SIVA: A benchmark for numerical validation of composite UAV modeling
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Ruiz Cabello, Miguel; González García, Salvador; Pous, Marc; Pascual Gil, Enrique; Díaz Angulo, Luis Manuel; López, Patricia; Riu, Pere J.; Mateos, Daniel; Poyatos, David; Fernández, Mireya; Álvarez, Jesús; Gutiérrez, Guadalupe G.; Fernández Pantoja, Mario Alberto; Añón, Manuel; Silva, Ferrán; Rubio Bretones, Amelia Consuelo; Trallero, Rafael; Nuño, Luis; Escot, David; Gómez Martín, Rafael AntonioMateria
Aerospace simulation Finite-difference methods Numerical analysis Software verification and validation
Fecha
2017Referencia bibliográfica
Ruiz Cabello, Miguel; et. al. SIVA: A benchmark for numerical validation of composite UAV modeling. IEEE Transaction on Electromagnetic Compatibility, Volume: 59, Issue: 4, pp. 1103 - 1113, 2017 [http://hdl.handle.net/10481/50287]
Patrocinador
This work was supported by the Projects TEC2013-48414- C3- { 1,2,3 } -R, TEC2016-79214-C3- { 1,2,3 } -R, and TEC2015-68766-REDC (Spanish MINECO, EU FEDER), P12-TIC-1442 (J. de Andalucia, Spain), Alhambra-UGRFDTD (AIRBUS DS), and by the CSIRC alhambra.ugr.es supercomputing center.Resumen
The increased use of carbon-fiber composites in unmanned aerial vehicles is a challenge for their EMC assessment
by numerical solvers. For accurate and reliable simulations, numerical procedures should be tested not only for individual com-
ponents, but also within the framework of complete systems. With
this aim, this paper presents a benchmark test case based on experimental measurements coming from direct-current injection tests
in the SIVA unmanned air vehicle, reproduced by a numerical
finite-difference-time-domain solver that employs a new subgrid-
ding scheme to treat lossy composite thin panels. Validation was
undertaken by applying the feature selective validation method,
which quantifies the agreement between experimental and numerical data.