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SUMMARYAn a priori error estimator for the generalized-time-integration method is developed to solve structural dynamic problems e ciently. Since the proposed error estimator is computed with only information in the previous and current time-steps, the time-step size can be adaptively selected without a feedback process, which is required in most conventional a posteriori error estimators. This paper shows that the automatic time-stepping algorithm using the a priori estimator performs more e cient time integration, when compared to algorithms using an a posteriori estimator. In particular, the proposed error estimator can be usefully applied to large-scale structural dynamic problems, because it is helpful to save computation time. To verify e ciency of the algorithm, several examples are numerically investigated.

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An impact load identification method using distrib uted built-in sensors for detecting foreign object impact is pro posed. The method consists of a system model and a response comparator. The system model characterizes the dynamic response of the structure subjected to a known impact force. The comparator compares the measured sensor outputs with the estimated mea surements from the model and predicts the location and the force history of the impact. The method has been developed for beams containing distributed piezoelectric sensors.