized, in view of their damaging potential. In the last decades, advanced models for representing fluid-elastic coupling have therefore been developed by the community of the domain. Those models are nowadays embedded in the methodologies that are used on a regular basis by both steam generators providers and operators, in order to prevent the risk of a tube failure with adequate safety margins. From an R&D point of view however, the need still remains for more advanced models of fluid-elastic coupling, in order to fully decipher the physics underlying the observed phenomena. As a consequence, new experimental flow-coupling coefficients are also required to specifically feed and validate those more sophisticated models. Recent experiments performed at CEA-Saclay suggest that the fluid stiffness and damping coefficients depend on further dimensionless parameters beyond the reduced velocity. In this work, the problem of data reduction is first revisited, in the light of dimensional analysis. For single-phase flows, it is underlined that the flow-coupling coefficients depend at least on two dimensionless parameters, namely the Reynolds number $Re$ and the Stokes number $Sk$. Therefore, reducing the experimental data in terms of the compound dimensionless quantity $V_r=Re/Sk$ necessarily leads to impoverish results, hence the data dispersion. In a second step, experimental data are presented using the dimensionless numbers $Re$ and $Sk$. We report experiments, for a 3x5 square tube bundle subjected to water transverse flow. The bundle is rigid, except for the central tube which is mounted on a flexible suspension allowing for translation motions in the lift direction.