In-service 16Mn steel load-bearing member deformation damage condition characteristic and quantitative evaluation system based on double-spectrum analysis

Abstract

The invention discloses an in-service 16Mn steel load-bearing member deformation damage condition characteristic and quantitative evaluation system based on double-spectrum analysis. In the system, an original waveform signal extracting unit (1) is used to perform analog-to-digital conversion of multipath sensing information Sn and output acoustic emission waveform information f0(T); a double-spectrum estimation module (21) adopts the double-spectrum analysis method to process the acoustic emission waveform information f0(T) and obtain double-spectrum estimation B(omega1, omega2), then a double-spectrum diagonal slice module (22) is used to perform diagonal slice analysis of the double-spectrum estimation B(omega1, omega2) and obtain double-spectrum diagonal slice information omega(F), and finally a deformation damage condition peak frequency analyzing module (23A) is used to process the diagonal slice information omega(F) and output a deformation damage condition matrix, namely K=[N,F0, D0], to a deformation damage level evaluating unit (3) and an early warning unit (4) for evaluating and alarming. The invention uses the acoustic emission technology to monitor in-service 16Mn steel load-bearing member to obtain deformation damage condition information which is presented by acoustic emission signal and adopts double-spectrum analytic method to perform quantitative evaluation to the deformation damage condition and evaluate the deformation damage level. The system of the invention can be applied to perform intuitive, quantitative and real-time evaluation and judgment to the deformation damage condition of 16Mn steel load-bearing member so as to alarm and reduce the losses of equipment, personal casualty and the like.

Description

technical field [0001] The invention relates to a quantitative evaluation of the deformation and damage state of the load-bearing parts in the large-scale mechanical equipment of the port, more particularly, it refers to a method of using bispectrum analysis method to carry out the load-bearing analysis of 16 manganese steel (16Mn steel) in service. A system for characterizing and quantitatively evaluating the deformation and damage state of parts. Background technique [0002] 16Mn steel is often used as the key load-bearing parts for shoreside equipment in large-scale mechanical equipment in ports: such as ship loaders, ship unloaders, grabs, etc. After the shore equipment has been used for a period of time, the deformation and damage state of the 16Mn steel as the main load-bearing part will have an important impact on the service life of the entire shore equipment. [0003] 16Mn steel is a low-alloy steel developed in combination with our country's resources (manganese ...

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Problems solved by technology

[0008] 2. The task is heavy. With the expansion of production scale, the work of many cranes is becoming more and more heavy, and overloading occurs from time to time;

[0009] 3. The current damage detection methods have different degrees of limitations in the detection of large steel structures. For example, ultrasonic testing and magnetic particle testing are used for partial sampling testing of cranes, which is blind, prone to missed inspections, and long detection cycles. , heavy workload and high cost;

[0010] 4. The early warning and evaluation system is not perfect at present, and the analysis and discrimination technology currently applied cannot make accurate early warning and safety assessment for the deformation damage of the load-bearing parts of the crane, especially the safety accidents of large-scale mechanical equipment in my country's ports occur from time to time. Among them, Tensile deformation damage caused by overloading is one of the main damage modes of load-bearing parts of large shore cranes in ports

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