• Structural Engineering and Mechanics
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• 제90권6호
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• pp.591-600
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• 2024

This study investigated the acceleration response and shape change characteristics of a gravity quay wall according to the magnitude of the applied acceleration. The quay wall was defined as a port facility damaged by the Kobe earthquake. Four experimental scenarios were established based on the inclination condition grades, considered to be a significant defect factor in the quay wall. Then, the shaking table test was conducted using scaled-down quay wall models constructed per each scenario. The ground acceleration was gradually increased from the peak ground acceleration (PGA) of 0.1 g to 0.7 g. After each ground acceleration test, acceleration installed on the wall and backfill ground and inclination on the top of the wall were measured to assess the amplification of peak response acceleration and maximum response amplitude and the change in the inclination of the quay wall. This study also analyzed the separation of the quay wall from the backfill and the crack pattern of the backfill ground according to PGA values and inclination condition grades. The result of this study shows that response acceleration could provide a reasonable prediction for the changes in the inclination of the quay wall and the crack generation and propagation on the backfill from a current inclination condition grade.

• 정보처리학회 논문지
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• 제13권3호
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• pp.130-139
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• 2024

제조 분야 설비 예지보전을 위해서 진동, 전류, 온도 등 물리 데이터를 기반으로 설비 이상을 탐지하는 인공지능 학습 모델이 활용되고 있다. 설비 결함, 고장 등 설비 이상 유형은 매우 다양하므로, 주로 오토인코더 기반 비지도 학습 모델을 이용한 이상 탐지 방법이 적용되고 있다. 설비 상태의 정상, 비정상 여부는 오토인코더의 재구성 오차를 이용해 효과적으로 분류할 수 있지만, 설비 이상의 구체적인 상태를 식별하는 데 한계가 있다. 설비 불균형, 정렬 불량, 고정 불량 등 설비 이상 상황 발생 시, 설비 진동 주파수는 특정 영역에서 정상 상태와 다른 패턴을 나타낸다. 본 논문에서는 전체 진동 주파수 범위를 N개 영역으로 나누어 이상 탐지를 수행하는 N 분할 이상 탐지 방법을 제시하였다. 압축기의 진동 데이터를 이용해 주파수와 강도를 달리한 9종의 이상 데이터를 대상으로 실험한 결과, N 분할을 적용하였을 때 더 높은 이상 탐지 성능을 나타냈다. 제안 방법은 설비 이상 탐지 이후, 설비 이상 구체화에 활용될 수 있다.

• International Journal of Naval Architecture and Ocean Engineering
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• 제2권1호
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• pp.24-33
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• 2010

Design of a Pump Jet Propulsor (PJP) was undertaken for an underwater body with axisymmetric configuration using axial/low compressor design techniques supported by Computational Fluid Dynamics (CFD) analysis for performance prediction. Experimental evaluation of the PJP was earned out through experiments in a Wind Tunnel Facility (WTF) using momentum defect principle for propulsive performance prior to proceeding with extensive experimental evaluation in towing tank and cavitation tunnel. Experiments were particularly conducted with respect to Self Propulsion Point (SPP), residual torque and thrust characteristics over a range of vehicle advance ratio in order to ascertain whether sufficient thrust is developed at the design condition with least possible imbalance torque left out due to residual swirl in the slip stream. Pumpjet and body models were developed for the propulsion tests using Aluminum alloy forged material. Tests were conducted from 0 m/s to 30 m/s at four rotational speeds of the PJP. SPP was determined confirming the thrust development capability of PJP. Estimation of residual torque was carried out at SPP corresponding to speeds of 15, 20 and 25 m/s to examine the effectiveness of the stator. Estimation of thrust and residual torque was also carried out at wind speeds 0 and 6 m/s for PJP RPMs corresponding to self propulsion tests to study the propulsion characteristics during the launch of the vehicle m water where advance ratios are close to Zero. These results are essential to assess the thrust performance at very low advance ratios to accelerate the body and to control the body during initial stages. This technique has turned out to be very useful and economical method for quick assessment of overall performance of the propulsor and generation of exhaustive fluid dynamic data to validate CFD techniques employed.

• 한국건축시공학회지
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• 제23권6호
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• pp.773-784
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• 2023

정부는 2007년부터 「국가건축기본계획」, 2014년부터 「건축서비스산업진흥법」 등을 통해 공공건축물의 품질향상을 도모하고 있으나, 이러한 추세에도 불구하고 대규모 아파트 공사에 비해 교육시설의 하자 발생 빈도가 높은 실정이다. 본 연구에서는 IPA분석기법을 응용한 사분면 분석 기법을 이용하여 교육시설에서 발생하는 균열의 주요 원인을 분석하여 이를 바탕으로 효율적인 균열 예측을 제시하고자 한다. 문헌연구를 통해 연구동향을 살펴보고 2019년부터 2021년까지 교육청으로 부터 받은 자료를 분석하여 주요 결함을 파악한다. 이후 설문조사와 전문가 자문을 바탕으로 균열 결함 15개 원인을 선정한다. 선정된 15개 원인에 대한 분석 결과를 바탕으로 2×2 Matrix를 활용해 균열 원인에 대한 작업애로 및 예방효과를 파악하고 중점적으로 검토해야 할 원인을 찾아 개선방향을 제시했다. 이러한 결과를 바탕으로 효과적인 교육시설의 균열 예방 및 관리에 기여할 수 있을 것으로 기대된다.

• Steel and Composite Structures
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• 제50권6호
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• pp.705-720
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• 2024

Analyzing the collapse behavior of thin-walled steel structures holds significant importance in ensuring their safety and longevity. Geometric imperfections present on the surface of metal materials can diminish both the durability and mechanical integrity of steel shells. These imperfections, encompassing local geometric irregularities and deformations such as holes, cavities, notches, and cracks localized in specific regions of the shell surface, play a pivotal role in the assessment. They can induce stress concentration within the structure, thereby influencing its susceptibility to buckling. The intricate relationship between the buckling behavior of these structures and such imperfections is multifaceted, contingent upon a variety of factors. The buckling analysis of thin-walled steel shell structures, similar to other steel structures, commonly involves the determination of crucial material properties, including elastic modulus, shear modulus, tensile strength, and fracture toughness. An established method involves the emulation of distributed geometric imperfections, utilizing real test specimen data as a basis. This approach allows for the accurate representation and assessment of the diversity and distribution of imperfections encountered in real-world scenarios. Utilizing defect data obtained from actual test samples enhances the model's realism and applicability. The sizes and configurations of these defects are employed as inputs in the modeling process, aiding in the prediction of structural behavior. It's worth noting that there is a dearth of experimental studies addressing the influence of geometric defects on the buckling behavior of cylindrical steel shells. In this particular study, samples featuring geometric imperfections were subjected to experimental buckling tests. These same samples were also modeled using Finite Element Analysis (FEM), with results corroborating the experimental findings. Furthermore, the initial geometrical imperfections were measured using digital image correlation (DIC) techniques. In this way, the response of the test specimens can be estimated accurately by applying the initial imperfections to FE models. After validation of the test results with FEA, a numerical parametric study was conducted to develop more generalized design recommendations for the stainless-steel shell structures with the initial geometric imperfection. While the load-carrying capacity of samples with perfect surfaces was up to 140 kN, the load-carrying capacity of samples with 4 mm defects was around 130 kN. Likewise, while the load carrying capacity of samples with 10 mm defects was around 125 kN, the load carrying capacity of samples with 14 mm defects was measured around 120 kN.