Essais & Simulations 151
Spécial Métrologie « 4.0 » Quand les technologies du futur s’invitent dans la métrologie
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