Complex mode random eigenvalue direct variance calculation method based on matrix perturbation theory
A technology of perturbation theory and random features, applied in complex mathematical operations and other directions, can solve the problems of perturbation methods, structural complex eigenvalues and their statistical properties, etc.
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[0183] In order to understand more fully the characteristics of this invention and its applicability to engineering practice, the present invention uses figure 2 Taking the structural system as an example, the stochastic eigenvalue analysis of the complex mode is carried out. figure 2 middle c 1 ,c 2 ,c 3 Represent the damping coefficients of the three dampers in the system, k represents the stiffness coefficient of the spring in the system, m represents the mass of the slider, x 1 ,x 2 Respectively represent the position coordinates of the two sliders in the system.
[0184] Consider a two-degree-of-freedom vibration system that satisfies c=1, k=9, m=1, where the damping coefficient c 1 = c 2 = c 3 = c; use D'Alembert's principle to easily establish the differential equation of motion of the system:
[0185] m 0 0 ...
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