Publications

@article{D'Elia2020,
title = {Analyses of drives power reduction techniques for multi-axis random vibration control tests},
author = {D'Elia Giacomo; Musella Umberto; Mucchi Emiliano; Guillaume Patrick; Peeters Bart},
url = {https://www.sciencedirect.com/science/article/pii/S0888327019306168?via%3Dihub},
doi = {10.1016/j.ymssp.2019.106395},
year = {2020},
date = {2020-01-01},
journal = {Mechanical Systems and Signal Processing},
keywords = {D'Elia G., Guillaume P., Mucchi E., Musella U., Peeters B.},
pubstate = {published},
tppubtype = {article}
}

@conference{,
title = {Combining test and simulation to tackle the challenges derived from boundary conditions mismatches in environmental testing},
author = {Musella Umberto; Blanco Mariano Alvarez; Mastrodicasa Davide; Monco Giovanni; Di Lorenzo Emilio; Manzato Simone; Peeters Bart; Mucchi Emiliano; Guillaume Patrick},
doi = {10.1007/978-3-030-12676-6_23},
isbn = {978-303012675-9},
year = {2019},
date = {2019-01-28},
booktitle = {Conference Proceedings of the Society for Experimental Mechanics Series},
pages = {259 - 269},
abstract = {Recent research stressed out the limitations of current practices on component level environmental vibration testing. These limitations are typically associated with non-realistic excitation mechanisms and the mechanical impedance mismatch due to differences between the operational and the test boundary conditions. General concern is that the real failure modes of the component are not correctly replicated, and more information might be needed to define a representative test practice. Does the current testing practice provide sufficient information? Is there a way to overcome the impedance mismatch between operational conditions and the test configuration by means of simulations and adequate control strategy for environmental tests? This work presents recent results from an intensive test campaign performed on the Box Assembly with Removable Component (BARC). Limitations of state-of-the-art random vibration testing techniques are investigated and Multiple-Input Multiple-Output Random control strategies are combined with simulation tools to find potential research directions to overcome the limitations. The final goal intends to tackle a rationale, rather than a single specific solution, to assess the design of a testing methodology leading to structural responses which are more representative of the operational environment in terms of potential failure mechanisms. © Society for Experimental Mechanics, Inc. 2020.},
keywords = {Blanco M. A., Di Lorenzo E., Guillaume P., Manzato S., Mastrodicasa D., Monco G., Mucchi E., Musella U., Peeters B.},
pubstate = {published},
tppubtype = {conference}
}

@article{Musella2018,
title = {A minimum drives automatic target definition procedure for multi-axis random control testing },
author = {Musella Umberto; D'Elia Giacomo; Carrella Alex; Peeters Bart; Mucchi Emiliano; Marulo Francesco; Guillaume Patrick},
url = {https://www.sciencedirect.com/science/article/pii/S0888327018300475},
doi = {10.1016/j.ymssp.2018.01.039},
year = {2018},
date = {2018-09-27},
journal = {Mechanical Systems and Signal Processing},
keywords = {Carrella A., D'Elia G., Guillaume P., Marulo F., Mucchi E., Musella U., Peeters B.},
pubstate = {published},
tppubtype = {article}
}

@article{Musella2017,
title = {Tackling the target matrix definition in MIMO Random Vibration Control testing},
author = {Musella Umberto; D’Elia Giacomo; Manzato Simone; Peeters Bart; Marulo Francesco; Guillaume Patrick; Mucchi Emiliano
},
year = {2017},
date = {2017-09-22},
journal = {Proceedings of 30th Aerospace Testing Seminar (ATS)},
keywords = {D'Elia G., Guillaume P., Manzato S., Marulo F., Mucchi E., Musella U., Peeters B.},
pubstate = {published},
tppubtype = {article}
}