A structure-dependent explicit method with enhanced stability properties is proposed in this study. In general, the method offers unconditional stability for structural systems except those with a particular instantan...A structure-dependent explicit method with enhanced stability properties is proposed in this study. In general, the method offers unconditional stability for structural systems except those with a particular instantaneous stiffness hardening behavior. In addition, it is second-order accurate and displays no overshooting in high frequency responses. Numerical experiments reveal that the proposed method saves a substantial amount of computational effort in solving inertial problems where only the low frequency responses are of interest, when compared to a general second-order accurate integration method.展开更多
An algorithm for multivariable autoregressive moving average (MARMA) modelling which only uses scalar computations is proposed. The given MARMA process is converted to an equivalent scalar, periodic ARMA process. The ...An algorithm for multivariable autoregressive moving average (MARMA) modelling which only uses scalar computations is proposed. The given MARMA process is converted to an equivalent scalar, periodic ARMA process. The scalar autoregressive (AR) parameters 展开更多
基金The Science Council,Chinese Taipei Under Grant No.NSC-99-2221-E-027-029
文摘A structure-dependent explicit method with enhanced stability properties is proposed in this study. In general, the method offers unconditional stability for structural systems except those with a particular instantaneous stiffness hardening behavior. In addition, it is second-order accurate and displays no overshooting in high frequency responses. Numerical experiments reveal that the proposed method saves a substantial amount of computational effort in solving inertial problems where only the low frequency responses are of interest, when compared to a general second-order accurate integration method.
文摘An algorithm for multivariable autoregressive moving average (MARMA) modelling which only uses scalar computations is proposed. The given MARMA process is converted to an equivalent scalar, periodic ARMA process. The scalar autoregressive (AR) parameters
