Tension Force Monitoring of Main Cable

Deng, Yang; Li, Aiqun

doi:10.1007/978-981-13-3347-7_9

Cited by 1 publication

(1 citation statement)

References 26 publications

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“…According to the EM effect, an excitation magnetic field is required to magnetize the ferromagnetic component. The ferromagnetic component’s stress can be ascertained by measuring the change of the magnetic permeability of the component [30,31]. The existing EM-based sensor contains a primary coil and an induction unit [32].…”

Section: Introductionmentioning

confidence: 99%

Cable Tension Monitoring Based on the Elasto-Magnetic Effect and the Self-Induction Phenomenon

Zhang

Zhou

et al. 2019

Materials

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Cable tension monitoring is important to control the structural performance variation of cable-supported structures. Based on the elasto-magnetic effect and the self-induction phenomenon, a new non-destructive evaluation method was proposed for cable tension monitoring. The method was called the elasto-magnetic induction (EMI) method. By analyzing the working mechanism of the EMI method, a set of cable tension monitoring systems was presented. The primary coil and the induction unit of the traditional elasto-magnetic (EM) sensor were simplified into a self-induction coil. A numerical analysis was conducted to prove the validity of the EMI method. Experimental verification of the steel cable specimens was conducted to validate the feasibility of the EMI method. To process the tension monitoring, data processing and tension calculation methods were proposed. The results of the experimental verification indicated that different cables of the same batch can be calibrated by one proper equation. The results of the numerical analysis and the experimental verification demonstrated that the cable tension can be monitored both at the tension-applying stage and the tension-loss stage. The proposed EMI method and the given monitoring system are feasible to monitor the cable tension with high sensitivity, fast response, and easy installation.

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Section: Introductionmentioning

confidence: 99%