본 연구에서는 다채널 자속누설 센서를 이용하여 강케이블의 국부손상을 검색하였다. 먼저 자속누설 기법을 고정된 케 이블 구조물에 적용하기 위해 프로토타입의 8채널 자속누설 센서헤드를 제작하였고, 국부손상이 발생한 케이블을 구현하 기 위하여 PVC 파이프에 강케이블을 채워 강케이블 다발 시편을 제작하였고, 케이블 시편 외부 및 내부에 다양한 크기 및 방향을 가지는 국부손상을 단계적으로 발생시켰다. 이와 같이 제작된 강케이블 시편을 대상으로 각 손상단계에서 자속누설 센서헤드를 이용하여 자속신호를 스캔하고 출력전압으로 표현하였다. 이어서 일반극치분포를 이용해 손상유무를 판단할 수 있는 기준이 되어줄 임계값을 설정하였고, 이를 각 채널에서 계측된 자속신호와 비교하여 객관적인 손상판단을 수행하 였다. 또한 케이블 모니터링에 있어 가장 중요한 정보인 손상의 길이방향 위치를 효과적으로 검색하기 위해 모든 채널의 자속값을 합하여 총합값의 형태로 임계값과 함께 나타내었다. 최종적으로 임계값을 초과한 부분의 길이방향 및 원주방향 위치를 실제 손상과 비교함으로써 본 기법의 국부손상 검색 가능성을 살펴보았다.

가진력의 영향을 평가하기 위해 이용되는 압전소자와 물체의 변형량을 분석하기 위해 사용되는 광섬유 센서와 변형 게이지는 각종 시험과 실험에 널리 사용되고 있다. 본 연구에서는 케이블 시스템에서 발생한 손상을 검토하기 위해 압전소자와 광섬유센서를 이용하였다. 케이블 시스템은 압축이나 휨이 발생하지 않고 막구조에서 단지 인장력을 분담한다. 그러나 기존의 안전진단법을 이용하여 케이블 시스템의 손상을 판단하는 것은 전체구조의 특이한 구조거동 등으로 검토하기 어렵다. 인장부재에서 케이블의 풀림과 할렬이 발생하면 진동을 유발하기 때문에 압전소자를 케이블의 손상을 검토하기 위해 이용하였으며, 이를 광섬유 센서를 이용한 실험의 결과와 비교하였다. 본 연구는 인장응력 하에 케이블 시스템의 손상을 검토하는 방법을 제안하기 위한 실험적 연구이다.

본 논문에서는 가속도계로 측정된 교량 데이터를 딥러닝 기법 모델로 분석하여 교량의 케이블 손상 위치를 예측하는 연구를 진행하였다. 먼저 서해대교 1/200 스케일로 제작된 모형에 8개의 가속도계를 부착, 케이블 위치별 손상 시나리오를 5개로 나누어 해당 케이블을 교량에서 해체했다. 그리고 교량 중심에 일정한 충격을 주어 가속도계로 충격 데이터를 수집하였다. 수집한 데이터 중 70%를 Train set으로 선전하여 딥러닝 모델에 학습시키고, 나머지 30%를 Test set으로 선정하여 모델에 테스트 한 결과 평균 89%의 정확도로 케이블 손상 위치를 예측하였다.

A damage case of parallel strand cable anchorage was introduced, in which 7 strands were slipped from each wedge at the anchorage of the cable stayed bridge in service. Also, a cable damage detection scheme was proposed on the basis of tension force measurement and model updating method by least square estimation to minimize tension variation. The proposed scheme has been verified from analytical simulations and the actual damage case. The damaged cable leading to tension variation more than noise level of cable force measurement was successfully detected with 7~8 strands damage indication of 2% error in the actual strand slippage case.

Currently, the cable safety management of cable supported bridges is calculated by the ratio of the measured tension to the design tension. The measurement of the tension is performed by indirectly estimating the acceleration measured at the cable surface in terms of the tension. The method of converting the cable vibration response (acceleration) into the tension is disadvantageous in that the damage of the individual strand (or wire) in the cable is not clearly reflected in the tension because the measurement is not reliable and is managed only by the total tension. The purpose of this study is to improve the cable safety management system by evaluating how the damage of individual strand of MS type cable, which is mainly applied to cable-stayed bridges, affects the safety level managed by level of cable tension.

This paper aims to evaluate the safety of the cable supported bridges under the occurrence of damages on cable system. There are more than 50 cable supported bridges currently built in the Korean peninsula and efficient and systematic maintenance and management are in great demand. However, safety of the bridges cannot be under estimated and should be properly evaluated. In this paper, two bridges (one cable-stayed bridge and one suspension bridge) in South Korea were investigated their safety based on the damage scenario of cable system. FEM analysis for safety evaluation of the two bridges was conducted and the results were explained. The result could be used by operators and owners of bridges for the future maintenance and management.

This paper introduces and summarizes damage cases of cable for cable supported bridges. The damage cases of similar bridge types may become an important database in the maintenance and management of cable supported bridges in the future. It will also be used as a base material for improving and developing the technology of inspection and maintenance of cable supported bridges.

This paper introduces and summarizes damage cases of cable for cable supported bridges. The damage cases of similar bridge types may become an important database in the maintenance and management of cable supported bridges in the future. It will also be used as a base material for improving and developing the technology of inspection and maintenance of cable supported bridges.

대표적인 장대교량 형식인 사장교는 공용 중에 케이블 손상이 발생하는 경우 전체 구조계의 손상을 유발할 수 있으므로 신속한 유지관리가 필요하다. 손상발생 이후 대응시간을 가능한 단축하기 위해서 손상신호로부터 직접 이상거동을 판단할 수 있는 알고리즘에 대한 많은연구가 진행되고 있다. 이상거동 감지 알고리즘의 정확도를 향상시키기 위해서는 구조물의 다양한 손상에 대한 충분한 양의 계측결과가 필요하다. 그러나 공용중인 교량에 손상을 주어 이상거동을 계측할 수 없으므로 수치적인 방법으로 이상거동을 모사하는 것이 효율적인 대안이 될 수 있다. 사장교 케이블의 손상을 모사하는 지금까지의 연구는 케이블의 강성변화를 단순한 장력변화로만 모사하여 해석하는 방법이주를 이루었다. 이러한 해석방법은 설계목적의 정밀도는 확보할 수 있지만 케이블의 손상에 의한 구조물의 정확한 응답을 재현하지 못한다.본 연구는 사장교의 손상을 모사하기 위해 강성 및 질량의 변화를 고려하는 직접적분법 Gradual Bilinear Method (GBM)을 제안하고 해석프로그램을 개발하였다. 개발된 해석방법을 단순모델을 이용하여 검증하고 실제 사장교모델을 이용하여 손상시각 및 손상지연시간에 따른 응답의 변화를 관찰하였다. 수행된 연구결과는 향후 건축/대형구조물의 안전관리를 위한 고정밀도 이상거동 감지알고리즘을 개발하고검증하는데 활용될 수 있다.

This large diameter cable NDE technique was based on the direct current (DC) magnetization technique and a search coil-based magnetic flux measurement. A total flux sensor head was fabricated that was consisted by a magnetization part to magnetize the specimen and a sensing part to measure the total magnetic flux. The magnetization part was consisted by an electro-magnet yoke that fabricated by winding a coil. The magnetic field for magnetizing the main cable was generated by applying the low frequency DC voltage to the winded coil. The sensing part was configured by two semi-circular search coils, and it measures the electromotive force that pass through the search coil by using the faraday’s law of induction. Total flux was calculated by integrating the measured magnetic flux. Then, B-H curve was extracted using the total flux, and cross-sectional loss can be detected using variation of features from the B-H curve.

This large diameter cable NDE technique was based on the direct current (DC) magnetization technique and a search coil-based magnetic flux measurement. A total flux sensor head was fabricated that was consisted by a magnetization part to magnetize the specimen and a sensing part to measure the total magnetic flux. The magnetization part was consisted by an electro-magnet yoke that fabricated by winding a coil. The magnetic field for magnetizing the main cable was generated by applying the low frequency DC voltage to the winded coil. The sensing part was configured by two semi-circular search coils, and it measures the electromotive force that pass through the search coil by using the faraday’s law of induction. Total flux was calculated by integrating the measured magnetic flux. Then, B-H curve was extracted using the total flux, and cross-sectional loss can be detected using variation of features from the B-H curve.

In this study, an MFL(Magnetic Flux Leakage)-based NDT(non-destructive test) method was applied to detect the inner damages of steel cable. A steel cable bunch specimen with several types of inner damage was fabricated and scanned by a MFL sensor head to measure the magnetic flux density of the specimen.the measured magnetic flux signal was visualized into a 3D MFL image 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.

Since cable members are the major structural components in cable bridges, they should be properly inspected for surface damage as well as inside defects such as corrosion and/or breakage of wires. Starting from August 2010, a new research project supported by Korea Ministry of Land, Transportation Maritime Affairs (MLTM) was initiated to develop the cable inspection robot. In this study, only the vision-based surface damage detection system based on image processing techniques is addressed. The damage detection algorithm combines some image enhancement techniques with principal component analysis (PCA) to detect damages on cable surface. The images from three cameras attached to the cable climbing robot are wirelessly transmitted to the server computer at the cable support. They are processed with image enhancement method together with noise removal technique to improve overall image quality. Then they are projected into PCA sub-space. Finally, the Mahalanobis square distances of the projected images to all sample patterns are calculated. The smallest distance is found to be the match for the input image. The proposed damage detection algorithm was verified through laboratory tests on three types of cables.