ABSTRACT

When b = 2.4 cm, b = 2.6 cm, with white noise excitation time value increasing, both the curve fitting function is

b = 2.4 cm: y 0.0006x 411x 7 92 − +0 0 0 9 4. . b = 2.6 cm: y 0.0004x x2 − +0 0345 0 9361. . By Tables 1 and 2, and analysis of two meth-

ods contrasting, found that the required structural dynamic reliability with Markov method is similar with Poisson process method: Through analysis of the table, it can be seen that the results of the Markov process method to solve structural dynamic reliability is very close to the results of Poisson process method. Therefore, the method for solving the structural changes of dynamic reliability is no longer a detailed analysis. Of course, after careful comparison of Tables 1 and 2, and two methods corresponding to each graphic, found that the method required structural dynamic reliability is slightly larger than that asked by the general Poisson process method, especially at higher unilateral security boundary conditions can be observed clearly. For example, the contrast Table 1 and 2 respectively in the first column can be found that when the structure dynamic reliability between 80% and 99.44%, the desires of Markov results tend to be higher.