Method and device for detecting fatigue damage of cable

Abstract

The invention discloses a method and device for detecting fatigue damage of a cable.The method includes the steps that an excitation sensor and a receiving sensor are installed on the cable; the excitation sensor is controlled to generate excitation guide waves, and the receiving sensor acquires a time domain waveform graph of passing signals; according to the time domain waveform graph, amplitude values corresponding to base frequency and doubled frequency components in the passing signals are acquired; non-linear acoustic parameters are obtained according to the amplitude values, and the fatigue damage state of the cable is determined according to the non-linear acoustic parameters.The device is used for achieving the method and comprises a signal generation module, a signal receiving module and a signal processing module.Detection on micro-damage of the cable is achieved by acquiring the non-linear acoustic parameters caused by the micro-damage of the cable, and the advantages of being high in detection precision, facilitating detection and the like are achieved.

Description

technical field [0001] The invention belongs to the technical field of non-destructive testing, and more specifically relates to a method and device for detecting cable fatigue damage. Background technique [0002] Cables are widely used in structures such as cable-stayed bridges, suspension bridges, and Ferris wheels. As the key stress-bearing components of the above-mentioned structures, their detection is of great significance to ensure the safety of the structure. Assess the health of the rope. In recent years, non-destructive testing technology has begun to be applied to the macro-defect detection of cables, such as magnetic flux leakage detection technology and magnetostrictive guided wave detection technology. [0003] Due to the advantages of fast and high precision, magnetic flux leakage testing is widely used in non-destructive testing of pipelines and cables. However, this detection method can only detect the area where the sensor reaches, and is a local scanning...

AI Technical Summary

Problems solved by technology

[0005] The above two methods and devices can only detect macroscopic defects after metal loss, but are powerless to detect fatigue damage without metal loss

However, the cable will produce fatigue damage under long-term high-intensity cyclic loading, and the fatigue damage only manifests as microstructural changes such as lattice dislocations within 80%-95% of the entire life cycle. This type of microscopic damage is difficult to be detected by conventional macroscopic The defect detection method detects

Images