In this study, an automated cable monitoring system using a NDE technique and a cable climbing robot is proposed. MFL (Magnetic Flux Leakage- based inspection system was applied to monitor the condition of cables. This inspection system measures magnetic flux to detect the local faults (LF) of steel cable. To verify the feasibility of the proposed damage detection technique, an 8-channel MFL sensor head prototype was designed and fabricated. A steel cable bunch specimen with several types of damage was fabricated and scanned by the MFL sensor head to measure the magnetic flux density of the specimen. To interpret the condition of the steel cable, magnetic flux signals were used to determine the locations of the flaws and the level of damage. Measured signals from the damaged specimen were compared with thresholds set for objective decision making. In addition, the measured magnetic flux signal was visualized into a 3D MFL map for convenient cable monitoring. Finally, the results were compared with information on actual inflicted damages to confirm the accuracy and effectiveness of the proposed cable monitoring method.
This paper presents an auto-mesh generation technique using KIESSI (KAIST Infinite Elements for Soil-Structure Interaction) of near field zone for soil-structure interaction analysis (SSI). The working principle of KIESSI is based on coupled three dimensional finite element-infinite element methodology. Also, KIESSI is based on finite element method (FEM) for structure and near-field soil medium and infinite element method for layered half-space far-field. This study utilizes the auto mesh generation technique of near field zone on KIESSI package. The verification example for the effectiveness of automatically meshing technique may be shown through a compliance analysis of layered surface footing. For application example, seismic response analysis at a typical nuclear power plant is carried out in consideration of SSI. The obtained floor response spectrum results in good agreement as compared with the measured response data and the results from SSI analysis package such as SASSI (A System for Analysis of Soil-Structure Interaction).
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