Research on the influence of the fatigue life of the quay crane trolley track in the driver's maneuvering mode
The practice has proved that the control method of quay crane driver is the key factor affecting the life of trolley track of quay crane.The smooth control plays a vital role in preventing the accidental impact of trolley track.It is of great significance to dig out the driver's control mode and explore its life of trolley track.In order to study the influence of different maneuvering of drivers on the fatigue life of trolley track of quayside container bridge crane,the stress data and PLC data of two months were collected,and the fatigue life of trolley track was analyzed.Firstly,the ART neural network clustering algorithm was used to classify the driver's manipulation mode data,and then the stress data corresponding to each type of manipulation were compressed with the peak value and the invalid amplitude was removed.Then the amplitude statistical histogram was obtained by the rain-flow counting method.Finally,the Miner's rule was used to calculate the fatigue life of the trolley track under three types of manipulation.The results show that the fatigue life of the four measuring points of the trolley track under the third type is better than that of the first type and the second type.The results of this study can provide a reference for the operation training of port drivers,and also provide a basis for manufacturers to improve the design of trolley track.