Fatigue monitoring method and life prediction method of quay crane structure

Abstract

The invention relates to a fatigue monitoring method and a life prediction method of a quay crane structure in the technical field of equipment performance monitoring, and the method comprises the following steps: building a quay crane model, and analyzing the macroscopic stress data of a quay crane to obtain a first stress point set; establishing a finite element analysis model, and inputting the first stress point set into the finite element analysis model to obtain a second stress point set; formulating a data acquisition scheme, and obtaining actual stress data; obtaining time period operation data of the quay crane to obtain historical simulation data, and inputting the historical simulation data into the finite element analysis model to obtain model simulation stress data; verifying the reliability of the simulation stress data of the model according to the actual stress data, and correcting the quay crane model and the finite element analysis model; according to the corrected finite element analysis model, corrected model simulation stress data of the quay crane is obtained, a stress spectrum is generated, the method has the advantage of being high in accuracy, and the bottleneck that fatigue monitoring obtained through a traditional fatigue monitoring method is not accurate is broken through.

Description

technical field [0001] The invention relates to the technical field of equipment performance monitoring, in particular to a fatigue monitoring method and life prediction method of a quay bridge structure. Background technique [0002] In engineering practice, quay bridges, also known as lifting and transportation equipment, play an irreplaceable role in economic construction. The force of lifting machinery is complex during operation, not only by the dynamics generated during the lifting and transportation of goods It is also subject to uncertain forces such as wind load and earthquake load. Various forces superimpose on the hoisting machinery, which will cause cracks in some local stress concentration parts of the hoisting machinery and affect its service life. [0003] At the same time, after many years of use, the metal structures of port cranes have more or less failed. Although they have not reached the end of their life, fatigue cracks of different sizes have appeared....

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Problems solved by technology

[0002] In engineering practice, quay bridges, also known as lifting and transportation equipment, play an irreplaceable role in economic construction. The force of lifting machinery is complex during operation, not only by the dynamics generated during the lifting and transportation of goods It is also subject to uncertain forces such as wind load and earthquake load. Various forces superimpose on the hoisting machinery, which will cause cracks to appear in some local stress concentration parts of the hoisting machinery and affect its service life.

[0003] At the same time, after many years of use, the metal structures of port cranes have more or less failed. Although they have not reached the end of their life, fatigue cracks of different sizes have appeared. How fatigued are these cranes and whether they can continue Safe use and how long it can be used safely will become a matter of great concern to the crane user department. With the development of the economy, not only the demand for hoisting machinery is expanding, but the hoisting machinery is also developing towards large-scale and complex , the accompanying crane accidents and risk factors are also constantly increasing. These cranes have entered the late service or overdue service stage, and the probability of fatigue damage to the cranes with structural damage is quite high, which has constituted a serious threat to safe production. great potential threat

[0004] In response to this security threat, the traditional online monitoring of crane fatigue often has the problem that the accuracy of fatigue monitoring cannot be guaranteed due to the fact that the actual crane operating conditions are not considered, which in turn affects the life prediction and maintenance plan of the crane. formulation

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