• Geomechanics and Engineering
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• 제28권6호
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• pp.599-611
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• 2022

Tendon reinforced cemented soil is applied extensively in foundation stabilisation and improvement, especially in areas with soft clay. To solve the deterioration problem led by steel corrosion, the glass fiber-reinforced polymer (GFRP) tendon is introduced to substitute the traditional steel tendon. The interface bond strength between the cemented soil matrix and GFRP tendon demonstrates the outstanding mechanical property of this composite. However, the lack of research between the influence factors and bond strength hinders the application. To evaluate these factors, back propagation neural network (BPNN) is applied to predict the relationship between them and bond strength. Since adjusting BPNN parameters is time-consuming and laborious, the particle swarm optimisation (PSO) algorithm is proposed. This study evaluated the influence of water content, cement content, curing time, and slip distance on the bond performance of GFRP tendon-reinforced cemented soils (GTRCS). The results showed that the ultimate and residual bond strengths were both in positive proportion to cement content and negative to water content. The sample cured for 28 days with 30% water content and 50% cement content had the largest ultimate strength (3879.40 kPa). The PSO-BPNN model was tuned with 3 neurons in the input layer, 10 in the hidden layer, and 1 in the output layer. It showed outstanding performance on a large database comprising 405 testing results. Its higher correlation coefficient (0.908) and lower root-mean-square error (239.11 kPa) were obtained compared to multiple linear regression (MLR) and logistic regression (LR). In addition, a sensitivity analysis was applied to acquire the ranking of the input variables. The results illustrated that the cement content performed the strongest influence on bond strength, followed by the water content and slip displacement.

• Structural Engineering and Mechanics
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• 제83권4호
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• pp.551-561
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• 2022

In this paper, the effect of fire conditions according to ISO 834 standard on the behavior of carbon fibre-reinforced plastic (CFRP) reinforced steel beams coated with gypsum-based mortar has been investigated numerically. To study the efficiency of these beams, 3D coupled temperature-displacement finite element analyzes have been conducted. Mechanical and thermal characteristics of three different parts of composite beams, i.e., steel, CFRP plate, and fireproof coating, were considered as a function of temperature. The interaction between steel and CFRP plate has been simulated employing the adhesion model. The effect of temperature, CFRP plate reinforcement, and the fireproof coating thickness on the deformation of the beams have been analyzed. The results showed that within the first 120 min of fire exposure, increasing the thickness of the fireproof coating from 1 mm to 10 mm reduced the maximum temperature of the outer surface of the steel beam from 380℃ to 270℃. This increase in the thickness of the fireproof layer decreased the rate of growth in the temperature of the steel beam by approximately 30%. Besides excellent thermal resistance and gypsum-based mortar, the studied fireproof coating method could provide better fire resistance for steel structures and thus can be applied to building materials.

• Computers and Concrete
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• 제31권4호
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• pp.293-306
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• 2023

This study proposes and demonstrates a smart monitoring system that uses transmission lines embedded in a reinforced concrete structure to detect the presence of defects through changes in the electromagnetic waves generated and measured by a time-domain reflectometer. Laboratory experiments were first conducted to identify the presence of voids in steel-concrete composite columns. The results indicated that voids in the concrete caused a positive signal reflection, and the amplitude of this signal decreased as the water content of the soil in the void increased. Multiple voids resulted in a decrease in the amplitude of the signal reflected at each void, effectively identifying their presence despite amplitude reduction. Furthermore, the electromagnetic wave velocity increased when voids were present, decreased as the water content of the soil in the voids increased, and increased with the water-cement ratio and curing time. Field experiments were then conducted using bored piles with on-center (sound) and off-center (defective) steel-reinforcement cage alignments. The results indicated that the signal amplitude in the defective pile section, where the off-center cage was poorly covered with concrete, was greater than that in the pile sections where the cage was completely covered with concrete. The crosshole sonic logging results for the same defective bored pile failed to identify an off-center cage alignment defect. Therefore, this study demonstrates that electromagnetic waves can be a useful tool for monitoring the health and integrity of reinforced concrete structures.

• 한국지반공학회논문집
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• 제26권6호
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• pp.39-44
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• 2010

강합성 구조물의 설계절차는 파형강판구조물에 대한 현행 국내외 시방기준을 따르고 있는데, 시방기준이 2차원 해석 및 설계를 바탕으로 규정되어 있기 때문에 비등가 단면인 강합성 빔보강 공법에는 현행 시방기준을 적용할 수 없다. 그러므로 등가단면의 구조물로 환산하여 2차원 해석 및 설계를 수행하게 된다. 그러나 강합성 빔보강 공법은 종방향을 따라 일정한 간격을 두고 빔과 타입콘크리트를 이용하여 보강을 한 형태이기 때문에 3차원 해석에 기초한 설계과정이 요구된다. 따라서 본 연구에서는 수치해석을 통해 3차원 설계를 위한 해석적인 근거를 제시하고자 한다.

• Steel and Composite Structures
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• 제51권1호
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• pp.73-91
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• 2024

This paper has focused on presenting vibration analysis of trapezoidal sandwich plates with a damaged core and FG wavy CNT-reinforced face sheets. A damage model is introduced to provide an analytical description of an irreversible rheological process that causes the decay of the mechanical properties, in terms of engineering constants. An isotropic damage is considered for the core of the sandwich structure. The classical theory concerning the mechanical efficiency of a matrix embedding finite length fibers has been modified by introducing the tube-to-tube random contact, which explicitly accounts for the progressive reduction of the tubes' effective aspect ratio as the filler content increases. The First-order shear deformation theory of plate is utilized to establish governing partial differential equations and boundary conditions for the trapezoidal plate. The governing equations together with related boundary conditions are discretized using a mapping-generalized differential quadrature (GDQ) method in spatial domain. Then natural frequencies of the trapezoidal sandwich plates are obtained using GDQ method. Validity of the current study is evaluated by comparing its numerical results with those available in the literature. After demonstrating the convergence and accuracy of the method, different parametric studies for laminated trapezoidal structure including carbon nanotubes waviness (0≤w≤1), CNT aspect ratio (0≤AR≤4000), face sheet to core thickness ratio (0.1 ≤ ${\frac{h_f}{h_c}}$ ≤ 0.5), trapezoidal side angles (30° ≤ α, β ≤ 90°) and damaged parameter (0 ≤ D < 1) are carried out. It is explicated that the damaged core and weight fraction, carbon nanotubes (CNTs) waviness and CNT aspect ratio can significantly affect the vibrational behavior of the sandwich structure. Results show that by increasing the values of waviness index (w), normalized natural frequency of the structure decreases, and the straight CNT (w=0) gives the highest frequency. For an overall comprehension on vibration of laminated trapezoidal plates, some selected vibration mode shapes were graphically represented in this study.

• Steel and Composite Structures
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• 제51권3호
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• pp.243-260
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• 2024

Thirteen self-compacting recycled concrete filled aluminium tubular (SCRCFAT) columns were tested under concentric compression loads. The effects of the replacement ratio of the recycled concrete aggregate (RCA) and steel fibre (SF) reinforcement on the structural performance of the SCRCFAT columns were studied. A control specimen (C000) was cast with normal concrete without SF to be reference for comparison. Twelve columns were cast using RCA, six columns were cast using concrete incorporating 2% SF while the rest of columns were cast without SF. Failure mode, ductility, ultimate load capacity, axial deformation, ultimate strains, stress-strain response, and stiffness of the SCRCFAT columns were studied. The results showed that, the peak load of tested SCRCFAT columns incorporating 5-100 % RCA without SF reduced by 2.33-11.28 % compared to that of C000. Conversely, the peak load of tested SCRCFAT columns incorporating 5-100% RCA in addition to 2% SF increased by 21.1-40.25%, compared to C000. Consequently, the ultimate axial deformation (Δ) of column C100 (RCA=100% and SF 0%) increased by about 118.9 % compared to C000. The addition of 2% SF to the concrete mix decreased the axial deformation of SCRCFAT columns compared to those cast with 0% SF. Moreover, the stiffness of the columns cast without SF decreased as the RCA % increased. In contrast, the columns stiffness cast with 2% SF increased by 26.28-89.7 % over that of C000. Finally, a theoretical model was proposed to predict the ultimate loads tested SCRCFAT columns and the obtained theoretical results agreed well with the experimental results.

• Advances in nano research
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• 제16권5호
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• pp.509-519
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• 2024

In this study, the static analysis of carbon nanotube-reinforced composites (CNTRC) beams resting on a Winkler-Pasternak elastic foundation is presented. The developed theories account for higher-order variation of transverse shear strain through the depth of the beam and satisfy the stress-free boundary conditions on the top and bottom surfaces of the beam. To study the effect of carbon nanotubes distribution in functionally graded (FG-CNT), we introduce in the equation of CNT volume fraction a new exponent equation. The SWCNTs are assumed to be aligned and distributed in the polymeric matrix with different patterns of reinforcement. The rule of mixture is used to describe the material properties of the CNTRC beams. The governing equations were derived by employing Hamilton's principle. The models presented in this work are numerically provided to verify the accuracy of the present theory. The analytical solutions are presented, and the obtained results are compared with the existing solutions to verify the validity of the developed theories. Many parameters are investigated, such as the Pasternak shear modulus parameter, the Winkler modulus parameter, the volume fraction, and the order of the exponent in the volume fraction equation. New results obtained from bending and stresses are presented and discussed in detail. From the obtained results, it became clear the influence of the exponential CNTs distribution and Winkler-Pasternak model improved the mechanical properties of the CNTRC beams.

• Structural Monitoring and Maintenance
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• 제10권4호
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• pp.315-337
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• 2023

During the design phase, it is crucial to determine the interface stresses between the reinforcing plate and the concrete base in order to predict plate end separation failures. In this work, a simple theoretical study of interface shear stresses in beams reinforced with P-FGM and E-FGM plates subjected to an arbitrarily positioned point load, or two symmetrical point loads, was presented using the linear elastic theory. The presence of pores in the reinforcing plate distributed in several forms was also taken into account. For this purpose, we analyze the effects of porosity and its distribution shape on the interracial normal and shear stresses of an FGM beam reinforced with an FRP plate under different types of load. Comparisons of the proposed model with existing analytical solutions in the literature confirm the feasibility and accuracy of this new approach. The influence of different parameters on the interfacial behavior of reinforced concrete beams reinforced with functionally graded porous plates is further examined in this parametric study using the proposed model. From the results obtained in this study, we can say that interface stress is significantly affected by several factors, including the pores present in the reinforcing plate and their distribution shape. Additionally, we can conclude from this study that reinforcement systems with composite plates are very effective in improving the flexural response of reinforced RC beams.

• Composites Research
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• 제37권3호
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• pp.155-161
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• 2024

질화붕소나노튜브와 탄소나노튜브는 가장 대표적인 1차원 나노구조체로, 기존의 금속 및 세라믹재료에 비해 매우 뛰어난 물성을 가지고 있음이 알려지면서 다기능성 경량복합재의 강화재로 가장 큰 주목을 받아왔다. 각각 저 차원 무기나노소재와 유기나노소재를 대표하는 이들 나노구조는 우열을 가리기 어려울 정도로 뛰어난 기계적강성과 강도 그리고 열전도 특성을 가지고 있다. 따라서 구조용 복합소재 및 방열 복합재 분야에서 이 두 나노튜브의 강화효과는 고분자기지와 혼합되면서 형성되는 재료 간 계면 물성이 어떠한가에 의해 크게 영향을 받게 된다. 본 논문에서는 질화붕소나노튜브와 탄소나노튜브가 복합재 내 기지와 형성하는 계면 물성에 대한 비교 연구 사례를 통해 두 나노튜브의 강화효과에 대해 고찰한다. 기계적특성을 좌우할 수 있는 계면에서의 하중전달 특성을 튜브의 인발거동과 분자모델링을 통한 상호작용 에너지를 통해 분석한 결과와 더불어, 나노튜브에 결함이 존재하는 경우 두 나노튜브가 보이게 되는 상반되는 계면특성변화에 대해 점탄성 거동을 예시로 하여 소개한다.

• 지능정보연구
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• 제25권1호
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• pp.1-19
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• 2019

제4차 산업혁명을 이끄는 주요 원동력 중 하나인 인공지능 기술은 이미지와 음성 인식 등 여러 분야에서 사람과 유사하거나 더 뛰어난 능력을 보이며, 사회 전반에 미치게 될 다양한 영향력으로 인하여 높은 주목을 받고 있다. 특히, 인공지능 기술은 의료, 금융, 제조, 서비스, 교육 등 광범위한 분야에서 활용이 가능하기 때문에, 현재의 기술 동향을 파악하고 발전 방향을 분석하기 위한 노력들 또한 활발히 이루어지고 있다. 한편, 이러한 인공지능 기술의 급속한 발전 배경에는 학습, 추론, 인식 등의 복잡한 인공지능 알고리즘을 개발할 수 있는 주요 플랫폼들이 오픈 소스로 공개되면서, 이를 활용한 기술과 서비스들의 개발이 비약적으로 증가하고 있는 것이 주요 요인 중 하나로 확인된다. 또한, 주요 글로벌 기업들이 개발한 자연어 인식, 음성 인식, 이미지 인식 기능 등의 인공지능 소프트웨어들이 오픈 소스 소프트웨어(OSS: Open Sources Software)로 무료로 공개되면서 기술확산에 크게 기여하고 있다. 이에 따라, 본 연구에서는 온라인상에서 다수의 협업을 통하여 개발이 이루어지고 있는 인공지능과 관련된 주요 오픈 소스 소프트웨어 프로젝트들을 분석하여, 인공지능 기술 개발 현황에 대한 보다 실질적인 동향을 파악하고자 한다. 이를 위하여 깃허브(Github) 상에서 2000년부터 2018년 7월까지 생성된 인공지능과 관련된 주요 프로젝트들의 목록을 검색 및 수집하였으며, 수집 된 프로젝트들의 특징과 기술 분야를 의미하는 토픽 정보들을 대상으로 텍스트 마이닝 기법을 적용하여 주요 기술들의 개발 동향을 연도별로 상세하게 확인하였다. 분석 결과, 인공지능과 관련된 오픈 소스 소프트웨어들은 2016년을 기준으로 급격하게 증가하는 추세이며, 토픽들의 관계 분석을 통하여 주요 기술 동향이 '알고리즘', '프로그래밍 언어', '응용분야', '개발 도구'의 범주로 구분하는 것이 가능함을 확인하였다. 이러한 분석 결과를 바탕으로, 향후 다양한 분야에서의 활용을 위해 개발되고 있는 인공지능 관련 기술들을 보다 상세하게 구분하여 확인하는 것이 가능할 것이며, 효과적인 발전 방향 모색과 변화 추이 분석에 활용이 가능할 것이다.