• Smart Structures and Systems
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• 제32권5호
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• pp.309-318
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• 2023

The appropriate maintenance of highway roads is critical for the safe operation of road networks and conserves maintenance costs. Multiple methods have been developed to investigate the surface of roads for various types of cracks and potholes, among other damage. Like road surface damage, the condition of expansion joints in concrete pavement is important to avoid unexpected hazardous situations. Thus, in this study, a new system is proposed for autonomous expansion joint monitoring using a vision-based system. The system consists of the following three key parts: (1) a camera-mounted vehicle, (2) indication marks on the expansion joints, and (3) a deep learning-based automatic evaluation algorithm. With paired marks indicating the expansion joints in a concrete pavement, they can be automatically detected. An inspection vehicle is equipped with an action camera that acquires images of the expansion joints in the road. You Only Look Once (YOLO) automatically detects the expansion joints with indication marks, which has a performance accuracy of 95%. The width of the detected expansion joint is calculated using an image processing algorithm. Based on the calculated width, the expansion joint is classified into the following two types: normal and dangerous. The obtained results demonstrate that the proposed system is very efficient in terms of speed and accuracy.

• 한국산업경영시스템학회:학술대회논문집
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• 한국산업경영시스템학회 2002년도 춘계학술대회
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• pp.25-30
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• 2002

The problem of qualitative reliability system is very important issue in the digitalized nuclear power plant, because the failure of its system brings about extravagant economic loss, extensive environment destruction, and fatal damage of human. Therefore this study is to develop the reliability evaluation model through the normalized scoring model by the quantitative and qualitative factors considering the advanced safety factors In the Advanced Pressurized water Reactor 1400MWe(APR 1400) under uncertainty Especially, the qualitative factors considering the information and human factors for the systematic and rational justification have been closely analyzed. The reliability evaluation model can be simply applied in real fields in order to minimize the industrial accident and human error in the digitalized nuclear power plant.

• 한국안전학회지
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• 제38권3호
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• pp.61-68
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• 2023

This study performed a structural performance evaluation of a system scaffolding for elevator installation work developed in previous studies. The structural performance was evaluated via a structural test conducted to apply the working load specified in the design standard. The deflection of the horizontal member and the stress of each member constituting the system scaffolding were measured. Consequently, the structural safety evaluation including structural behavior and required performance was performed using the deflection and stresses measured from the structural test. The structural test and safety evaluation results based on the heavy working load corresponding to the design load indicated that the deflection, which is the performance criterion of the horizontal member, did not exceed the allowable value. Further, each member's stress, which is a safety evaluation indicator, did not exceed the allowable strength for both horizontal and vertical members with bending behavior and fordable bracing with tensile behavior, while also satisfying the required safety factor. In addition, the results confirmed the safety against deformation, partial damage, and destruction owing to excessive and maximum load. Therefore, the system scaffolding developed in this study satisfies both the structural performance and safety required by the design standards; thus, it can be applied to elevator installation work sites.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2003년도 가을 학술발표회 논문집
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• pp.144-147
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• 2003

This paper presents a nonlinear finite element analysis procedure for the seismic performance assessment of reinforced concrete bridge piers using damage indices. The accuracy and objectivity of the assessment process may be enhanced by the use of sophisticated nonlinear finite element analysis program. A computer program, named RCAHEST(Reinforced Concrete Analysis in Higher Evaluation System Technology), for the analysis of reinforced concrete structures was used. Damage indices aim to provide a means of quantifying numerically the damage reinforced concrete bridge piers sustained under earthquake loading. The proposed numerical method for the seismic performance assessment of reinforced concrete bridge piers is verified by comparison with the reliable experimental results.

• Smart Structures and Systems
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• 제14권4호
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• pp.569-594
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• 2014

Damage detection methods based on modal analysis have been widely studied in recent years. However the calculation of mode shapes in real structures can be time consuming and often requires dedicated software programmes. In the present paper the combined application of proper orthogonal decomposition and gapped smoothing method to structural damage detection is presented. The first is used to calculate the dynamic shapes of a damaged structural element using only the time response of the system while the second is used to derive a reference baseline to which compare the data coming from the damaged structure. Experimental verification is provided for a beam case while numerical analyses are conducted on plates. The introduction of a stiffener on a plate is investigated and a method to distinguish its influence from that of a defect is presented. Results highlight that the derivatives of the proper orthogonal modes are more effective damage indices than the modes themselves and that they can be used in damage detection when only data from the damaged structure are available. Furthermore the stiffened plate case shows how the simple use of the curvature is not sufficient when analysing complex components. The combined application of the two techniques provides a possible improvement in damage detection of typical aeronautical structures.

• Smart Structures and Systems
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• 제14권2호
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• pp.159-189
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• 2014

One of the most important requirements in the evaluation of existing structural systems and ensuring a safe performance during their service life is damage assessment. Damage can be defined as a weakening of the structure that adversely affects its current or future performance which may cause undesirable displacements, stresses or vibrations to the structure. The mass and stiffness of a structure will change due to the damage, which in turn changes the measured dynamic response of the system. Damage detection can increase safety, reduce maintenance costs and increase serviceability of the structures. Artificial Neural Networks (ANNs) are simplified models of the human brain and evolved as one of the most useful mathematical concepts used in almost all branches of science and engineering. ANNs have been applied increasingly due to its powerful computational and excellent pattern recognition ability for detecting damage in structural engineering. This paper presents and reviews the technical literature for past two decades on structural damage detection using ANNs with modal parameters such as natural frequencies and mode shapes as inputs.

• Earthquakes and Structures
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• 제23권4호
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• pp.339-352
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• 2022

Due to the large volume and generally as a public building, the damage of large-span space structures under various non-conventional loads will cause greater economic losses, casualties, and social impacts, etc. Therefore, it is particularly important to evaluate the seismic performance of large-span space structures. This paper taked a multipurpose sports center as an example and considered its synergistic deformation based on the method of equivalent damping ratio. Furthermore, The ABAQUS software was used to analyze the time-history and energy response of the multipurpose sports center under the action of rare earthquakes, and proposed a quantitative damage index to assess the overall damage of the structure. Finally, the research results indicated that the maximum inter-story drift ratio of the multipurpose sports center under the action of rare earthquakes was less than its limit value. The frame beams presented different degrees of damage, but the key members were basically in an elastic state. The bearing capacity did not reach the limit value, which satisfied the intended seismic performance target. This study taked an actual case as an example and proposed a relevant damage evaluation system, which provided some reference for the analysis of the seismic performance of large-span space structures.

• 한국지반공학회논문집
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• 제38권7호
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• pp.5-24
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• 2022

현행 비탈면 앵커공법의 보강성능평가는 앵커 두부와 지반밀착도, 앵커 두부의 균열 및 파손에 대해서 정성적으로 성능을 평가하고 있다. 이로 인해 성능저하 상태 점검을 위한 정량적 데이터베이스화와 이를 이용한 시간이력 관리는 어려운 실정이다. 이에 본 연구에서는 비탈면에 설치된 앵커공법의 정량적 유지관리에 활용하기 위하여 UAS 영상과 지상 LiDAR의 사각지대를 보완하기 위한 SfM기반의 조합 3차원 수치모형을 구현하여 손상인자의 수치데이터를 검출하였다. 비탈면과 같은 수직구조물에서 상대적으로 높은 z 좌표 오차를 갖는 UAS 3차원 수치모형에서 사각지대 데이터 공백을 상호 보완하기 위하여 지상 LiDAR 스캔 데이터를 조합하였고 z 좌표 정확도의 향상을 확인하였다. 비탈면에 설치된 10공의 앵커에 임의로 손상을 발생시킨 후에 3차원 수치모형을 구축하였고 정사투영을 통해 균열, 파손, 회전변위와 지반 밀착도에 대한 수치 값을 검출하였다. 8K 해상도로 균열 실측값과 비교시 ±0.05mm의 오차범위에서 0.3mm 미만의 균열 검출이 가능하였다. 앵커 두부의 최대 파손 면적은 설계대비 3% 이내로 발생된 것을 확인하였고, 파손부의 체적 또한 검출하였다. 특히 z 좌표 데이터가 중요한 지반밀착도의 경우 UAS 3차원 수치모형에서는 사각지대로 인한 데이터 공백으로 측정이 불가능하였지만 지상 LiDAR를 조합할 경우 앵커 저면과 지반의 불규칙한 표면에서 표고차 확인이 가능하여 임의의 20개 지점의 평균 표고차를 지반밀착도로 도출하였다. 또한, 앵커 두부의 1° 미만의 회전각과 이동 변위 값도 검출하였다. 이에 본 연구에서 구축한 3차원 수치모형에서 앵커 손상인자의 정량적 데이터 추출이 가능하였고, 이를 데이터베이스화 한다면 정량적 평가지표의 기초자료로써 활용이 가능할 것으로 판단된다.

• Structural Engineering and Mechanics
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• 제7권4호
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• pp.387-400
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• 1999

Damage detection in civil engineering structures using the change in dynamic system parameters has gained a lot of scientific interest during the last decade. By repeating a dynamic test on a structure after a certain time of use, the change in modal parameters can be used to quantify and qualify damages. To be able to use the modal parameters confidentially for damage evaluation, the effect of other parameters such as excitation type, ambient conditions,... should be considered. In this paper, the influence of excitation type on the dynamic system parameters of a highway prestressed concrete bridge is investigated. The bridge, B13, lies between the villages Vilvoorde and Melsbroek and crosses the highway E19 between Brussels and Antwerpen in Belgium. A drop weight and ambient vibration are used to excite the bridge and the response at selected points is recorded. A finite element model is constructed to support and verify the dynamic measurements. It is found that the difference between the natural frequencies measured using impact weight and ambient vibration is in general less than 1%.

• 한국습지학회지
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• 제25권4호
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• pp.345-352
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• 2023

최근 전 세계적으로 겨울철 자연재해인 대설 재해 위험이 커지고 있다. 대한민국 강설의 특징은 지역별 차이가 있는 것이 특징으로, 대설 피해를 줄이기 위한 연구가 많이 진행되고 있으나, 지역별 특성을 반영하지 못한 연구 결과가 제시되고 있다. 본 연구에서는 대한민국의 대설 취약성 평가를 실시하기 위해 PSR 방법과 DPSIR 방법을 사용하였고, 평가 결과 두 가지 평가 방법을 비교하여 신뢰할 수 있는 대설 위험지역을 제시하고자 하였다. PSR 방법은 압력지수, 상태지수, 반응지수로 구분되며, DPSIR 방법은 추진력, 압력, 상태, 영향, 대책 지수로 구분된다. 각 지표에 해당하는 데이터를 수집하고, 엔트로피 가중치 산정방법을 이용하여 가중치를 계산하여 우리나라 전 지역의 대설 취약성 지수를 산출하였다. 최근 2018년부터 2022년까지 대한민국의 대설 피해를 기준으로 PSR과 DPSIR 방법을 이용하여 산출한 지수를 비교한 결과 DPSIR 방법을 이용하여 산출된 취약성 지수가 더 신뢰할 수 있는 결과를 보였다. 본 연구의 결과 대설 피해 발생 시 대설 취약성 지수가 높은 지역을 선제적으로 대비할 수 있고, 효율적인 제설대응체계를 구축할 수 있을 것으로 기대된다.