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Essais & Simulations 151

Spécial Métrologie « 4.0 » Quand les technologies du futur s’invitent dans la métrologie

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MESURES<br />

MÉTHODE<br />

Operational replication of strain<br />

responses during MIMO random<br />

control tests<br />

Les essais de contrôle des vibrations aléatoires sont réalisés pour vérifier qu’un système et tous ses<br />

sous-composants peuvent résister à un environnement de vibrations aléatoires pendant la durée de vie<br />

opérationnelle. Ces essais visent à reproduire avec précision, par l’intermédiaire d’une excitation contrôlée,<br />

la réponse structurelle en service d’un dispositif testé (DUT) dans l’axe principal de vibration.<br />

Introduction<br />

Random vibration control tests are<br />

performed to verify that a system and all its<br />

sub-components can withstand a random<br />

vibration environment during the operational<br />

life. These tests aim to accurately replicate<br />

via controlled shaker excitation the inservice<br />

structural response of a device under<br />

test (DUT) in the main axis of vibration and<br />

in all the possible axes where the levels<br />

exceed the acceptance thresholds. In the<br />

recent years great visibility has been given<br />

to the problem of accurately replicating in<br />

the laboratory the operational conditions<br />

that the DUT will eventually experience<br />

in-service. Multiple-Input Multiple-Output<br />

(MIMO) Random Control testing allows<br />

for a close replication of the nature of<br />

the operational loads. Previous work on<br />

aerodynamically excited structures has<br />

shown how increasing the number of control<br />

channels and trying to match the operational<br />

mechanical impedance, on top of a successful<br />

random test, also allows to closely match the<br />

response in locations that are not controlled.<br />

These observations are at the basis of the<br />

so-called IMMAT (Impedance-Matched<br />

Multi-Axial Test). In this context, it was<br />

shown that the environmental replication<br />

further improves by increasing the number<br />

of shakers and adopting rectangular control<br />

strategies. The ultimate goal of these studies<br />

is to converge towards a solution that will<br />

lead to a laboratory test that will eventually<br />

lead to damage mechanisms closer to the<br />

one that the component would experience<br />

in service. The objective of this paper is to<br />

continue the investigations to the physical<br />

quantities that can be actively controlled.<br />

The research question to answer with this<br />

work is: since the failure of the unit under<br />

test is directly related to the stresses and<br />

hence the strains, could MIMO Random<br />

Control techniques applied directly to strain<br />

measurements improve the replication of the<br />

operational strain field?<br />

BACKGROUND AND METHODOLOGYS<br />

To address this question, a set of experiments was carried out on<br />

the setup shown in Figure 1. Figure 1 (a) and (b) show the setup<br />

adopted for definition of the “pseudo-operational” conditions,<br />

highlighting the locations of the sensors for recording strain<br />

and acceleration responses. The inputs for the definition of the<br />

pseudo-operational conditions were white-pink noise uncorrelated<br />

voltages sent from a Siemens Simcenter SCADAS system<br />

to Siemens Simcenter Q-Sources inertial shakers attached to<br />

the frame of the DUT. Lumped calibrated masses were also<br />

attached to the lower side of the DUT allowing for simulating<br />

mass loading differences during the “pseudo-test” conditions.<br />

Figure 1 (c) shows the setup adopted for definition of the “pseudo-test”<br />

conditions, The test complexity was gradually increased<br />

introducing differences between “pseudo-operational” and “pseudo-test”<br />

conditions and changing control strategy.<br />

Figure 1 - Test setup adopted for the “pseudo-operational” conditions:<br />

20 I ESSAIS & SIMULATIONS • N°<strong>151</strong> • Novembre - Décembre 2022 - Janvier 2023

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