철근콘크리트 슬래브교의 노후화 예측모델에 관한 연구

안영기,이채규,이진완,Ahn, Young-Ki,Lee, Chae-Gue,Lee, Jin-Wan 한국구조물진단유지관리공학회 2003 한국구조물진단유지관리공학회 논문집 Vol.7 No.3

교량의 건설계획단계에서 LCC을 고려한 의사결정이나 공용중인 교량의 체계적인 유지관리 전략을 수립하기 위해서도 최소한의 점검결과만으로 노후화를 예측할 수 있는 LCP가 필요하다. 본 연구에서는 국내외 연구결과를 토대로 무리함수 $y=\sqrt{y^2_0-at}$로 표현되는 LCP를 제안하여 국내외연구결과에서 적용한 D/B에 적용한 결과 상관계수가 0.99이상으로 노후화 경향을 표현할 수 있었으며, 전국에 분포되어 있는 슬래브교량을 대상으로 정밀점검 및 정밀안전진단의 BMS를 Fuzzy Logic을 이용하여 정량적 평가하여 회귀분석을 실시한 결과 0.81의 상관계수를 갖는 노후화 예측모델을 도출할 수 있었다. LCP(Life Cycle Profiles) of bridge structures are indispensable for the LCC(Life Cycle Cost) evaluations of bridge system. The bridge under considerations may be newly-designed one or one in service. Thus, a systematic study of LCP is essential for both reliable LCC evaluation and strategic bridge management. LCP is mainly influenced by the structural environment in nature. However, in Korea, LCC evaluation has been performed with the LCP of foreign research results or only with the pieces of professional engineers' opinion. Therefore, to alleviate the drawbacks of foreign LCP and to enhance the reliability of current LCP, LCP should be established using the available data in bridge management system(BMS). In this study, LCP along with a subset of the BMS data was investigated and several mathematical expressions were proposed and evaluated. The condition ratings of a bridge were trasformed into the numerical indices through fuzzy logics with real field data. From the numerical results, it is concluded that the mathematical LCP model of $y=\sqrt{y^2_0-at}$ is shown to be the fittest one (R=0.815) to express the condition rating varied with the age. This has been drawn from the case study of slab bridges under the similar conditions.

뇌전이 환자의 조영 증강 후 지연 FLAIR 영상의 유용성

변재후,박명환,이진완,Byun, Jae-Hu,Park, Myung-Hwan,Lee, Jin-Wan 대한디지털의료영상학회 2014 대한디지털의료영상학회논문지 Vol.16 No.1

Purpose: FLAIR image is beneficial for the diagnosis of various bran diseases including ischemic CVS, brain tumors and infections. However the border between the legion of brain metastasis and surrounding edema may not be clear. Therefore, this study aims to investigate the practical benefits of delayed imaging by comparing the image from a patient with brain metastasis before a contrast enhancement and the image 10 minutes after a contrast enhancement. Materials and methods: Of the 92 people who underwent MRI brain metastases in suspected patients 13 people in three patients there is no video to target the 37 people confirmed cases, and motion artifacts brain metastases in our hospital June-December 2013, 18 people measurement position except for the three incorrect patient (male: 11 people, female: 7 people, average age: 60 years) in the target, test equipment, 3.0T MR System (ACHIEVA Release, Philips, I was 8ChannelSENSE Head Coil use Best, and the Netherlands). TR 11000 ms, TE 125 ms, TI2800 ms, Slice Thickness 5 mm, gap 5 mm, is a Slice number 21, the parameters of the 3D FFE, T2 FLAIR variable that was used to test, TR 8.1 ms, TE 3.7 ms, Slice number 240 I set to. The experiment was conducted by acquiring the FLAIR prior to contrast enhancement (heretofore referred to as Pre FLAIR), and acquiring the 3D FFE CE five minutes after the contrast enhancement, and recomposing the images in an axial plane of S/T 3mm, G 0mm (heretofore referred to as MPR TRA CE). Using the FLAIR 10 minutes after the contrast enhancement (heretofore referred to as Post FLAIR) and Pi-View, a retrospective study was conducted. Using MRIcro on the image of a patient confirmed for his diagnosis, the images before and after the contrast media, as well as the CNR and SNR of the MPR TRA CE images of the lesion and the site absent of lesion were compared and analyzed using a one-way analysis of variance. Results: CNR for Pre FLAIR and Post FLAIR were 34.35 and 60.13, respectively, with MPR TRA CE at 23.77 showing no significant difference (p<0.050). Post-experiment analysis shows a difference between Pre FLAIR and Post FLAIR in terms of CNR (p<0.050), but no difference in CNR between Post FLAIR and MPR TRA CE (p>0.050), indicating that the contrast media had an effect only on Pre FLAIR and Post FLAIR. The SNR for the normal site Pre FLAIR was 106.43, and for the lesion site 140.79. Post FLAIR for the normal site was 107.79, and for the lesion site 167.91. MPR TRA CE for the normal site was 140.23 and for the lesion site 183.19, showing significant difference (p<0.050), and post-experiment analysis shows that there was a difference in SNR only on the lesion sites for Pre FLAIR and Post FLAIR (p<0.050). There was no difference in SNR between the normal site and lesion site for Post FLAIR and MPR TRA CE, indicating no effect from the contrast media (p>0.050). Conclusions: This experiment shows that Post FLAIR has a higher contrast than Pre FLAIR, and a higher SNR for lesions, It was not not statistically significant and MPR TRA CE but CNR came out high. Inspection of post-contrast which is used in a high magnetic field is frequently used images of 3D T1 but, since the signal of the contrast medium and the blood flow is included, this method can be diagnostic accuracy is reduced, it is believed that when used in combination with Post FLAIR, and that can provide video information added to the diagnosis of brain metastases.

동맥스핀표지 뇌 관류 자기공명영상에서 라벨링 간격 및 지연시간, 표지 두께, 절편 획득 순서의 변화에 따른 관류 신호변화 연구

변재후,박명환,강지연,이진완,이강원,장건호,Byun, Jae-Hoo,Park, Myung-Hwan,Kang, Ji-Yeon,Lee, Jin-Wan,Lee, Kang-Won,Jahng, Geon-Ho 한국의학물리학회 2013 의학물리 Vol.24 No.2

동맥스핀표지(Arterial Spin Labeling: ASL) 뇌 관류 자기공명영상법을 이용한 뇌 관류영상기술이 일반적으로 환자의 질병진단에 일반적으로 사용하기 어려운 이유는 영상을 얻을 때 여러 인자들을 최적화시켜야만 좋은 질의 영상을 얻을 수 있기 때문으로 생각된다. 따라서, 본 논문의 목적은 동맥스핀표지 자기공명영상의 뇌 관류영상을 최적화 하기 위하여 필요한 여러 인자들의 변화에 따른 동맥스핀표지 신호변화를 3.0 테슬라 자기공명영상에서 관찰하는 것이다. 특히, 동맥시 핀표지 자기공명영상 신호 변화가 이들 인자에서 뇌 세포(brain tissues)의 영역에 따라서 어떻게 변화하는가를 평가하였다. 정상 성인 남성 5명을(평균연령 36세; 29세~41세) 대상에서 STAR (Signal Targeting with Alternating Radiofrequency) 동맥스핀표지 방법을 이용하여 3T 자기공명영상에서 영상을 얻었다. 실험은 첫째 영상획득 영역과 라벨링 영역간의 간격 변화에 따른 신호 변화 평가 실험, 둘째 라벨링 후의 시간 변화에 따른 신호 변화 평가 실험, 셋째 라벨링 두께의 변화에 따른 신호 변화 평가 실험, 넷째 슬라이스 획득 순서에 따른 신호 변화 평가실험을 하였다. 획득한 영상의 분석은 회백질과 백질, 전두엽, 측두엽, 후두엽, 두정엽에서의 관류신호변화를 얻어 분석하였다. 본 연구결과는 아래와 같았다: 1) 영상획득 영역과 라벨링 영역간의 간격 변화에 따른 관류 신호 변화 연구결과 전체 절편의 평균 값을 보면 회백질에서 좌측과 우측 모두에서 라벨링 간격이 증가할수록 신호가 낮아지는 경향을 보이고 있다. 라벨링 간격의 변화에 두정엽이 가장 영향을 적게 받고 후두엽이 가장 많은 영향을 받았다. 2) 라벨링 후의 시간 변화에 따른 관류 신호 변화 연구결과 회백질은 라벨링 지연시간 400 ms까지 양쪽 모두 감소하다가 라벨링 지연시간이 1,000 ms까지 증가하였다. 3) 라벨링 두께의 변화에 따른 관류 신호 변화 연구 결과 라벨링 두께가 증가에 따라 회백질과 백질의 신호강도는 점차적으로 증가하다가 120 mm 두께 이후에는 감소하였다. 4) 절편 획득 순서에 따른 관류 신호 변화 연구 결과 절편 획득 순서에 따른 백질과 회백질의 관류신호강도 값은 회백질과 백질 모두 머리의 꼭대기부터 영상을 획득하는 descend에서 신호강도가 높았다. 본 연구에서는 각 실험 조건에 따라서 관류신호 강도가 크게 변화를 하는 것을 보여 주었고, 따라서 실제 환자를 대상으로 관류 영상을 얻고자 할 경우에는 실제 임상 적용 전에 최적화된 프로토콜을 만든 후에 사용을 해야 할 것으로 생각한다. 특히 백질의 뇌 관류영상을 얻는 것은 아직 문제가 있는 것으로 생각이 된다. Currently, an arterial spin labeling (ASL) magnetic resonance imaging (MRI) technique does not routinely used in clinical studies to measure perfusion in brain because optimization of imaging protocol is required to obtain optimal perfusion signals. Therefore, the objective of this study was to investigate changes of perfusion-weighed signal intensities with varying several parameters on a pulsed arterial spin labeling MRI technique obtained from a 3T MRI system. We especially evaluated alternations of ASL-MRI signal intensities on special brain areas, including in brain tissues and lobes. The signal targeting with alternating radiofrequency (STAR) pulsed ASL method was scanned on five normal subjects (mean age: 36 years, range: 29~41 years) on a 3T MRI system. Four parameters were evaluated with varying: 1) the labeling gap, 2) the labeling delay time, 3) the labeling thickness, and 4) the slice scan order. Signal intensities were obtained from the perfusion-weighted imaging on the gray and white matters and brain lobes of the frontal, parietal, temporal, and occipital areas. The results of this study were summarized: 1) Perfusion-weighted signal intensities were decreased with increasing the labeling gap in the bilateral gray matter areas and were least affected on the parietal lobe, but most affected on the occipital lobe. 2) Perfusion-weighted signal intensities were decreased with increasing the labeling delay time until 400 ms, but increased up to 1,000 ms in the bilateral gray matter areas. 3) Perfusion-weighted signal intensities were increased with increasing the labeling thickness until 120 mm in both the gray and white matter. 4) Perfusion-weighted signal intensities were higher descending scans than asending scans in both the gray and white matter. We investigated changes of perfusion-weighted signal intensities with varying several parameters in the STAR ASL method. It should require having protocol optimization processing before applying in patients. It has limitations to apply the ASL method in the white matter on a 3T MRI system.

철근콘크리트 슬래브교의 노후화 예측모델

안영기 ( Ahn Young-ki ),이채규 ( Lee Chai-kyu ),이진완 ( Lee Jin-wan ) 한국구조물진단유지관리공학회 2003 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.7 No.2

Life cycle profiles(LCP) of bridge structures are indispensable for the life cycle cost(LCC) evaluations of bridge system. The bridge under considerations may be newly-designed one or one in service. Thus, a systematic study of LCP is essential for both reliable LCC evaluation and strategic bridge management. LCP is mainly influenced by the structural environment in nature. In this study, LCP along with a subset of the BMS data was investigated and several mathematical expressions were proposed and evaluated. From the numerical results, it is concluded that the mathematical LCP model of □□□□ is shown to be the fittest one (R=0.815) to express the condition rating varied with the age.

슬래브교 상판의 전문가 시스템 개발

안영기 ( Ahn Young-ki ),이종빈 ( Lee Cheung-bin ),임정순 ( Yim Jung-soon ),이진완 ( Lee Jin-wan ) 한국구조물진단유지관리공학회 2003 한국구조물진단유지관리공학회 논문집 Vol.7 No.1

The purpose of this study makes a retrofit and rehabilitation practice trough the analysis and the improvement for the underlying problem of current retrofit and rehabilitation methods. Therefore, the deterioration process, the damage cause, the condition classification, the fatigue mechanism and the applied quantity of strengthening methods for slab bridge decks were analysed. Artificial neural networks are efficient computing techniqures that are widely used to solve complex problems in many fields. In this study, a back-propagation neural network model for estimating a management on existing slab bridge decks from damage cause, damage type, and integrity assessment at the initial stsge is need. The training and testing of the network were based on a database of 36. Four different network models werw used to study the ability of the neural network to predict the desirable output of increasing degree of accuracy. The neural networks is trained by modifying the weights of the neurons in response to the errors between the actual output values and the target output value. Training was done iteratively until the average sum squared errors over all the training patterms were minimized. This generally occurred after about 5,000 cycles of training.

철근콘크리트 슬래브교의 노후화 예측모델

안영기(Ahn Young-Ki),이채규(Lee Chai-Kyu),이진완(Lee Jin-Wan) 한국구조물진단유지관리학회 2003 한국구조물진단학회 학술발표회논문집 Vol.- No.-

Life cycle profiles(LCP) of bridge structures are indispensable for the life cycle cost(LCC) evaluations of bridge system. The bridge under considerations may be newly-designed one or one in service. Thus, a systematic study of LCP is essential for both reliable LCC evaluation and strategic bridge management. LCP is mainly influenced by the structural environment in nature. In this study, LCP along with a subset of the BMS data was investigated and several mathematical expressions were proposed and evaluated. From the numerical results, it is concluded that the mathematical LCP model of y=y0²-at is shown to be the fittest one (R=0.815) to express the condition rating varied with the age.