• International Journal of Concrete Structures and Materials
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• 제11권2호
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• pp.327-341
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• 2017

Openings in slabs are usually required for many different applications such as aeriation ducts and air conditioning. Opening in concrete slabs due to cutouts significantly decrease the member stiffness. There are different techniques to strengthen slabs with opening cutouts. This study presents experimental and numerical investigations on the use of Carbon Fiber Reinforced Polymers (CFRP) as strengthening material to strengthen and restore the load carrying capacity of R.C. slabs after having cutout in the hogging moment region. The experimental program consisted of testing five (oneway spanning R.C. flat slabs) with overhang. All slabs were prismatic, rectangular in cross-section and nominally 2000 mm long, 1000 mm width, and 100 mm thickness with a clear span (distance between supports) of 1200 mm and the overhang length is 700 mm. All slabs were loaded up to 30 kN (45% of ultimate load for reference slab, before yielding of the longitudinal reinforcement), then the load was kept constant during cutting concrete and steel bars (producing cut out). After that operation, slabs were loaded till failure. An analytical study using finite element analysis (FEA) is performed using the commercial software ANSYS. The FEA has been validated and calibrated using the experimental results. The FE model was found to be in a good agreement with the experimental results. The investigated key parameters were slab aspect ratio for the opening ratios of [1:1, 2:1], CFRP layers and the laminates widths, positions for cutouts and the CFRP configurations around cutouts.

• 한국건축시공학회지
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• 제14권3호
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• pp.216-222
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• 2014

단면수복 보수를 실시한 RC조 부재의 내하성능 회복을 예측 평가하기 위하여 FEM해석이 빈도 높게 사용되고 있으나 부착에 대한 정보가 부족하여 정확도 있는 예측이 힘든 실정이다. 수치해석의 입력데이터가 되는 철근과 폴리머 시멘트 모르타르의 부착특성을 평가하기 위하여 폴리머 시멘트 모르타르를 이용한 일련의 인발실험을 실시하였다. 동시에 범용성있는 해석결과 활용을 위하여 부착특성을 부착강성과 부착강도로 정의하고 비선형 FEM 감도 역해석을 실시하였다. 결과를 요약하면 보수재료의 화학적 부착보다 물리적 부착이 지배적이며 폴리머 분말수지의 함유에 의해 다소 부착계면의 성능이 저하하는 것을 알 수 있었다. 부착계면의 물성은 강성과 강도로 구분하여 모델화하는 것이 합리적인 것으로 사료된다.

• 한국미생물·생명공학회지
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• 제42권2호
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• pp.131-138
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• 2014

While coupling wastewater treatment with microalgal bioenergy production is very promising, new approaches are needed to enhance microalgal growth and lipid accumulation in wastewater. Therefore, this study investigated the effect of iron on the growth, nutrient removal, and lipid accumulation of Scenedesmus sp. LX1 in both artificial wastewater and domestic secondary effluents. When increasing the iron concentration from 0 to 2 mg/l in the artificial wastewater, the biomass production of Scenedesmus sp. LX1 increased from 0.17 to 0.54 g/l; the nitrogen and phosphorus removal efficiency increased from 15.7% and 80.6% to 97.0% and 99.2%, respectively; and the lipid content was enhanced 84.2%. The relationship between the carrying capacity/maximal population growth rate of Scenedesmus sp. LX1 and the initial iron concentration were also in accordance with the Monod model. Furthermore, when increasing the iron concentration to 2 mg/l in four different domestic secondary effluent samples, the lipid content and lipid production of Scenedesmus sp. LX1 was improved by 17.4-33.7% and 21.5-41.8%, respectively.

• 한국강구조학회 논문집
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• 제18권2호
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• pp.147-160
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• 2006

본 논문에서는 개선소성힌지해석과 유전자 알고리듬을 이용한 평면 강골조 구조물의 퍼지최적설계 방법을 제시하였다. 개선소성힌지해석에서는 강골조 구조물의 기하학적 비선형성을 고려하기 위해 보-기둥 요소의 안정함수를 사용하였으며, 재료적 비선형을 고려하기 위해 잔류응력, 소성힌지, 그리고 기하학적 불완전성 등에 의한 점진적인 강성감소모델을 사용하였다. 유전자 알고리듬에서는 토너먼트 선택방법과 마이크로 유전자 알고리즘을 사용하였다. 목적함수로는 구조물의 총중량을 사용하였으며, 제약조건으로는 하중-저항능력, 사용성, 연성도, 그리고 시공성에 관한 기준을 고려하였다. 퍼지최적설계에서는 명확한 목적함수와 퍼지제약을 가지는 경우에 한하여 허용 오차는 제한값의 5%로 선택하고 비소속함수와 레벨컷 방법을 이용하여 0에서 1까지 0.2간격으로 나누어 최적화하였다. 여러 평면 강골조 구조물의 최적설계를 수행하여 일반GA최적설계와 퍼지GA최적설계의 최적값을 비교하였다.

• Tribology and Lubricants
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• 제34권6호
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• pp.247-253
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• 2018

Temperature rise due to viscous shear of the lubricating oil generates hydrodynamic pressure, even if the lubricating surfaces are parallel. This effect, known as the thermal wedge effect, varies significantly with film-temperature boundary conditions. The bearing conducts a part of the heat generated; hence, the oil temperature varies with the thermal conductivity of the bearing. In this study, we analyze the effect of thermal conductivity on the thermohydrodynamic (THD) lubrication of parallel slider bearings. We numerically analyze the continuity equation, Navier-Stokes equation, energy equation including the temperature-viscosity and temperature-density relations for lubricants, and the heat conduction equation for bearing by creating a 2D model of the micro-bearing using the commercial computational fluid dynamics (CFD) code FLUENT. We then compare the variation in temperature, viscosity, and pressure distributions with the thermal conductivity. The results demonstrate that the thermal conductivity has a significant influence on THD lubrication characteristics of parallel slider bearings. The lower the thermal conductivity, the greater the pressure generation due to the thermal wedge effect resulting in a higher load-carrying capacity and smaller frictional force. The present results can function as the basic data for optimum bearing design; however, the applicability requires further studies on various operating conditions.

• Computers and Concrete
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• 제30권3호
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• pp.175-183
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• 2022

To study the working mechanism and size effect of an innovative dovetail UHPC joint originated from the 5th Nanjing Yangtze River Bridge, a large-scale testing subject to negative bending moment was conducted and compared with the previous scaled specimens. The static responses, i.e., the crack pattern, failure mode, ductility and stiffness degradation were analyzed. It was found that the scaled specimens presented similar working stages and working mechanism with the large-scale ones. However, the post-cracking ductility and relative stiffness degradation all decrease with the enlarged length/scale, apart from the relative stiffness after flexural cracking. The slab stiffness at the flexural cracking stage is 90% of the initial stiffness while only 24% of the initial stiffness reserved in the ultimate stage. Finite element model (FEM) was established and compared with the experiments to verify its effectiveness in exploring the working mechanism of the innovative joint. Based on this effective method, a series of FEMs were established to further study the influence of material strength, pre-stressing level and ratio of reinforcement on its deflection-load relationship. It is found that the ratio of reinforcement can significantly improve its load-carrying capacity among the three major-influenced factors.

• Smart Structures and Systems
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• 제29권1호
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• pp.17-28
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• 2022

The cable component of cable-stayed bridges is gradually impacted by weather conditions, vehicle loads, and material corrosion. The stayed cable is a critical load-carrying part that closely affects the operational stability of a cable-stayed bridge. Damaged cables might lead to the bridge collapse due to their tension capacity reduction. Thus, it is necessary to develop structural health monitoring (SHM) techniques that accurately identify damaged cables. In this work, a combinational identification method of three efficient techniques, including statistical analysis, clustering, and neural network models, is proposed to detect the damaged cable in a cable-stayed bridge. The measured dataset from the bridge was initially preprocessed to remove the outlier channels. Then, the theory and application of each technique for damage detection were introduced. In general, the statistical approach extracts the parameters representing the damage within time series, and the clustering approach identifies the outliers from the data signals as damaged members, while the deep learning approach uses the nonlinear data dependencies in SHM for the training model. The performance of these approaches in classifying the damaged cable was assessed, and the combinational identification method was obtained using the voting ensemble. Finally, the combination method was compared with an existing outlier detection algorithm, support vector machines (SVM). The results demonstrate that the proposed method is robust and provides higher accuracy for the damaged cable detection in the cable-stayed bridge.

• Tribology and Lubricants
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• 제39권3호
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• pp.87-93
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• 2023

Nanofluids are dispersions of particles smaller than 100 nm (nanoparticles) in base fluids. They exhibit high thermal conductivity and are mainly applied in cooling applications. Nanolubricants use nanoparticles in base oils as lubricant additives, and have recently started gathering increased attention owing to their potential to improve the tribological and thermal performances of various machinery. Nanolubricants reduce friction and wear, mainly by the action of nanoparticles; however, only a few studies have considered the rheological properties of lubricants. In this study, we adopt a parallel slider bearing model that does not generate geometrical wedge effects, and conduct thermohydrodynamic (THD) analyses to evaluate the effect of higher thermal conductivity and viscosity, which are the main rheological properties of nanolubricants, on the lubrication performances. We use a commercial computational fluid dynamics code, FLUENT, to numerically analyze the continuity, Navier-Stokes, energy equations with temperature-viscosity-density relations, and thermal conductivity and viscosity models of the nanolubricant. The results show the temperature and pressure distributions, load-carrying capacity (LCC), and friction force for three film-temperature boundary conditions (FTBCs). The effects of the higher thermal conductivity and viscosity of the nanolubricant on the LCC and friction force differ significantly, according to the FTBC. The thermal conductivity increases with temperature, improving the cooling performance, reducing LCC, and slightly increasing the friction. The increase in viscosity increases both the LCC and friction. The analysis method in this study can be applied to develop nanolubricants that can improve the tribological and cooling performances of various equipment; however, additional research is required on this topic.

• 한국어병학회지
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• 제26권2호
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• pp.65-75
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• 2013

실험실에서 온도 별로 스쿠티카충을 배양한 데이터(Table 1)를 사용 스쿠티카충 개체군의 변화율(1.2)과 성장 방정식(1.3)을 in vitro 조건에서 구했다. 이 모델에서는 스쿠티카충의 증가모델 식은 로지스틱 증가함수로 두 가지 온도에서의 스쿠티카충의 증가율 매개변수를 구하였고, 기생충으로 인한 숙주인 넙치에 치명적일 수 있는 기생충의 임계밀도를 구하였다. 또 다른 데이터는 같은 온도에서 스쿠티카충 수를 다양하게 넙치의 복강에 주사하는 그룹과 동일한 스쿠티카충 수를 복강에 주사한 후 온도를 다르게 한 두 그룹의 스쿠티카충의 감염으로 폐사한 실험데이터(Table 2)에 근거하여 넙치의 감염에서 폐사가 되는 시스템 식(1.5)을 세웠다. 정리에서는 감염된 넙치와 폐사된 넙치의 미분방정식계는 감염넙치와 폐사 넙치와의 평형점을 찾고 그 평형점에 대한 안정성과 불안정성을 설명하였다. 각 온도에서의 매개변수를 사용하면 방정식 (1.6)은 시간에 대해 넙치의 누적 폐사량을 알 수 있는 방정식이다. 이 논문에서는 다양한 초기값 $P_0$값에 따른 넙치의 폐사를 중심으로 보았으므로 온도와 $P_0$가 동시에 넙치폐사에 어떠한 관계를 갖는 연구를 하기에는 제약을 갖고 있다. 이 연구의 제한점에서 언급했듯 실험을 여러 번 시행한 것이 아니기 때문에 단지 근사적인 값으로 이해를 해야 한다. 또한 넙치의 면역력을 알 수 있다면 기생충으로부터 저항력을 연구하는데 오차를 좀 더 줄인 근사치를 구할 수 있을 것을 기대할 수 있을 것이다.

• 대한토목학회논문집
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• 제33권1호
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• pp.115-130
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• 2013

철근콘크리트 파일캡의 설계 시 사용되고 있는 현행 설계기준의 단면법 및 스트럿-타이 모델 방법은 각각 B-영역으로 이루어진 철근콘크리트 구조부재의 거동과 2차원 응력교란영역을 갖는 철근콘크리트 구조부재의 거동에 기초한 것으로, 이를 응력교란영역(D-영역)을 갖고 3차원 거동이 지배적인 철근콘크리트 파일캡의 설계에 적용하는 것은 적절하지 않다. 이 연구에서는 3축 응력을 받는 콘크리트 스트럿 및 절점영역의 강도특성과 철근이 배치되지 않은 인장영역에서의 콘크리트 타이의 하중저항능력 등을 반영하여 철근콘크리트 파일캡을 합리적으로 설계할 수 있는 개선 3차원 스트럿-타이 모델을 제안하였다. 파괴실험이 수행된 78개 철근콘크리트 파일캡 시험체의 극한강도를 현행 설계기준의 단면법 및 스트럿-타이 모델 방법, 그리고 이 연구의 개선 3차원 스트럿-타이 모델을 이용하여 평가하였으며, 그 결과의 비교분석을 통해 스트럿-타이 모델 방법 적용 시의 3차원 거동 및 하중전달 메커니즘을 묘사하기 위한 적절한 구성요소의 필요성과 이 연구에서 제안한 개선 3차원 스트럿-타이 모델의 타당성을 검증하였다.