Uncertainty Quantification of Vibroacoustics with Deep Neural Networks and Catmull–Clark Subdivision Surfaces

Table 2

DNN training dataset input variable settings.

Variables	Mean	Variable boundary
		= 0.05	= 0.1	= 0.15	= 0.2
Radius	2	(1.700, 2.300)	(1.400, 2.600)	(1.100, 2.900)	(0.800, 3.200)
Thickness	0.02	(0.017, 0.023)	(0.014, 0.026)	(0.011, 0.029)	(0.008, 0.032)
Density	7860	(6681, 9039)	(5502, 10218)	(4323, 11397)	(3144, 12576)
Young’s modulus	2.10E + 11	(1.785E11, 2.415E11)	(1.47E11, 2.73E11)	(1.155E11, 3.045E11)	(8.40E10, 3.36E11)
Poisson ratio	0.3	(0.255, 0.345)	(0.210, 0.390)	(0.165, 0.435)	(0.120, 0.480)