• Journal of the Korean Geotechnical Society
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• v.15 no.4
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• pp.19-42
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• 1999

In urban area, there are several major factors to be considered in tunnel design and construction. The first is to predict the magnitude and distribution of ground movements for particular ground conditions and construction procedures. The second is to assess the potential damage to nearby structures in response to the predicted ground movements. The third is to select the measures to be taken if a potential damage is foreseen. This study is concerned primarily with the first and second stages of the problem. Particularly, this paper is focused on the second stage to assess the potential damage to the nearby building with any type of geometries and locations above ground surface. In order to solve this problem, we introduced damage parameters(angular distortion, deflection ratio, maximum building settlements, maximum differential settlements, horizontal strain, etc.), and extended these parameters into 3-dimensional safety assessment. Also, to assess the safety of any walls existing in the building, we developed a 3-dimensional analysis program, and various parametric studies for the nearby building with any type of geometries and locations were presented. In addition to these parametric studies, we compared the results of the proposed techniques with some abroad case records for particular tunnels and adjacent buildings.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.25 no.4
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• pp.287-292
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• 2012

In this study, Multi-Channel Magnetic Flux Leakage(MFL) sensor - 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 magnetic flux density values measured from every channel were summed to focus on the detection of axial location. And, sum of flux density were displayed with threshold. Finally, the results were compared with information on actual inflicted damages to confirm the accuracy and effectiveness of the proposed cable monitoring method.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.33 no.6
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• pp.359-366
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• 2020

In this study, a simulation-based damage estimation method for helidecks is proposed using an artificial neural network. The structural members that share a connecting node in the helideck are regarded as a damage group, and a total of 37,400 damage scenarios are numerically generated by applying randomly assigned damage to up to three damage groups. Modal analysis is then performed for all the damage scenarios, which are selectively used as either training or validation or verification sets based on the purpose of use. An artificial neural network with three hidden layers is constructed using a PyTorch program to recognize the patterns of the modal responses of the helideck model under both damaged and undamaged states, and the network is successively trained to minimize the loss function. Finally, the estimated damage rate from the proposed artificial neural network is compared to the actual assigned damage rate using 400 verification scenarios to show that the neural network is able to estimate the location and amount of structural damage precisely.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.22 no.5
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• pp.445-452
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• 2009

In this paper, damage detection procedure using the finite element model updating was formulated and applied to a small-scale frame structure. FE model updating is the analytical method which finds the mathematical model that generates the measured dynamic properties similarly, and can be effectively used for the damage detection and SHM. For model updating, several kinds of dynamic properties, such as the natural frequencies, mode shapes, and frequency response functions, can be used as the inputs. In this paper, two kinds of model updating procedures using the natrual frequency and the frequency response function, and the natrual frequency and the mode shapes, respectively, were applied to identify the location and the severity of damage of the test structure, which is a four-story two bay steel structure. Results from the damage detection showed that more accurate identification results was obtained when the natrual frequency and the frequency response function were used than when the natrual frequency and the mode shapes were used.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.565-570
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• 2024

Recently, due to adjacent excavation work such as new buildings and common tunnel expansion concentrated around the urban railway, deformation of the underground box and tunnel structure of the urban railway built underground has occurred, and as a result, repair and reinforcement work is frequently carried. In addition, the subway is responsible for large-scale transportation, so ensuring the safety and drivability of underground structures is very important. Accordingly, an automated measurement system is being introduced to manage the safety of underground box structures. However, there is no analysis of structural damage vulnerabilities caused by subsidence or uplift of underground box structures. In this study, we aim to analyze damage vulnerabilities for safety monitoring of underground box structures. In addition, we intend to analyze major core monitoring locations by modeling underground box structures through numerical analysis. Therefore, we would like to suggest sensor installation locations and damage vulnerable areas for safety monitoring of underground box structures in the future.

• Journal of the Korean Society for Nondestructive Testing
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• v.23 no.5
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• pp.439-444
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• 2003

Acoustic emission(AE) ran be very effectively applied to locate the damaged area in large structures by detecting the elastic waves generated during the damage process within solids. Source location in the composite structures has been, however, extremely difficult due to the acoustic anisotropy with the velocity dependence on fiber orientations. In this study, it has been shown that a newly proposed method for 2-D source location of anisotropic structures is practically applicable to the real structure. The method employes wave velocities obtained with different velocities from $0^{\circ}\;to\;90^{\circ}$ for a filament wound composite pressure vessel under the air-filled and the water-filled conditions.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2002.04a
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• pp.267-273
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• 2002

이 논문은 계측신호 분석에 의한 교량구조물의 건전성 모니터링에 관한 것으로, 2 단계 인공신경망을 사용한 구조물의 손상발견 기법에 대하여 제안하고 있다. 첫 번째 단계의 인공신경망은 구조물로부터 측정된 가속도 신호를 입력으로 사용하여 각각의 가속도계로부터 측정된 신호의 변형정도를 나타내는 신호변형지수를 출력하도록 설계되었다. 손상의 발생 여부를 나타내는 첫 번째 단계 인공신경망의 출력값은 다시 두 번째 단계 인공신경망의 입력으로 사용되어 손상의 위치와 정도를 파악하는데 쓰여진다. 모형교량을 사용한 실험으로부터 얻어진 가속도신호를 사용하여 제안된 방법의 타당성을 확인하였으며, 항후 실 교량에 대한 실험을 통하여 현장 적용의 가능성을 확인할 계획이다.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.6
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• pp.679-690
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• 1998

미국 오하이오주 남서쪽에 위치한 Seip 토루군(100 B.C.-A.D. 500경)의 출토유물들에 대하여 현미경으로 관찰되는 인피섬유의 형태학적 손상을 분석하였다. 형태학적 손상이란 외부로부터의 물리적 혹은 화학적 요인에 의해 섬유은 표면과 내면에 발생하는 형태변형을 말한다. Seip직물에 포함된 인피섬유의 형태학적 손상 정도는 본 연구를 위해 제작된 인피섬유손상지로(IBFM)의 점수의 합으로 나타내었다. Seip직물들은 육안으로 보았을 때 우선 숯과 같이 검은 색을 띄고 있는 직물들과 그렇지 않은 직물군으로 분류되었는데 발굴보고서에 설명된 시신과 관련 부장품들의 수습상황으로 미루어 볼 때 검게 된 직물군은 부분적으로 하장된 시신의 부장품이었으며 검게 되지 않은 직물군은 일반매장된 시신의 부장품으로 보였다. Seip직물들은 다시 서로 다른 조직에 따라 분류되는 직물군으로 나뉘어 질 수 있었는데 본 연구에서는 이들 중 가장 빈번히 보이는 교차쌍 위사 트와인조직(Spaced alternate-pair weft-twining)으로 만들어진 직물군과 그 밖의 조직으로 되어 있는 직물군으로 나누고 이들을 각각 얼터씨이트(Alternate)와 기타조직(Pooled)으로 명명하였다. 본 연구에서는 Seip직물들 간에 매장법에 의해 손상정도의 차이가 발생했으며 특히 부븐적으로 화장된 직물과 그대로 묻혀진 직물들 간에 섬유손상 정도의 차이가 있었을 것으로 좌고 이를 확인하기 위해 검게된 직물군과 검게 되지 않은 직물군 간에, 그리고 얼터네이트와 기타조직으로된 직물군들 간에 IBFM 점수의 차이가 있는지 조사하였다. 섬유의 형태학적 손상은 광학현미경과 주사전자현미경을 사용하여 분석하였으며 분석에 이용된 총 샘플수는 총 132개였다. 수집된 데이터는 t-test를 이응하여 분석 하였다. T-test의 분석결과 Seip 직물들은 검게된 직물군과 검게되지 않은 직물군 사이에서 유의한 손상 정도의 차이를 볼 수 있었으며 반면에 조직에 따른 분류에서는 유의한 차이를 볼 수 없었다. IBFM의 평군점수를 비교하면 검게된 직물군보다 검게되지 않은 직물군이 더 높은 점수를 나타내어 후자가 더 많이 손상된 것으로 보여졌다. 7개의 손상형태를 독칩적으로 보았을 때 섬유속의 분리정도 (degree of bundle separation) , 횡금(transverse crack) , 그리고 횡선 (transverse striations) 이 검게된 직물군과 검게 되지 않은 직물군 사이에서, 섬유속의 분리정도, 종금(lengthwise striations)과 횡금이 얼터네이트와 기타조직 사이에서 각각 유의한 차이를 보였다.

• Journal of Korean Association for Spatial Structures
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• v.4 no.2 s.12
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• pp.73-80
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• 2004

In this paper, a study of damage detection for 2-Dimensional Truss Structures using the parametric projection filter theorr is presented. Many researchers are interested in inverse problem and one of solution procedures for inverse problems that are very effective is the approach using the filtering algorithm in conjunction with numerical solution methods. In filtering algorithm, the Kalman filtering algorithm is well known and have been applied to many kind of inverse problems. In this paper, the Parametric projection filtering in conjunction with structural analysis is applied to the identification of damages in 2-D truss structures. The natural frequency and modes of damaged truss model are adopted as the measurement data. The effectiveness of proposed method is verified through the numerical examples.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.36 no.6
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• pp.550-557
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• 2008

Delamination damage at a bolt hole in a composite stiffened panel was detected using a built-in piezoelectric active sensor array. Various signal processing techniques were used to detect an invisible small scale delamination around a fastener hole due to localized transverse loading. A built-in piezoelectric sensor array was used to generate diagnostic signals and to measure response signals. Then, the response signals were processed to extract damage-sensitive features. Damage indexes were calculated to estimate the severity and location of the damage from the features.