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Red neuronal de física informada parametrizada por defectos para modelado directo e inverso del campo de ondas
Liu Yang1, Peipei Liu2, Kiyoon Yi1
1Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, The Republic of Korea.
Ultrasonics
|January 7, 2026
Resumen
Una novedosa red neuronal de física informada parametrizada por defectos (DP-PINN) caracteriza con precisión defectos superficiales submilimétricos en componentes metálicos utilizando ultrasonidos láser. Este método de evaluación no destructiva reconstruye campos de ondas completos a partir de datos limitados, garantizando la integridad estructural.
Palabras clave:
Caracterización de defectosProblema inversoUltrasonidos láserEvaluación no destructivaRedes neuronales informadas por físicaMás Videos Relacionados
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