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철근콘크리트 구조물에 대한 비국소 이방성 손상모델의 적용 (Application of Nonlocal Anisotropic Damage Model for the Reinforced Concrete Structures)

  • 우상균;권용길;한상훈
    • 대한토목학회논문집
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    • 제30권3A호
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    • pp.309-316
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    • 2010
  • 이 논문에서는 인장과 압축하중에 놓은 무근 콘크리트와 철근콘크리트 구조물의 거동을 모사하기 위해 비국소화 이방성 손상모델을 제안하였다. 손상변수로써 대칭형의 이차 텐서을 사용한 연속체 손상모델에 기초한다. 콘크리트와 같은 준-취성재료에 있어 손상양상은 인장부와 압축부에서 다른 양상을 나타낸다. 이러한 두 개의 손상영역은 전체 변형률 텐서의 주변형률 성분을 손상텐서 속도에 비례하는 손상진전 법칙을 이용하여 모델링하였다. 제안된 모델의 유효성을 검토하기 위해 nooru-mohamed에 의해 실시된 이중 노치가 있는 시험체와 철근콘크리트 휨 시험체를 대상으로 해석을 수행하였다. 해석결과, 비국소화 이방성 모델은 혼합모드 파괴에 대한 균열진전을 적절히 모사할 수 있었으며 철근콘크리트 휨 시험체의 구조적 파괴에 있어서도 높은 수준의 콘크리트 손상 및 철근의 항복까지를 해석할 수 있었다.

모드분해기법을 이용한 변위응답추정 알고리즘의 실교량 적용 (Applications of Displacement Response Estimation Algorithm Using Mode Decomposition Technique to Existing Bridges)

  • 장성진;김남식
    • 대한토목학회논문집
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    • 제30권3A호
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    • pp.257-264
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    • 2010
  • 일반적으로 대형구조물의 건전성평가에 있어 중요한 인자인 변위를 추정함으로써 구조물의 성능 저하 및 노후도를 판단하는 근거가 된다. 그러나 변위응답의 계측이 중요함에도 불구하고 계측 방법의 부재로 말미암아 현수교와 같은 대형구조물의 변위응답을 측정하는 방법이 용이치 않은 것이 현실이다. 본 논문에서는 변형률신호로부터 변위응답을 추정하는 방법인 모드분해기법을 제시하였다. 모드분해기법은 등가정적 변위응답과 구조물의 주요거동을 나타내는 저차모드의 변위응답을 합하여 최종변위응답을 추정하는 방법이다. 변형률신호의 계측시 전기저항식 변형률센서를 사용할 경우 전기적 노이즈 문제가 발생할 소지가 크며, 측점이 많아질수록 경제적 부담감이 커진다. 이런 문제점을 극복하기 위하여 전기적 노이즈의 영향이 없고 다중측정이 가능한 광섬유 브래그 격자 센서를 사용하였다. 현수교와 플레이트거더교의 동재하실험을 통하여 모드분해기법의 사용성을 검토하였다.

단축질소제거 공정을 이용한 가축분뇨의 적정 처리조건 연구 (Optimal Operation Condition of Livestock Wastewater Treatment Using Shortcut Biological Nitrogen Removal Process)

  • 강진영;장영호;정병환;김연진;김용호
    • 한국물환경학회지
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    • 제39권5호
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    • pp.390-395
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    • 2023
  • The feasibility of applying the shortcut nitrogen removal process to treat livestock wastewater on individual farms was examined, and appropriate operating parameters were established. As a result,, it was determined that the nitrification reaction was carried out under 550 mg/L of ammonium nitrogen concentration, but it was less effective under conditions of high ammonia concentration. Consequently, it was confirmed that a partial injection of inflow water was necessary to minimize the effects of ammonia toxicity. Following the sequential batch reactor (SBR) operation results, it was difficult to achieve the effluent quality standard without an external carbon source. Also, selection of the appropriate hydraulic retention time was critical for the optimal SBR operation. Following the livestock farm application, with external carbon source injecting, the total nitrogen concentration in the effluent was 85.1 mg/L. This result revealed that the standard could be accomplished through a single treatment on individual livestock farms. The ratio of nitrite nitrogen to ammonia nitrogen in the effluent was verified to be suitable for implementing the anammox process with a 10 days of hydraulic retention time. This study demonstrated the potential applicability of process in the future. However, in order to apply to livestock farms, managing variations in wastewater load across individual farms and addressing reduced nitrogen oxidation efficiency during the winter season are crucial.

토사 함량에 따른 자갈 성토재료의 침하특성 분석 (The Influence of Soil Content on the Settlement Behavior of Gravel Embankement)

  • 이수형;김지호;김범준;윤찬영
    • 한국지반환경공학회 논문집
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    • 제24권11호
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    • pp.41-49
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    • 2023
  • 본 연구에서는 토사가 혼합된 암성토 제방의 침하 특성을 분석하기 위하여 실트질 재료 혼합에 따른 토사재료의 물리적 특성을 확인하고, 토사재료 혼합 비율에 따른 자갈재료의 압축특성을 분석하였다. 이를 위하여 사질토에 실트질 재료를 혼합하여 토사재료의 압축특성을 분석하였으며, 도상자갈과 유사한 입도분포를 갖는 암성토 재료에 다양한 비율의 토사를 혼합하여 지반을 조성하고 중형챔버를 이용한 일차원 압축실험을 수행하였다. 실험결과, 혼합토사 재료의 경우 Transition Fine Content(TFC)는 하중 조건에 따라서 21~26% 범위로 나타났으며, 토사가 혼합된 암성토 재료의 경우, 자갈 시료 내 토사의 공극 채움비율이 증가함에 따라 총압축량과 크리프 압축이 모두 감소하다가 50% 혼합비 이후에는 다시 침하량이 증가하는 것으로 나타났다.

Developing girder distribution factors in bridge analysis through B-WIM measurements: An empirical study

  • Widi Nugraha;Winarputro Adi Riyono;Indra Djati Sidi;Made Suarjana;Ediansjah Zulkifli
    • Structural Monitoring and Maintenance
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    • 제10권3호
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    • pp.207-220
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    • 2023
  • The safety of bridges are critical in our transportation infrastructure. Bridge design and analysis require complex structural analysis procedures to ensure their safety and stability. One common method is to calculate the maximum moment in the girders to determine the appropriate bridge section. Girder distribution factors (GDFs) provide a simpler approach for performing this analysis. A GDF is a ratio between the response of a single girder and the total response of all girders in the bridge. This paper explores the significance of GDFs in bridge analysis and design, including their importance in the evaluation of existing bridges. We utilized Bridge Weigh-in-motion (B-WIM) measurements of five simple supported girder bridge in Indonesia to develop a simple GDF provisions for the Indonesia's bridge design code. The B-WIM measurements enable us to know each girder strain as a response due to vehicle loading as the vehicle passes the bridge. The calculated GDF obtained from the B-WIM measurements were compared with the code-specified GDF and the American Association of State Highway and Transportation Officials (AASHTO) Load and Resistance Factor Design (LRFD) bridge design specification. Our study found that the code specified GDF was adequate or conservative compared to the GDF obtained from the B-WIM measurements. The proposed GDF equation correlates well with the AASHTO LRFD bridge design specification. Developing appropriate provisions for GDFs in Indonesian bridge design codes can provides a practical solution for designing girder bridges in Indonesia, ensuring safety while allowing for easier calculations and assessments based on B-WIM measurements.

The gene expression programming method for estimating compressive strength of rocks

  • Ibrahim Albaijan;Daria K. Voronkova;Laith R. Flaih;Meshel Q. Alkahtani;Arsalan Mahmoodzadeh;Hawkar Hashim Ibrahim;Adil Hussein Mohammed
    • Geomechanics and Engineering
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    • 제36권5호
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    • pp.465-474
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    • 2024
  • Uniaxial compressive strength (UCS) is a critical geomechanical parameter that plays a significant role in the evaluation of rocks. The practice of indirectly estimating said characteristics is widespread due to the challenges associated with obtaining high-quality core samples. The primary aim of this study is to investigate the feasibility of utilizing the gene expression programming (GEP) technique for the purpose of forecasting the UCS for various rock categories, including Schist, Granite, Claystone, Travertine, Sandstone, Slate, Limestone, Marl, and Dolomite, which were sourced from a wide range of quarry sites. The present study utilized a total of 170 datasets, comprising Schmidt hammer (SH), porosity (n), point load index (Is(50)), and P-wave velocity (Vp), as the effective parameters in the model to determine their impact on the UCS. The UCS parameter was computed through the utilization of the GEP model, resulting in the generation of an equation. Subsequently, the efficacy of the GEP model and the resultant equation were assessed using various statistical evaluation metrics to determine their predictive capabilities. The outcomes indicate the prospective capacity of the GEP model and the resultant equation in forecasting the unconfined compressive strength (UCS). The significance of this study lies in its ability to enable geotechnical engineers to make estimations of the UCS of rocks, without the requirement of conducting expensive and time-consuming experimental tests. In particular, a user-friendly program was developed based on the GEP model to enable rapid and very accurate calculation of rock's UCS, doing away with the necessity for costly and time-consuming laboratory experiments.

그린인프라시설의 탄소저감을 위한 SWMM-ING 개선 및 적용성 평가 (Improvement and application of SWMM-ING for carbon reduction in green infrastructure)

  • 이영준;이채영
    • 상하수도학회지
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    • 제37권6호
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    • pp.335-345
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    • 2023
  • In Korea, as part of the Green New Deal project toward a carbon-neutral society, it is necessary to build a climate-resilient urban environment to green the city, space, and living infrastructure. To this end, SWMM-ING was improved and the model was modified to analyze the carbon reduction effect. In addition, I plan to select target watersheds where urbanization is rapidly progressing and evaluate runoff, non-point pollution, and carbon reduction effects to conduct cost estimation and optimal design review for domestic rainwater circulation green infrastructure. In this study, green infrastructure facilities were selected using SWMM-ING. Various scenarios were presented considering the surface area and annual cost of each green infrastructure facility, and The results show that the scenario derived through the APL2 method was selected as the optimal scenario. In this optimal scenario, a total facility area of 190,517.5 m2 was applied to 7 out of 30 subwatersheds to achieve the target reduction. The target reduction amount was calculated a 23.50 % reduction in runoff and a 26.99 % reduction in pollutant load. Additionally, the annual carbon absorption was analyzed and found to be 385,521 kg/year. I aim to achieve additional carbon reduction effects by achieving the goal of reducing runoff and non-point pollution sources and analyzing annual carbon absorption. Moreover, considering the scale-up of these interventions across the basin, it is believed that an objective assessment of economic viability can be conducted.

Classification of Aβ State From Brain Amyloid PET Images Using Machine Learning Algorithm

  • Chanda Simfukwe;Reeree Lee;Young Chul Youn;Alzheimer’s Disease and Related Dementias in Zambia (ADDIZ) Group
    • 대한치매학회지
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    • 제22권2호
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    • pp.61-68
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    • 2023
  • Background and Purpose: Analyzing brain amyloid positron emission tomography (PET) images to access the occurrence of β-amyloid (Aβ) deposition in Alzheimer's patients requires much time and effort from physicians, while the variation of each interpreter may differ. For these reasons, a machine learning model was developed using a convolutional neural network (CNN) as an objective decision to classify the Aβ positive and Aβ negative status from brain amyloid PET images. Methods: A total of 7,344 PET images of 144 subjects were used in this study. The 18F-florbetaben PET was administered to all participants, and the criteria for differentiating Aβ positive and Aβ negative state was based on brain amyloid plaque load score (BAPL) that depended on the visual assessment of PET images by the physicians. We applied the CNN algorithm trained in batches of 51 PET images per subject directory from 2 classes: Aβ positive and Aβ negative states, based on the BAPL scores. Results: The binary classification of the model average performance matrices was evaluated after 40 epochs of three trials based on test datasets. The model accuracy for classifying Aβ positivity and Aβ negativity was (95.00±0.02) in the test dataset. The sensitivity and specificity were (96.00±0.02) and (94.00±0.02), respectively, with an area under the curve of (87.00±0.03). Conclusions: Based on this study, the designed CNN model has the potential to be used clinically to screen amyloid PET images.

혈중(血中) Thyroxine-결합(結合)-globulin(TBG)의 $T_4$ 결합능(結合能) 측정(測定)에 관한 고찰(考察) (Estimation of the $T_4$ Binding Capacity of Serum Thyroxine Binding Globulin)

  • 이경자;고창순;이문호
    • 대한핵의학회지
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    • 제7권2호
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    • pp.1-12
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    • 1973
  • The most commonly used methods for determining thyroxine binding globulin(TBG) concentration as the total thyroxine-binding capacity utilize electrophoretic seperation of serum. Although technically simple, the electrophoretic method is time consuming and is limited in the number of samples which can be run in a single assay. The author presented a single $T_4$ load ion exchange resin method as an approach to simplify the technique as with clinical practicability and results were analyzed. For construction of the standard curves, serum mixtures were diluted with barbital buffer.which effectively blocked $T_4$-binding to TBPA. For each serum dilution, a constant amount of $T_4-^{125}I$ and increments of unlabelled $T_4$ were added. After incubation in water bath, resin beads were dispensed to the samples which binded all $T_4$ not bound to TBG. The radioactivity in the supernatant was counted in the gamma scintillation counter. Each standard curve was plotted from the percent counts in the supernatant and total $T_4$ in each tube. Unknown samples were diluted to 1:40 and ran at a single $T_4$ loading concentration, and the TBG capacity of the samples was able to be read on the standard isobars. The following results were obtained. 1) Mean and standard deviation for TBG capacity in normal population was $28.6{\pm}5.09{\mu}g\;T_4/100ml$. 2) $24.9{\pm}3.87{\mu}g\;T_4/100ml$ in hyperthyroidism showed low TBG capacity comparing to normal population.(p<0.025) 3) $31.0{\pm}2.40{\mu}g\;T_4/100ml$ in hypothyroidism showed high TBG capacity tendency comparing to normal population. 4) Reversed correlationship existed between TBG capacity and $T_3$ resin uptake(r=-0.624), TBG capacity and serum $T_4$ value (r=-0.859), and TBG capacity and free thyroxine index(r=-0.623). The author assumes that this method of assay is considerably simpler in instrumentation and technique than any other assays traditionally being used, and seems to be more practical for routine clinical laboratory use.

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한방기공체조가 두뇌력, 심박변이율, 생혈액형태에 미치는 영향 (Effect of the Oriental Medicine Gi-Gong Exercise on the Brain Power, HRV, Live Blood Condition in the Youth)

  • 이정원;김이순;김경철
    • 동의생리병리학회지
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    • 제21권1호
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    • pp.126-135
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    • 2007
  • This study was conducted to identify the effects of the oriental medicine Qigong Exercise on the brain power, HRV, pulsation, live blood condition among young boys and girls. The study was performed with two group(control group and experimental group) in a pre-test/post-test design. The subjects were 44 young boys and girls selected by a some middle school in Busan. The oriental medicine Qigong Exercise program consists of 80-minute sessions three times a week over 5 months. All of the subjects were examined on the congnition assessment tool, stress assessment tool, oriental medicine pulsation 3-D MAC, live blood condition analyzer Prior and post surveys were measured before and after the experiment. In the cognition assessment, the amplitude of ERS were increased afer Qigong Exercise. The Success and the Concentration were significantly increased afer Qigong Exercise, the Error was significantly decreased afer Qigong Exercise. The Cognition strength was significantly increased, but the Reponse time was not significantly decreased afer Qigong Exercise. And the Workload was not significantly decreased, the Total Score was not significantly increased afer Qigong Exercise. Among the stress assessment, RRV tachogram's ‘mean RR’ was significantly increased, ‘mean HRV’ was significantly decreased afer Qigong Exercise. SDNN was not significantly increased, Complexity was not significantly increased afer Qigong Exercise. And TP(RRV power's total power) was not significantly increased, VLF and HF was significantly increased, and LF was significantly decreased afer Qigong Exercise. ANS's norm LF was not significantly decreased, but norm HF was significantly increased afer Qigong Exercise. In the RRV's Phase Plot, RMSSD and SDSD were not significantly increased, pnn50 was not significantly decreased afer Qigong Exercise. On the whole, Parasympathetic Activity and Stress Endurance were significantly increased, but Cardiac Activity and Physical Arousal were not significantly increased afer Qigong Exercise. Cardiac Aging was not significantly decreased afer Qigong Exercise. Sympathetic Activity, Autonomic Nervous System Balance and Heart-load were not significantly decreased afer Qigong Exercise. In the pulsation, press power was increased(15%), and w/t(pressurization time / pulsation time) was decreased(20%) afer Oigong Exercise. And the live blood condition was not changed afer Qigong Exercise. As mentioned above; the oriental medicine Qigong Exercise program was identified the effects of the inspiration of the brain power, heart rate and anti-stress.