The large passenger aircraft has a considerable risk for forced landing without power suddenly. As for these problems, the ** has made a research related to the airliner landing on the calm water and has got the water-entry parameters estimation.
First, the authors analyze the moment of aircraft into the water for the highly nonlinear dynamics of fluid-structure interaction. With MSC.Dytransimulation software to get the original data set, we have established parameters to from the attitude of the BP neural network model to simulation of passenger flow into the coupling power system .Then our prediction of the model and error analysis tell BP neural network control of -average error 4.7%, 5.4% and 3.1%, it can accurately describe the movement of aircraft into the water during an instant.
Secondly, we research the plane into the water during exercise to meet the laws of Newtonian dynamics. With equation of Morison, we establish the corresponding dynamic model to describe the process of aircraft taxiing classical dynamical systems. Based on the numerical Calculateeon algorithm, the discrete model, we get the result of the correspondence of and .
Finally, we consider the aircraft to withstand the maximum level of impact load and sliding time . Based on and , the minimum weight function optimization model have been established. With the search algorithms, we get the entry-water attitude and velocity. The results show we get the smallest Z when the safest Entering water attitude is , , .