• 제목/요약/키워드: Matrix structures

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염수 환경에 노출된 고강성 탄소/에폭시 복합재의 물성치 변화 연구 (An Experimental Study on the Mechanical Properties of High Modulus Carbon-Epoxy Composite in Salt Water Environment)

  • 문철진;이청락;권진회;최진호;조맹효;김태경
    • Composites Research
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    • 제21권6호
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    • pp.1-7
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    • 2008
  • 본 연구에서는 염수환경이 고강성 탄소-에폭시 복합재의 기계적 특성에 미치는 영향을 살펴보았다. 시편은 UPN139B 탄소-에폭시 복합재로 제작하였고, 3.5% 염수에 0, 1, 3, 6, 9, 12개월 간의 침수 후 면내 인장시험과 전단시험을 수행하였다. 실험에서 온도 조절과 같이 흡수 시간을 절약하기 위한 특별한 가속방법은 사용하지 않았다. 섬유방향 및 기지방향 인장강도와 강성의 경우 12개월 동안의 침수에도 불구하고 특별한 변화를 발견할 수 없었다. 반면 12개월 침수 후 전단강도와 강성은 염수에 노출되지 않은 시편에 비해 약 10% 내외의 감소를 보였다. 본 연구를 통하여 UPN139B가 우수한 섬유방향 강성과 내부식성으로 인하여 염수환경에서 외부수압에 의한 좌굴을 지지해야 하는 구조물의 설계에 효과적으로 사용될 수 있음을 확인하였다.

다중벽 탄소나노튜브가 첨가된 평직 유리섬유/에폭시 복합재료의 미세구조 및 전자기적 특성 (Microstructure and Electromagnetic Characteristics of MWNT-filled Plain-Weave Glass/Epoxy Composites)

  • 이상의;박기연;이원준;김천곤;한재흥
    • Composites Research
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    • 제19권1호
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    • pp.36-42
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    • 2006
  • 본 논문에서는 다중벽 탄소나노튜브가 첨가된 평직 유리섬유/에폭시 복합재료를 제작하여 전자기적 특성을 고찰하였다. 제작된 복합재료의 미세구조를 관찰하여 재료 내에 MWNT가 유리섬유 얀들의 계면과 모재과잉영역에 주로 분포되어 있음을 관찰하였다. 유전율은 X-band (8.2-12.4 GHz) 주파수 영역에서 측정되었으며, MWNT의 무게비가 증가할수록 증가하며 주파수에 대해서는 거의 일정하게 유지됨을 알 수 있었다 측정된 유전율을 이용하여 두께에 따른 탄소나노튜브가 첨가된 복합재료로 이루어진 전자파 흡수 구조의 반사손실 특성을 살펴보았으며, 제작된 복합재료를 이용하여 10dB 흡수 대역이 X-band전역이며 두께는 3.3mm인 흡수체를 구현할 수 있음을 확인하였다.

저속충격을 받는 적층복합재료 평판의 직접 수치모사 (Direct Numerical Simulation of Composite laminates Under low velocity Impact)

  • 지국현;김승조
    • Composites Research
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    • 제19권1호
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    • pp.1-8
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    • 2006
  • 적층 복합재료에 가해지는 저속충격에 의한 동적 거동 및 손상의 예측은 복합재 구조물의 설계에 중요한 문제가 되고 있다. 특히 저속충격에 의한 손상을 기술하기 위하여 적층판 내의 면내응력 뿐만 아니라 층간응력이 중요한 역할을 하는데, 기존의 전통적인 접근 방법은 이들을 효과적으로 기술하지 못하는 단점이 있다 본 논문에서는 이러한 동적거동 및 손상을 기술하기 위한 수치해석 모델로서 내부 미시구조를 고려한 직접수치모사(DNS)방법을 이용하여 DNS 모델을 구성하였다. 그리고 이를 저속충격 문제에 적용하여 저속충격에 의한 동적 거동 및 재료내의 층간응력 해석을 미시적으로 접근하였다. 이때 기존의 거시적인 접근 방법에 따른 균질모델의 결과와 비교 해석을 보였다. 한편 복합재료 적층판의 효율적인 저속충격해석을 위하여 DNS 개념을 적용한 멀티스케일 모델을 개발하여 기존의 균질화된 모델에서 보일 수 없었던 충격 부위의 국부적인 동적 거동을 효과적으로 기술하였다.

Multiscale bending and free vibration analyses of functionally graded graphene platelet/ fiber composite beams

  • Garg, A.;Mukhopadhyay, T.;Chalak, H.D.;Belarbi, M.O.;Li, L.;Sahoo, R.
    • Steel and Composite Structures
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    • 제44권5호
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    • pp.707-720
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    • 2022
  • In the present work, bending and free vibration analyses of multilayered functionally graded (FG) graphene platelet (GPL) and fiber-reinforced hybrid composite beams are carried out using the parabolic function based shear deformation theory. Parabolic variation of transverse shear stress across the thickness of beam and transverse shear stress-free conditions at top and bottom surfaces of the beam are considered, and the proposed formulation incorporates a transverse displacement field. The present theory works only with four unknowns and is computationally efficient. Hamilton's principle has been employed for deriving the governing equations. Analytical solutions are obtained for both the bending and free vibration problems in the present work considering different variations of GPLs and fibers distribution, namely, FG-X, FG-U, FG-Λ, and FG-O for beams having simply-supported boundary condition. First, the matrix is assumed to be strengthened using GPLs, and then the fibers are embedded. Multiscale modeling for material properties of functionally graded graphene platelet/fiber hybrid composites (FG-GPL/FHRC) is performed using Halpin-Tsai micromechanical model. The study reveals that the distributions of GPLs and fibers have significant impacts on the stresses, deflections, and natural frequencies of the beam. The number of layers and shape factors widely affect the behavior of FG-GPL-FHRC beams. The multilayered FG-GPL-FHRC beams turn out to be a good approximation to the FG beams without exhibiting the stress-channeling effects.

A new multi-stage SPSO algorithm for vibration-based structural damage detection

  • Sanjideh, Bahador Adel;Hamzehkolaei, Azadeh Ghadimi;Hosseinzadeh, Ali Zare;Amiri, Gholamreza Ghodrati
    • Structural Engineering and Mechanics
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    • 제84권4호
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    • pp.489-502
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    • 2022
  • This paper is aimed at developing an optimization-based Finite Element model updating approach for structural damage identification and quantification. A modal flexibility-based error function is introduced, which uses modal assurance criterion to formulate the updating problem as an optimization problem. Because of the inexplicit input/output relationship between the candidate solutions and the error function's output, a robust and efficient optimization algorithm should be employed to evaluate the solution domain and find the global extremum with high speed and accuracy. This paper proposes a new multi-stage Selective Particle Swarm Optimization (SPSO) algorithm to solve the optimization problem. The proposed multi-stage strategy not only fixes the premature convergence of the original Particle Swarm Optimization (PSO) algorithm, but also increases the speed of the search stage and reduces the corresponding computational costs, without changing or adding extra terms to the algorithm's formulation. Solving the introduced objective function with the proposed multi-stage SPSO leads to a smart feedback-wise and self-adjusting damage detection method, which can effectively assess the health of the structural systems. The performance and precision of the proposed method are verified and benchmarked against the original PSO and some of its most popular variants, including SPSO, DPSO, APSO, and MSPSO. For this purpose, two numerical examples of complex civil engineering structures under different damage patterns are studied. Comparative studies are also carried out to evaluate the performance of the proposed method in the presence of measurement errors. Moreover, the robustness and accuracy of the method are validated by assessing the health of a six-story shear-type building structure tested on a shake table. The obtained results introduced the proposed method as an effective and robust damage detection method even if the first few vibration modes are utilized to form the objective function.

Avenanthramide-C Shows Potential to Alleviate Gingival Inflammation and Alveolar Bone Loss in Experimental Periodontitis

  • Su-Jin Kim;Se Hui Lee;Binh Do Quang;Thanh-Tam Tran;Young-Gwon Kim;Jun Ko;Weon-Young Choi;Sun Young Lee;Je-Hwang Ryu
    • Molecules and Cells
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    • 제46권10호
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    • pp.627-636
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    • 2023
  • Periodontal disease is a chronic inflammatory disease that leads to the gradual destruction of the supporting structures of the teeth including gums, periodontal ligaments, alveolar bone, and root cementum. Recently, interests in alleviating symptoms of periodontitis (PD) using natural compounds is increasing. Avenanthramide-C (Avn-C) is a polyphenol found only in oats. It is known to exhibit various biological properties. To date, the effect of Avn-C on PD pathogenesis has not been confirmed. Therefore, this study aimed to verify the protective effects of Avn-C on periodontal inflammation and subsequent alveolar bone erosion in vitro and in vivo. Upregulated expression of catabolic factors, such as matrix metalloproteinase 1 (MMP1), MMP3, interleukin (IL)-6, IL-8, and COX2 induced by lipopolysaccharide and proinflammatory cytokines, IL-1β, and tumor necrosis factor α (TNF-α), was dramatically decreased by Avn-C treatment in human gingival fibroblasts and periodontal ligament cells. Moreover, alveolar bone erosion in the ligature-induced PD mouse model was ameliorated by intra-gingival injection of Avn-C. Molecular mechanism studies revealed that the inhibitory effects of Avn-C on the upregulation of catabolic factors were mediated via ERK (extracellular signal-regulated kinase) and NF-κB pathway that was activated by IL-1β or p38 MAPK and JNK signaling that was activated by TNF-α, respectively. Based on this study, we recommend that Avn-C may be a new natural compound that can be applied to PD treatment.

Using DQ method for vibration analysis of a laminated trapezoidal structure with functionally graded faces and damaged core

  • Vanessa Valverde;Patrik Viktor;Sherzod Abdullaev;Nasrin Bohlooli
    • 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.

Emendation of Rhodomonas marina (Cryptophyceae): insights from morphology, molecular phylogeny and water-soluble pigment in an Arctic isolate

  • Niels Daugbjerg;Cecilie B. Devantier
    • ALGAE
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    • 제39권2호
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    • pp.75-96
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    • 2024
  • Rhodomonas (Cryptophyceae) and species assigned to this genus have undergone numerous taxonomic revisions. This also applies to R. marina studied here as it was originally assigned as a species of Cryptomonas and later considered a variation of R. baltica, the type species. Despite being described more than 130 years ago, R. marina still lacks a comprehensive characterization. Light and electron microscopy were employed to delineate a strain from western Greenland. The living cells were 18 ㎛ long and 9 ㎛ wide, elliptical in shape with a pointed to rounded posterior and truncated anterior in lateral view. Two sub-equal flagella emerged from a vestibulum, where also a furrow extended. In transmission electron microscopy, the furrow was associated with a tubular gullet and the pyrenoid embedded in a deeply lobed chloroplast. The chloroplast contained DNA in perforations and was surrounded by starch grains. A tubular nucleomorph was enclosed within the pyrenoid matrix. In scanning electron microscopy, the inner periplast consisted of rectangular plates with rounded edges and posteriorly these were replaced by a sheet-like structure. The water-soluble pigment was Crypto-Phycoerythrin type I (Cr-PE 545). A phylogenetic inference based on SSU rDNA confirmed the identity of strain S18 as a species of Rhodomonas as it clustered with congeners but also Rhinomonas, Storeatula, and Pyrenomonas. These genera formed a monophyletic clade separated from a diverse assemblage of other cryptophyte genera. To further explore the phylogeny of R. marina a concatenated phylogenetic analysis based on the SSU rDNA-ITS1-5.8S rDNA-ITS2-LSU rDNA region was performed but included only closely related species. The secondary structure of nuclear internal transcribed spacer 2 was predicted and compared to similar structures in related species. Using morphological and molecular signatures as diagnostic features the description of R. marina was emended.

딥러닝 기술을 적용한 그래프 알고리즘 성능 연구 (Research on Performance of Graph Algorithm using Deep Learning Technology)

  • 노기섭
    • 문화기술의 융합
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    • 제10권1호
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    • pp.471-476
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    • 2024
  • 다양한 스마트 기기 및 컴퓨팅 디바이스의 보급에 따라 빅데이터 생성이 광범위하게 일어나고 있다. 기계학습은 데이터의 패턴을 학습하여 추론을 수행하는 알고리즘이다. 다양한 기계학습 알고리즘 중에서 주목을 받는 알고리즘은 신경망 기반의 딥러닝 학습이다. 딥러닝은 다양한 응용이 발표되면서 빠른 성능 향상을 달성하고 있다. 최근 딥러닝 알고리즘 중에서 그래프 구조를 활용하여 데이터를 분석하려는 시도가 증가하고 있다. 본 연구에서는 그래프 구조를 활용하여 딥러닝 네트워크에 전달하기 위한 그래프 생성 방법을 제시한다. 본 논문은 그래프 생성 과정에서 노드의 속성과 간선의 가중치를 일반화하고 행렬화 과정을 제시하여 딥러닝 입력에 필요한 구조로 전환하는 방법을 제시한다. 그래프 생성 과정에서 속성과 가중치 정보를 보전할 수 있는 선형변환 매트릭스 적용 방법을 제시한다. 마지막으로 일반 그래프의 딥러닝 입력 구조를 제시하고 성능 분석을 위한 접근법을 제시한다.

Nonlocal bending, vibration and buckling of one-dimensional hexagonal quasicrystal layered nanoplates with imperfect interfaces

  • Haotian Wang;Junhong Guo
    • Structural Engineering and Mechanics
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    • 제89권6호
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    • pp.557-570
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    • 2024
  • Due to interfacial ageing, chemical action and interfacial damage, the interface debonding may appear in the interfaces of composite laminates. Particularly, the laminates display a side-dependent effect at small scale. In this work, a three-dimensional (3D) and anisotropic thick nanoplate model is proposed to investigate the effects of imperfect interface and nonlocal parameter on the bending deformation, vibrational response and buckling stability of one-dimensional (1D) hexagonal quasicrystal (QC) layered nanoplates. By combining the linear spring model with the transferring matrix method, exact solutions of phonon and phason displacements, phonon and phason stresses of bending deformation, the natural frequencies of vibration and the critical buckling loads of 1D hexagonal QC layered nanoplates are derived with imperfect interfaces and nonlocal effects. Numerical examples are illustrated to demonstrate the effects of the imperfect interface parameter, aspect ratio, thickness, nonlocal parameter, and stacking sequence on the bending deformation, the vibrational response and the critical buckling load of 1D hexagonal QC layered nanoplate. The results indicate that both the interface debonding and nonlocal effect can reduce the stiffness and stability of layered nanoplates. Increasing thickness of QC coatings can enhance the stability of sandwich nanoplates with the perfect interfaces, while it can reduce first and then enhance the stability of sandwich nanoplates with the imperfect interfaces. The biaxial compression easily results in an instability of the QC layered nanoplates compared to uniaxial compression. QC material is suitable for surface layers in layered structures. The mechanical behavior of QC layered nanoplates can be optimized by imposing imperfect interfaces and controlling the stacking sequence artificially. The present solutions are helpful for the various numerical methods, thin nanoplate theories and the optimal design of QC nano-composites in engineering practice with interfacial debonding.