• Smart Structures and Systems
• /
• 제30권4호
• /
• pp.339-351
• /
• 2022

Evaluating the current condition of existing structures is of primary importance for economic and safety reasons. This can be addressed by Structural System Identification (SSI). A reliable static SSI depends on well-designed sensor configuration and loading cases, as well as efficient parameter estimation algorithms. Static SSI by the Measurement Error-Minimizing Observability Method (MEMOM) is a model-based deterministic static SSI method that could estimate structural parameters from static responses. In the current state of the art, this method is only applicable when structures are subjected to one loading case. This might lead to lack of information in some local regions of the structure (such as the null curvatures zones). To address this issue, the SSI by MEMOM using multiple loading cases is proposed in this work. Observability equations obtained from different loading cases are concatenated simultaneously and an optimization procedure is introduced to obtain the estimations by minimizing the discrepancy between the predicted response and the measured one. In addition, a Genetic-Algorithm (GA)-based Optimal Sensor Placement (OSP) method is proposed to tackle the OSP problem under multiple static loading cases for the very first time. In this approach, the Fisher Information Matrix (FIM)'s determinant is used as the metric of the goodness of sensor configurations. The numerical examples of a 3-span continuous bridge and a 13-story frame, are analyzed to validate the applicability of the extended SSI by MEMOM and the GA-based OSP method.

• Geomechanics and Engineering
• /
• 제32권6호
• /
• pp.583-600
• /
• 2023

The resilient modulus (M_R) of various pavement materials plays a significant role in the pavement design by a mechanistic-empirical method. The M_R determination is done by experimental tests that need time and money, along with special experimental tools. The present paper suggested a novel hybridized extreme gradient boosting (XGB) structure for forecasting the M_R of modified base materials subject to wet-dry cycles. The models were created by various combinations of input variables called deep learning. Input variables consist of the number of W-D cycles (WDC), the ratio of free lime to SAF (CSAFR), the ratio of maximum dry density to the optimum moisture content (DMR), confining pressure (σ₃), and deviatoric stress (σ_d). Two XGB structures were produced for the estimation aims, where determinative variables were optimized by particle swarm optimization (PSO) and black widow optimization algorithm (BWOA). According to the results' description and outputs of Taylor diagram, M1 model with the combination of WDC, CSAFR, DMR, σ₃, and σ_d is recognized as the most suitable model, with R² and RMSE values of BWOA-XGB for model M1 equal to 0.9991 and 55.19 MPa, respectively. Interestingly, the lowest value of RMSE for literature was at 116.94 MPa, while this study could gain the extremely lower RMSE owned by BWOA-XGB model at 55.198 MPa. At last, the explanations indicate the BWO algorithm's capability in determining the optimal value of XGB determinative parameters in M_R prediction procedure.

• 한국수소및신에너지학회논문집
• /
• 제34권2호
• /
• pp.91-99
• /
• 2023

Participation in power trading using surplus power is considered a business model active in the domestic energy trade market, but it is limited only if the legal requirements according to the type, capacity, and use of the facilities to be applied for are satisfied. The hydrogen residential demonstration model presented in this paper includes solar power, energy storage system (ESS), fuel cell, and water electrolysis facilities in electrical facilities for private use with low-voltage power receiving system. The concept of operations strategy for this model focuses on securing the energy self-sufficiency ratio of the entire system, securing economic feasibility through the optimal operation module installed in the energy management system (EMS), and securing the stability of the internal power balancing issue during the stand-alone mode. An electric facility configuration method of a hydrogen residential complex demonstrated to achieve this operational goal has a structure in which individual energy sources are electrically connected to the main bus, and ESS is also directly connected to the main bus instead of a renewable connection type to perform charging/discharging operation for energy balancing management in the complex. If surplus power exists after scheduling, participation in power trading through reverse transmission parallel operation can be considered to solve the energy balancing problem and ensure profitability. Consequentially, this paper reviews the legal regulations on participation in electric power trading using surplus power from hydrogen residential models that can produce and consume power, gas, and thermal energy including hybrid distributed power sources, and suggests action plans.

• 센서학회지
• /
• 제32권3호
• /
• pp.131-139
• /
• 2023

Ascorbic acid plays a crucial role in the regulation of neurotransmitters and enzymes in the central nervous system. Maintaining an optimal level of ascorbic acid, which is between 0.6-2 mg/dL, is vital for preventing oxidative stress and associated health conditions, such as cancer, diabetes, and liver disease. Therefore, the detection of ascorbic acid is of the utmost importance. Electrochemical sensing has gained significant attention among the various detection methods, owing to its simplicity, speed, affordability, high selectivity, and real-time analysis capabilities. However, conventional electrodes have poor signal response, which has led to the development of modified electrodes with better signal response and selectivity. Carbon nanotubes (CNTs) and their composites have emerged as promising materials for the electrochemical detection of ascorbic acid. CNTs possess unique mechanical, electrical, and chemical properties that depend on their structure, and their large surface area and excellent electron transport properties make them ideal candidates for electrochemical sensing. Recently, various CNT composites with different materials and nanoparticles have been studied to enhance the electrochemical detection of ascorbic acid. Therefore, this review aims to highlight the significance of CNTs and their composites for improving the sensitivity and selectivity of ascorbic acid detection. Specifically, it focuses on the use of CNTs and their composites in electrochemical sensing to revolutionize the detection of ascorbic acid and contribute to the prevention of oxidative stress-related health conditions. The potential benefits of this technology make it a promising area for future research and development.

• Current Optics and Photonics
• /
• 제7권1호
• /
• pp.38-46
• /
• 2023

Optical Fourier-domain reflectometry (OFDR) sensors have been widely used to measure distances with high resolution and speed in a noncontact state. In the electroplating process of a printed circuit board, it is critically important to monitor the copper-plating thickness, as small deviations can lead to defects, such as an open or short circuit. In this paper we employ a phase-based OFDR sensor for in situ relative distance sensing of a sample with nanometer-scale resolution, during electroplating. We also develop an optical-path difference (OPD)-regulated sensing probe that can maintain a preset distance from the sample. This function can markedly facilitate practical measurements in two aspects: Optimal distance setting for high signal-to-noise ratio OFDR sensing, and protection of a fragile probe tip via vertical evasion movement. In a sample with a centimeter-scale structure, a conventional OFDR sensor will probably either bump into the sample or practically out of the detection range of the sensing probe. To address this limitation, a novel OPD-regulated OFDR system is designed by combining the OFDR sensing probe and linear piezo motors with feedback-loop control. By using multiple OFDR sensors, it is possible to effectively monitor copper-plating thickness in situ and uniformize it at various positions.

• Wind and Structures
• /
• 제34권3호
• /
• pp.275-290
• /
• 2022

Mobile sand barriers are a new type sand-retaining structure that can be moved and arranged according to the engineering demands of sand control. When only used for sand trapping, mobile sand barriers could be arranged in single row. For the dual purposes of sand trapping and sand stabilization, four rows of mobile sand barriers can be arranged in a staggered form. To reveal the effect of plane layout, the included angle between sand barrier direction and wind direction on the characteristics of flow fields and the sand control laws of mobile sand barriers, numerical computations and wind tunnel tests were conducted. The results showed that inflows deflected after passing through staggered arrangement sand barriers due to changes in included angle, and the sand barrier combination exerted successive wind resistance and group blocking effects. An analysis of wind resistance efficiency revealed that the effective protection length of staggered arrangement sand barriers approximately ranged from the sand barrier to 10H on the leeward side (H is sand barrier height), and that the effective protection length of single row sand barriers roughly ranged from 1H on the windward side to 20H on the leeward side. The distribution of sand deposit indicated that the sand interception increased with increasing included angle in staggered arrangement. The wind-breaking and sand-trapping effects were optimal when included angle between sand barrier direction and wind direction is 60°-90°.

• 사물인터넷융복합논문지
• /
• 제9권3호
• /
• pp.61-67
• /
• 2023

구리의 전기주조 공정을 최적화하기 위하여 이중 비밀 다층구조의 역전파 뉴럴 네트워크가 구성된다. 샘플 학습을 통하여, 구리 전기주조 공정 조건과 목표 특성 간의 함수관계가 정확히 성취되고, 구리 전기주조 공정 내에서 다층구조의 미세강도와 장력에 대한 예측이 이루어진다. 예측된 결과는 펄스 전원공급기를 장착한 구리 피로인산염 솔루션 시스템 내에서 구리의 전해석출 시험에 의하여 증명된다. 그 결과는 다음과 같이 나타난다. "3-4-3-2" 구조의 이중비밀 다층구조 뉴럴 네트워크에 의하여 예측된 구리 다층구조의 미세강도와 장력은 실험값에 매우 근접하며 그 상대적 오차는 2.32%보다 작다. 주어진 파라미터의 범위 내에서, 구리의 미세강도는 100.3~205.6MPa이며, 장력은 112~485MPa 정도로 측정된다. 미세강도와 장력이 최적인 조건에서 그에 대응하는 공정 조건은 다음과 같다: 전류밀도는 2A·dm-2, 펄스 주파수는 2KHz, 펄스의 듀티싸이클은 10%이다.

• 대한토목학회논문집
• /
• 제28권6A호
• /
• pp.853-859
• /
• 2008

본 연구에서는 유공강판 전단연결재를 강관말뚝머리 연결부의 결합용 구조 요소로 활용하기 위한 연구의 일환으로 유공강판 전단연결재의 홀 형상, 홀 직경, 홀 관통철근, 매입깊이 등에 따른 구조적 성능 및 거동 특성을 실험적으로 규명하였으며, 그 결과 유공강판 전단연결재가 충분한 인발저항성능을 확보하기 위해서는 콘크리트 다웰 효과가 충분히 발현될 수 있도록 확보가능한 만큼의 다수의 홀을 가공 배치하되, 각 홀의 직경은 전단연결재 높이의 절반 정도임과 동시에 관통철근 배근 후에도 콘크리트의 완전한 충전이 가능할 만큼의 홀 내 여유 공간을 충분히 확보하는 것이 바람직하며, 아울러 유공강판 전단연결재가 강관말뚝머리 연결부의 결합용 구조 요소로서의 제기능을 발휘할 수 있도록 충분한 정착성능을 확보할 필요가 있다.

• 대한토목학회논문집
• /
• 제29권1A호
• /
• pp.101-108
• /
• 2009

급속 포장 콘크리트는 타설 직후 공기 중에 노출되어 물리적, 화학적 영향을 많이 받아 유해물질들의 콘크리트 구조물 내부로 침투하여 사용연한이 감소하게 된다. 이와 같이 콘크리트 투과 특성은 내구성능을 결정하는데 중요한 요소이다. 또한 조강시멘트와 조강제의 성능으로 인하여 급격한 수화반응으로 인한 수화열로 열과 수분의 이동이 증가하여 구조물에 인장응력을 발생시켜 미소균열을 발생시킨다. 본 연구에서는 대단면 포장체의 급속 시공용으로 도출된 배합을 바탕으로 물투수시험, 동결융해반복시험, 마모저항성시험, 표면박리시험 및 소성수축, 건조수축, 자기수축 등의 시험을 실시하였다. 시험결과 조강제 및 섬유를 혼입한 배합이 가장 우수한 결과를 보여주었다.

• 의정연구
• /
• 제15권1호
• /
• pp.93-118
• /
• 2009

왜 한국의 국회는 첨예하게 갈등하고 파행적으로 운영되는 모습을 빈번하게 보여주고 있는가? 이 질문과 관련하여 본 연구는 국회의 집합적 의사결정 구조에 대한 정당들간의 인식 차이가 존재하고, 이것이 국회 내 갈등과 불신을 심화시키는 요인으로 작용하고 있다는 점에 주목하고 있다. 구체적으로 본 연구는 뷰캐넌과 튤락이 제시한 대의민주주의 하의 집합적 의사결정 모델을 활용하여 의회 내 신뢰의 문제는 다수 의사의 존중과 소수 의사의 보호를 최적으로 추구할 수 있는 토대가 된다는 점을 논의하고 있다. 그리고 한국의 국회가 최적의 집합적 의사결정을 이루어내지 못하는 이유는 국회의 집합적 의사결정 구조에 대한 합의가 부족한 상황 속에서 다수결적 방식과 합의적 방식을 선호하는 정당들이 서로 충돌하기 때문이라는 점을 지적하고 있다. 이를 토대로 본 연구는 한국의 국회가 최적의 집합적 의사결정을 이루어내기 위해서는, 그리고 국회 내 정당들간의 신뢰를 회복하기 위해서는 합의적 의사결정 제도의 도입을 확대하고, 장외투쟁과 물리적 저항 등과 같은 비제도적 수단의 동원을 방지하는 것이 최선의 선택이 될 수 있다는 점을 제안하고 있다.